Systems Implementation Jobs in Bengaluru

Service Delivery Executive Department: Unitary Service Location: Bengaluru Job Purpose The Service Delivery Executive is responsible for ensuring high-quality service delivery and achieving revenue targets through effective management of service operations and channel partners. This role focuses on preventive maintenance, complaint resolution, and maintaining a high Customer Satisfaction Index (CSI). Key Responsibilities Complaint Management: Monitor open service complaints and ensure timely closure according to SLAs. Revenue Generation: Achieve financial targets through AMC, spare parts sales, and specialized service offerings. Quality Assurance: Adhere to preventive maintenance schedules and conduct regular service quality audits. Data Management: Maintain accurate customer information and end-user data within the internal systems. Customer Engagement: Drive proactive engagement to resolve concerns and improve the Customer Satisfaction Index (CSI). Partner Operations: Manage invoice processing, defective spare returns, and warranty claims from channel partners. Market Feedback: Collect and report competitor insights and market trends to HQ. Process Implementation: Ensure all channel partners adhere to standard systems and processes for smooth operations. Key Skills & Competencies Strong knowledge of UCPG products and service offerings. Technical expertise in service operations and channel management. Proficiency in vendor and dealer management. Strong negotiation, presentation, and interpersonal skills. Qualifications & Experience Education: Diploma or B.E. in a relevant discipline. Experience: 3 8 years in Service Delivery, Customer Support, or related roles. Qualification : Diploma or B.E. in a relevant discipline

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Manager Adobe AEM Engineering Location: Bengaluru, India Department: Experience Engineering | Adobe AEM Type: Full-Time About the Role As a Manager Adobe AEM, you will lead the delivery of end-to-end digital experience platforms for global clients using Adobe Experience Manager and other Adobe Experience Cloud solutions. You will architect, implement, and optimize scalable enterprise content management solutions, while mentoring technical teams and working directly with clients to understand and translate business requirements into robust, scalable systems. Key Responsibilities Lead design, architecture, and implementation of large-scale AEM projects (Sites, Assets, AEM as a Cloud Service). Architect AEM components, templates, workflows, tagging, publishing, and metadata models. Define and implement cloud-native, SEO-optimized, accessible, secure, and performant digital platforms. Oversee quality processes, including CI/CD (e.g., Jenkins, Bamboo, Cloud Manager), code reviews, SonarQube, and automated testing. Manage infrastructure setup and configurations: Load Balancers, Apache, CDN, DR, and AEM environments. Collaborate across cross-functional teams including frontend (React, Angular, HTL), backend (Java), QA, and DevOps. Support content migration, integrations with eCommerce platforms (Hybris, Magento), and Digital Asset Management systems. Ensure adoption of best practices in performance, scalability, monitoring, and responsive design. Interface directly with clients for technical consulting, requirement gathering, and delivery oversight. Lead and mentor development teams (20+ members) across all project phases in Agile/Scrum environments. Required Skills & Experience 10+ years of experience in software engineering with at least 5+ in AEM development. Deep expertise in AEM architecture (including SaaS/Cloud Service, SDK), deployment (Maven), and migration planning. Proficient in Java 8/11, JCR, OSGi, Sling Models, HTL, JSP, and server-side integrations. Strong understanding of frontend development (ReactJS, Angular, Bootstrap, HTML5, CSS3, JS frameworks). Familiarity with Adobe I/O Runtime, Adobe Events, and cloud platforms (AWS, Azure, GCP). Experience with Adobe Experience Cloud tools: Target, Analytics, Campaign, Launch, Scene7. Proven success in leading full-stack delivery teams including frontend, backend, QA, and PM. Knowledge of SEO, accessibility (WCAG A, AA, AAA), performance monitoring (New Relic, AppDynamics), and analytics integration. Hands-on with monitoring and observability tools: Squid, Nagios, Zabbix, Ganglia, etc. Exposure to Agile methodologies and estimation/planning across digital project lifecycles. Bonus / Preferred Qualifications Experience integrating AEM with eCommerce (Magento, Hybris, ElasticPath). Working knowledge of microservices, containerization, and RESTful services. Adobe certifications (e.g., Adobe Certified Expert AEM Developer/Architect). Familiarity with Adobe I/O integrations and Adobe Dynamic Media. Benefits Gender-Neutral Policy 18 Paid Holidays per year Parental Leave and New Parent Transition Program Flexible Work Arrangements Employee Wellness Programs About Publicis Sapient Publicis Sapient is a premier digital transformation partner helping global enterprises redefine their future with technology. With over 20,000 professionals across 53 offices worldwide, we deliver bold digital solutions across strategy, customer experience, data, and engineering.

AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

Systems Development Engineer Google Cloud Location: Bengaluru, Karnataka, India Company: Google Minimum Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field; or equivalent practical experience. 2+ years of experience with systems automation. 2+ years of experience in technical infrastructure (e.g., deployment, maintenance, troubleshooting). Preferred Qualifications 3+ years of experience in systems design and implementation. About the Role As a Systems Development Engineer (SDE) at Google Cloud, you will be part of a team responsible for managing and scaling critical services and infrastructure. This role emphasizes automation, reliability, and observability, using engineering practices to eliminate manual toil and improve system efficiency. Google SDEs design and build the tools and systems that power the infrastructure for Google s services, transforming telemetry into actionable insights and proactively solving operational challenges. You ll have the opportunity to work on impactful, large-scale projects in an environment that fosters learning, collaboration, and growth. Key Responsibilities Participate in on-call rotations and incident response, managing services within your domain. Troubleshoot infrastructure and system issues, evaluate diagnostic data, and recommend solutions. Resolve tickets and bugs within defined service-level objectives (SLOs). Collaborate with primary responders to maintain high availability and reliability of systems. Contribute to the design and implementation of systems and services in related domains. Work directly with customers to gather requirements, define distributed system needs, and propose solutions. Develop automation tools and systems to improve efficiency and reduce operational overhead. About Google Cloud Google Cloud helps organizations transform their business with advanced technologies and enterprise-grade solutions. With a focus on sustainability, innovation, and scalability, Google Cloud serves customers in over 200 countries and territories, providing the tools and infrastructure necessary to solve the world s most complex business challenges. Qualification : Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

Lead Software Engineer - Backend Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is redefining service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds through the analysis of structured and unstructured data. We work across industries, including high-tech devices, manufacturing, and medical devices, enabling service leaders to excel in critical metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you ll be part of an innovative and dynamic team that is shaping the future of service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. This is your chance to make an impact in a fast-growing startup and work with cutting-edge technology. About the Team As a Lead Software Engineer - Backend, you will play a crucial role in architecting, developing, and optimizing backend systems for our groundbreaking products. You will lead a talented team, collaborating across functions to deliver scalable and high-performance systems. As a leader, you ll also mentor and guide junior engineers to help them grow in their careers. What You ll Do: Backend Systems Design: Lead the design and implementation of scalable, reliable, and high-performance backend systems. Distributed Systems: Develop and optimize distributed systems to handle large-scale traffic and data. System Architecture: Lead the architecture and design of critical components, ensuring robust and efficient solutions. Code Development: Write clean, maintainable, and efficient code that powers our AI-driven platform. Cross-Functional Collaboration: Work closely with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions. Troubleshooting & Debugging: Solve complex production issues and implement reliable, performance-optimized solutions. Mentorship: Provide guidance and mentorship to junior and mid-level engineers, fostering a collaborative environment. Continuous Learning: Stay updated on the latest trends and advancements in backend development, AI, and distributed systems. What We re Looking For: Experience: Minimum 10 years of professional experience in backend development, with at least 4 years of experience in AI, NLP, or ML. Programming Skills: Expertise in one of the following programming languages: Java, Python, or Golang. Distributed Systems: Proven experience in building and maintaining distributed systems at scale. Cloud Platforms: Familiarity with at least one major cloud platform (Azure, AWS, or GCP). System Design: Strong understanding of system design, architecture patterns, and data structures. Database Knowledge: Experience with relational and NoSQL databases. API Development: Proficiency in developing RESTful APIs and microservices. Security & Performance: Solid understanding of security best practices and performance optimization in backend systems. Problem-Solving Skills: Strong analytical skills with a proven track record of solving complex engineering challenges. Communication: Excellent communication skills with the ability to collaborate across teams and interact with non-technical stakeholders. Preferred Skills: Containerization: Experience with Kubernetes, Docker, or other containerization tools for scalable deployment. Messaging Systems: Familiarity with Kafka, RabbitMQ, or similar messaging systems for real-time data processing. CI/CD: Knowledge of CI/CD pipelines and automation tools to ensure efficient development and deployment. Data Pipelines: Familiarity with data pipelining frameworks such as PySpark, Flink, or similar for real-time processing. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in every aspect of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with hybrid work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re excited about building innovative backend solutions and want to work with cutting-edge technologies in a forward-thinking team, we d love to hear from you!

Backend Engineer - RAG & ML Specialization Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup based in Bengaluru, India, on a mission to make AI accessible and impactful for Bharat. We develop high-performance, cost-effective AI agents tailored to the Indian market, empowering enterprises to unlock new opportunities and create meaningful customer connections. Join us as we reshape AI for India and beyond. Role Overview As a Backend Engineer specializing in RAG (Retrieval-Augmented Generation) systems and Machine Learning (ML) applications, you'll be building scalable backend systems that power AI-driven services. Your work will be critical in developing high-performance platforms for voice and generative AI applications, ensuring secure, scalable, and seamless AI model deployments. Key Responsibilities Backend Development: Design, develop, and maintain scalable, efficient backend applications and RESTful APIs using Python and FastAPI. RAG System Implementation: Build and optimize Retrieval-Augmented Generation (RAG) systems for AI applications, focusing on enhancing AI-driven search and retrieval capabilities. Data Pipeline Management: Develop and manage data pipelines and workflows for integrating AI and ML models into production systems. Code Quality: Ensure adherence to coding best practices, including writing modular code, implementing unit tests, and conducting code reviews. Cross-functional Collaboration: Work closely with AI/ML engineers, data scientists, and other teams to integrate machine learning models into backend systems. Database Optimization: Optimize database queries and efficiently manage both structured and unstructured data. CI/CD Practices: Continuously integrate and deploy code, using version control systems like Git and CI/CD pipelines. System Architecture: Contribute to architectural discussions and improvements, focusing on scalability and performance optimization. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field. Programming Skills: Strong proficiency in Python, with a solid understanding of programming fundamentals. Web Frameworks: Experience building backend services using FastAPI, Flask, or Django. Database Knowledge: Familiarity with SQL operations and NoSQL databases for efficient data management. AI & ML Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment in production environments. RAG Systems Experience: Prior exposure to Retrieval-Augmented Generation (RAG) architectures, with experience building AI-driven search systems. Version Control: Proficiency with Git and understanding of version control workflows. Problem Solving: Strong analytical and debugging skills to address complex technical challenges. Soft Skills: Excellent communication, collaboration, and problem-solving abilities. Good to Have (Preferred Experience) Backend Projects: Demonstrated experience working on backend applications using Python frameworks (FastAPI, Flask, Django) through academic or personal projects. Cloud Knowledge: Basic understanding of cloud platforms and services such as AWS, GCP, or Azure. DevOps & Containers: Exposure to Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience setting up CI/CD pipelines for automated testing and deployment. Open Source Contributions: Contributions to open-source projects or a strong GitHub profile showcasing backend development expertise. Impactful Work: Work on groundbreaking generative AI applications that are transforming the future of technology in India. Collaborative Environment: Join a high-performing team of AI experts and engineers, driving innovation and delivering real-world solutions. Growth Opportunities: Be a key player in a fast-growing AI startup, with the opportunity to grow alongside the company. Cutting-edge Technologies: Leverage the latest in AI, Machine Learning, and Cloud Technologies to build state-of-the-art systems. Qualification : Bachelor's degree in Computer Science, Engineering, or a related technical field.

Software Engineer - Backend (.NET) Location: Bengaluru, Karnataka, India Employment Type: Full-time About ixigo ixigo is a leading technology company empowering Indian travelers by providing smarter travel solutions across various platforms. Established in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo offers services in rail, air, buses, and hotels, helping travelers plan, book, and manage their trips efficiently. Leveraging artificial intelligence, machine learning, and data science, ixigo creates intuitive experiences for its users. In 2021, ConfirmTkt and AbhiBus became part of the ixigo family. Headquartered in Gurugram, with offices in Bangalore (ConfirmTkt) and Hyderabad (AbhiBus), ixigo s platforms allow travelers to book train, flight, bus tickets, hotels, and more. In 2022, ixigo was recognized as one of the Top 10 most downloaded travel apps worldwide by data.ai. Job Description We are seeking a Software Engineer - Backend (.NET) to join our engineering team in Bengaluru. In this role, you will develop and maintain backend services and APIs using .NET Core and .NET Framework. As part of a dynamic team, you will have the opportunity to work on high-traffic, scalable applications and contribute to innovative solutions in the travel technology space. Responsibilities Backend Development: Develop and maintain backend services and APIs using .NET Core / .NET Framework. Write clean, scalable, and efficient code adhering to best practices and coding standards. Database Integration: Design, implement, and maintain SQL-based databases (e.g., SQL Server). Integrate databases with backend services using Entity Framework or other ORM frameworks. Cross-functional Collaboration: Work closely with front-end developers, designers, and product managers to build high-quality, user-centric software. Participate in sprint planning, agile ceremonies, and contribute to continuous improvement initiatives. Code Quality: Conduct code reviews and ensure the quality and maintainability of the codebase. Implement and maintain security and data protection measures for all backend services. Troubleshooting & Optimization: Troubleshoot, debug, and optimize existing systems to enhance performance and reliability. New Features Implementation: Assist in the design and implementation of new features and services. Qualifications Required Skills: Experience: 1-3 years of professional experience in backend development using .NET Core or .NET Framework. Proficiency: Strong knowledge of C# and object-oriented programming principles. Solid understanding of RESTful API design and development. Database Skills: Strong experience with relational databases like SQL Server or MySQL. Experience with Entity Framework or other ORM frameworks. Version Control: Familiarity with version control systems like Git. Web Services Integration: Knowledge of web services and integration methods (e.g., SOAP, REST, JSON, XML). Unit Testing: Good understanding of unit testing frameworks (e.g., xUnit, NUnit). Cloud Knowledge: Basic knowledge of cloud platforms (e.g., Azure is a plus). Problem-solving: Strong problem-solving skills and ability to troubleshoot complex issues. Communication: Good communication skills and ability to work in a collaborative environment. Impactful Work: Help shape the future of the travel industry by building cutting-edge applications. Collaborative Environment: Work with talented professionals in an innovative, agile, and flexible environment. Career Growth: Learn and grow in a rapidly expanding company that values continuous learning. Competitive Compensation: Enjoy a competitive salary and benefits package. Work-Life Balance: A culture that promotes a healthy work-life balance.

Principal Engineer, Google Cloud VMware Engine Google - Bengaluru, Karnataka, India Join Google Cloud in Bengaluru, Karnataka, India and play a pivotal role in the Google Cloud VMware Engine (GCVE) team! Our mission is to empower customers to seamlessly move their VMware-based applications to Google Cloud without altering their existing apps, tools, or processes. As a Principal Engineer, you will spearhead the technical strategy for GCVE, driving the development of highly performant and scalable infrastructure with fully redundant and dedicated networking. You will ensure the availability necessary for demanding enterprise workloads and pioneer innovative solutions to dramatically reduce cloud migration timelines. In this critical role, you will lead the execution and delivery of the overall GCVE Systems Design. This includes influencing compute server design, platform architecture, network fabric, large cluster level Service Level Objectives (SLOs), reliability, observability, and alerting. You will also be instrumental in how these systems integrate with the broader Google Cloud Infrastructure and Services. Collaboration with external partners, particularly VMware, to co-create groundbreaking solutions will be a key aspect of this role. Leveraging your deep understanding of emerging cloud technologies, you will address the unique cloud requirements of VMware workloads. Your technical expertise will be crucial in bringing innovative software solutions to market, understanding enterprise workload requirements, and utilizing open source technologies. Google Cloud is dedicated to accelerating every organization's digital transformation. We provide enterprise-grade solutions leveraging Google s cutting-edge technology and developer-friendly tools. Join us as a trusted partner for customers in over 200 countries and territories, enabling their growth and solving their most critical business challenges. Responsibilities: Develop a forward-thinking technical roadmap for the Google Cloud VMware Engine organization, fostering continuous innovation and the implementation of novel systems solutions. Design, build, and deploy highly scalable solutions leveraging Google compute platforms, robust hardware, advanced networking, and sophisticated software infrastructure to deliver exceptional systems for VMware workloads at scale. Collaborate effectively across engineering teams involved in the build, design, and implementation of hardware and software spanning infrastructure domains such as platforms, server architecture, compute, storage, networking, and data analytics. Influence and establish best engineering practices for managing robust and scalable systems to proactively address exponential market demand. Provide technical leadership for cloud developer technology within Google and manage collaborations with cross-functional Engineering teams to optimize the adoption of Google Cloud Platform capabilities, both internally and for the broader cloud industry. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience. 15 years of experience in hardware and software design, data structures, and algorithms. Preferred Qualifications: Master's degree. Proven experience in delivering successfully within stipulated timelines. Demonstrated experience in successfully building software and large-scale distributed systems. Comprehensive understanding of private and public cloud design considerations and limitations in virtualization, global infrastructure, hypervisor technologies, networking, data storage, and security. Exceptional ability to work cross-functionally, partnering effectively with groups such as Sales, Engineering, Product Management, Product Marketing, UX, and UI, skillfully brokering trade-offs with stakeholders and understanding their diverse needs. Excellent narrative and storytelling skills with a proven ability to drive usage, adoption, and market momentum. Qualification : Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.

About Intugine: Ever wondered how the physical goods we consume every day from your favorite dairy products and snacks to the latest electronics make their way to your doorstep on time and in perfect condition? The journey of these products is complex, spanning from sourcing, manufacturing, and storage, to being transported across an intricate global supply chain. Global brands often face challenges such as lack of visibility over their raw materials, delays in production, and tracking shipments across different transportation modes and geographies. At Intugine Technologies, we provide a best-in-class visibility platform that helps brands gain complete transparency over their supply chains, covering all transport modalities air, land, sea, and rail. Our solutions have helped eliminate operational inefficiencies, reduce logistics costs, and improve key metrics like OTIF (On-Time In-Full), order-to-delivery turnaround time, as well as minimize dwell time and detention costs. Intugine is also a proud partner of India's National Logistics Policy, integrating with systems like FASTag, Port Community System, and Freight Operations Information System to provide even deeper insights. With over 75 global enterprise customers, including GE Healthcare, Flipkart, Titan, Diageo, Ultratech Cement, and Bridgestone, Intugine is at the forefront of transforming global supply chains. About the Role: Associate Manager - Customer Success The Associate Manager - Customer Success will play a vital role in the growth and operations of the business. This individual will take on a high level of responsibility, directly interacting with customers and service providers. As part of their role, they will manage and oversee the successful implementation of Intugine s solutions at mid-market customers, while ensuring optimal service delivery and continuous improvements in customer experience. Responsibilities: Lead the end-to-end implementation of Intugine s solution for mid-market customers, ensuring timely deployment and guiding the team through operational excellence processes. Travel to client locations to understand their needs, train them on Intugine s solutions, and build strong relationships. Collaborate with technical teams to configure and troubleshoot Intugine s software platform as per client specifications. Design, implement, and continuously improve processes, monitoring KPIs to ensure projects meet client requirements. Research and analyze new Intugine products and design processes for their implementation. Set up systems and processes that lead to 100% conformance to client specifications and requirements. Maintain strong communication with clients, managing expectations and addressing any technical issues or concerns. Requirements: 1-2 years of experience in product implementation, preferably in a B2B SaaS environment. Strong organizational skills, with the ability to manage multiple tasks and projects simultaneously. Excellent communication and interpersonal skills, enabling you to deal diplomatically with various stakeholders. Knowledge of supply chain management (SCM) is a plus. A systematic approach to problem-solving, with a keen eye for both big-picture strategy and small daily tasks. Ability to work autonomously and assume responsibility. Strong written and spoken English skills. Creative and innovative mindset to introduce new concepts and drive improvements. Soft skills, including time management, prioritization, and delegation, are essential. Perks at Intugine: Employee Stock Options Take a slice of the pie and grow with us. Comprehensive Health Cover For you and your loved ones. Personal Development Budget Upskill yourself; we ve got the bill. Flexible Working Hours Set your own work hours. Open Door Policy No cubicles, open collaboration. Generous Parental Leave Because work comes second sometimes. Documented Equal Pay Policy Ensuring fairness. Education Assistance Let us help you soar to new heights. Work Autonomy Enjoy complete ownership over your work. Employee Life Skill Training Program Sessions on tax saving, investments, mental well-being, health, and fitness. Company Outings Unwind with your teammates, work can wait. Paid Time Off Your well-being is our priority. If you're ready to make an impact and grow with a company that s shaping the future of supply chain technology, Intugine is the place for you. Join us and be part of our journey!

As a Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical solution engineers and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Spark experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines Strong written and verbal communication skills; very good analytical, organisational, multi-tasking skills About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

As a Senior Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical Solution Engineers (Spark) and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Big Data / Spark hands on-experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About the Role: The Lead Business Systems Analyst plays a critical leadership role in evaluating and optimizing an organization's business processes and systems. They leverage their expertise to identify and implement advanced solutions that improve efficiency and effectiveness. This involves collaborating with stakeholders to gather requirements, analyzing complex data, creating comprehensive documentation, and facilitating communication between business users and IT teams, ensuring alignment with organizational goals. Key Responsibilities: Lead cross-functional teams in an Agile environment to gather and document business requirements for software development projects. Mentor junior and mid-level analysts, providing technical guidance. Analyze business needs and translate them into clear and concise user stories, ensuring alignment with project goals. Facilitate communication between business stakeholders and development teams to establish a shared understanding of project requirements. Analyze existing systems and processes to identify opportunities for improvement and efficiency gains. Partner with Quality Engineers and Software Engineers to review story requirements and validate system functionality. Lead troubleshooting efforts, conduct impact analysis, and recommend solutions. Demonstrate system enhancements to project stakeholders. Create flow diagrams and document technical solutions. Lead Agile ceremonies, including Planning, Grooming, Sprint Reviews, Sprint Retrospectives, and 3 Amigos. Stay current with industry best practices and emerging trends in business analysis and Agile methodologies. Effectively assign tasks and manage project timelines and resources. Remain flexible and adaptable to shifts in project scope, requirements, or technological advancements, guiding the team through transitions. Qualifications: Bachelor's degree in a related field preferred. 7+ years of experience as a Senior Business Systems Analyst or equivalent technology industry background. In-depth knowledge and ability to analyze complex business processes and identify areas for improvement. Extensive experience identifying and solving business problems through innovative and practical solutions. Advanced communication skills to convey technical information clearly to all levels. Proficient in collecting, documenting, and managing system requirements from stakeholders. Detailed understanding of highly complex multi-platform applications and systems. Excellent communication and documentation skills to create comprehensive reports, manuals, workflows, and specifications. Experience with Agile methodologies. Preferred: Financial industry experience. Preferred: Prior production support and troubleshooting experience. Preferred: Experience exceeding expectations in other Agile Development Team roles (Quality Engineer, Software Engineer, Product Owner, or Scrum Master). Qualification : Bachelors degree in a related field preferred

Key Responsibilities: Project Management & Execution: Lead and manage application projects related to Electronic Lab Notebooks (ELN) and data analytics. Prepare and track project plans, allocate work, track progress, and ensure end-to-end project delivery. Status & Performance Reporting: Regularly report project status, quality assurance activities, and performance to the customer. Present status reports and ensure the team is aligned with project goals. Documentation & Process Control: Maintain project documentation, including defect prevention checklists and project metrics. Collate status reports and other key documents for project tracking and stakeholder communication. Design & Architecture Reviews: Participate in design and architecture reviews, providing valuable inputs and suggestions. Identify any issues and drive them to resolution to ensure project continuity. Scope & Specification Management: Strategize and draft scoping documents and specifications to clearly communicate the project roadmap and ensure alignment with customer and stakeholder expectations. Cross-Functional Coordination: Collaborate with different teams within the life sciences group to ensure that project requirements are well-captured and reflected in project plans. Plan budgets and resources accordingly. Data Analytics & Dashboard Development: Develop and manage operational, scientific, and trending dashboards, ensuring data accuracy and actionable insights for the business and scientific teams. Validation & Qualification: Lead computer system validation (CSV) executions and the qualification of servers to ensure compliance with necessary standards and regulations. Key Skills: Electronic Lab Notebook (ELN): Expertise in ELN systems and their implementation, including data management, documentation, and integration into lab processes. Project Management: Proficiency in project management tools and methodologies to ensure smooth project execution, including planning, tracking, and resource allocation. Data Analytics & Dashboarding: Strong skills in creating and managing dashboards that provide operational, scientific, and trending data insights for decision-making. Computer System Validation (CSV): Experience in performing system validation activities, ensuring compliance with regulatory standards and guidelines. Documentation & Reporting: Ability to maintain accurate documentation, such as defect prevention checklists, metrics, and status reports. Skilled in presenting information clearly to stakeholders. Cross-Team Collaboration: Strong ability to coordinate with different teams, capture requirements, and plan resources and budgets for each build order, ensuring smooth execution. Quality Assurance: Ensuring that quality assurance activities are in place throughout the project lifecycle, maintaining high standards of work and compliance. Competencies: Business Acumen: Understanding of the business impact of project outcomes and making decisions that align with business goals and customer needs. Presentation & Communication Skills: Strong verbal and written communication skills, with the ability to present complex project details and data insights to stakeholders. Interpersonal Skills: Ability to build strong working relationships with cross-functional teams and stakeholders, ensuring effective collaboration and issue resolution. Team Management: Experience managing project teams, guiding them through day-to-day activities, and providing product perspective and solutions. Negotiation Skills: Ability to negotiate timelines, budgets, and resources with stakeholders and vendors to achieve the best outcomes for the project. Stakeholder Management: Skilled in managing expectations and requirements of internal and external stakeholders, ensuring alignment and satisfaction. Qualification : Bachelors / Masters (Electronic and Instrumentation / Computer Science / IT /Chemistry) with 8 - 10 years of experience.

We are seeking a highly skilled and motivated Python and AWS Automation Engineer to join our dynamic team. In this role you will be responsible to automate infrastructure , deployment, and operational tasks using Python/C# and AWS services. Will play a critical part in developing and optimizing our cloud based analytics, streamlining workflows, and enhancing validation efficiency. As a key member of the automation team, expected to work closely with DevOps, engineering, and validation teams to implement scalable and reliable automation solutions for various WiFi features and validation processes. You will also be instrumental in integrating AWS services, creating efficient scripts, and ensuring seamless automation of cloud-based resources and services. Qualifications Key Responsibilities:* Design, develop, and maintain Python/C#-based automation scripts to process data to develop meaningful analytics for validation using AWS resources. * Leverage AWS services (such as Kubernetes) to automate processing for data analytics* Develop automation scripts and libraries for WiFi features* Collaborate with DevOps engineers to integrate automation processes into CI/CD pipelines (e.g., Jenkins)* Monitor and troubleshoot automation workflows to ensure they are running smoothly and efficiently.* Follow guidelines on best practices for cloud automation, scalability, security, and cost optimization in AWS.* Participate in the design and implementation of logging, monitoring, and alerting systems using AWS CloudWatch and other monitoring tools.* Develop and maintain detailed documentation for automation scripts, processes, and AWS configurations.* Ensure adherence to security best practices and compliance standards for cloud-based applications and infrastructure.Required Skills and Qualifications:* Proven hands on experience in Python and C# programming, with a focus on automation and cloud services.* Hands-on experience with AWS services, including Kubernetes* Strong understanding of cloud infrastructure and best practices for automating, scaling, and monitoring.* Experience in integrating automation with CI/CD pipelines and using tools like Jenkins* Knowledge of containerization and orchestration technologies such as Docker, Kubernetes, and ECS.* Hands on experience with automation using rest APIs and UI automation* Familiarity with version control systems (e.g., Git) and Gerrit* Strong problem-solving and troubleshooting skills.* Ability to work independently and collaborate effectively within a cross-functional team.* Excellent written and verbal communication skills.Domain Knowledge1. Hands on Experience in configuring/handling automation setups with different topologies2. WiFi Experience - Usage / Configuring of WiFi sniffer / Attenuator / Access Point will be helpful3. Fair understanding about test engineering skills, Validation Methodologies, Debugging techniquesSoft skills:1. Ability to work independently and collaborate effectively within a cross-functional team.2. Good written and verbal communication skills.3. Quick learning of new technologies4. Stakeholder management Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth. Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel

Introduction: The IBM CIO Technology Platform Transformation team plays a crucial role in modernizing IBM's technology infrastructure and platforms. By leveraging emerging technologies such as AI, machine learning, and cloud computing, the team aims to enhance security, streamline processes, and improve user experience. The team's mission is to optimize IT functions, reduce technical debt, and drive automation while fostering a culture of innovation and continuous improvement. In this role, you will be joining the CIO Hybrid Cloud Z Platform & Strategy Team, where you will maintain, support, and enhance multiple aspects of the Z environment, including z/OS storage management, performance, and networking tools. You will play a key role in automation, identifying improvements, and collaborating with various teams to improve operational efficiency. Responsibilities: Technical Support & Problem Resolution: Provide problem determination and source identification to resolve technical issues within the Z environment. Automation & Optimization: Recommend and implement optimization strategies and automation processes for technical support tools, procedures, and systems. Collaboration: Work closely with global teams to diagnose, prioritize, and resolve issues, providing guidance and fostering collaboration across various teams. Mentorship & Training: Offer technical training and mentorship to other members of the team, sharing knowledge and best practices. System Design & Implementation: Lead system design discussions for z/OS systems, plan and implement new solutions, and ensure they align with business goals and objectives. Continuous Improvement: Identify points of improvement in technical processes and propose innovative solutions through automation to enhance operational efficiency. Required Education & Experience: Bachelor's Degree in a relevant field (required). Master's Degree (preferred). Technical Expertise: Deep Knowledge of z/OS & z/OS Storage Support: Proficient in managing z/OS and storage in a mainframe environment, including installation, configuration, high availability, performance tuning, and security. Cloud Infrastructure & Network Knowledge: Experience in cloud infrastructure and network technologies, particularly in the context of z/OS environments. Problem Solving & Autonomy: Strong problem-solving skills, with the ability to work autonomously, meet goals, and apply innovative thinking to solve complex problems. Global Team Collaboration: Experience working with global teams across different locations, contributing to a collaborative and solution-driven environment. System Design & Leadership: Proven ability to lead system design discussions and plan and implement z/OS system configurations and changes. Fluent in English: Strong written and verbal communication skills in English. Preferred Technical Experience: REXX Programming: Experience with REXX programming for automation and scripting in a z/OS environment. Ansible on Mainframe: Familiarity with Ansible for automation on Mainframe systems. Zowe, ZOAU, R3S Knowledge: Knowledge of Zowe, ZOAU, and R3S for modernizing mainframe environments. Middleware & Systems Management Experience: Experience with z/OS middleware systems such as DB2, IMS, Base/Storage/TWS/Network/Netview. Automation & Testing: Experience in automating workloads, performing test automation, and optimizing operational workflows. Basic Container Technology Knowledge: Familiarity with container technologies and tools such as Docker, Kubernetes, and Red Hat OpenShift. About the Business Unit: The IBM Finance Organization is responsible for driving enterprise performance and transformation. As the financial stewards of IBM, we deliver IBM's financial strategy, develop new business models, and mitigate enterprise risk. The group is focused on creating value and improving the financial aspects of IBM s business across a variety of sectors, including accounting, financial planning, business controls, tax, treasury, and business development. Why Join IBM? Innovative Environment: Work on cutting-edge technologies and collaborate with experts in the field. Global Impact: Contribute to the transformation of IBM's hybrid cloud platform and technology infrastructure. Career Development: Gain exposure to advanced systems and automation techniques while working with global teams. Competitive Compensation & Benefits: Enjoy competitive pay, performance-based rewards, and a range of employee benefits. If you're passionate about technology, innovation, and driving automation in a hybrid cloud environment, join the IBM CIO Hybrid Cloud Z Platform & Strategy Team today!

Job Description Concentrix is a technology-enabled global business services company specializing in customer engagement and improving business performance. We partner with ambitious, progressive executives around the world to future-proof their business and stay ahead of the competition and customer expectations. Role and Key Responsibilities : Manage a team of at least 100-150 executives supporting Voice operations Flexible and willing to work in a 24/7 shift environment. Responsible for managing the operations seamlessly and timely SLA delivery along with maintaining high levels of employee and customer satisfaction Establish & Manage Relationships / Engagement with the Clients Oversee team organize resources, set goals, carry out strategy from Executives and client on a day-to-day basis; reporting responsibilities Analyze and maintain all Client Service Level Agreements; implement improvement plans as needed Maximize revenue generation to reach long and short-term financial projects (i.e. data collection for billable/non-billable hours, forecasting, budgeting, etc.) Selecting, training, developing, and managing performance of direct reports and their associates; including planning and assigning work for staff in accordance with the organization s policies and applicable legal requirements Manage and review operational reports (Attendance adherence, Client scorecard, Metrics management reports) Provide leadership and guidance to direct reports to ensure consistent administration of company policies and standards; define and implement any corrective actions needed to meet operational performance targets Conduct regular one-on-ones with direct reports to review individual performance, the performance of their team and offer on-going developmental coaching Create a positive work environment through employee engagement; resolve employee relation issues in a professional and timely manner Participate in cross functional meetings to review information received from operational support functions - Training, HR, Quality, WFM, TA.- and partner to define action plans that resolve issues and drive continuous improvement Implement best practices and over-deliver for clients, drive consistent performance, evaluate staffing needs, with input from WFM & Client and make adjustments to meet changing requirements Attend business reviews with the clients. Manage & control attrition keeping it to the minimum and plan for timely back fills Establish and maintain a working environment conducive to positive morale, individual style, quality, creativity and teamwork. Provide advice and assistance to senior management in planning, implementation, and evaluation of existing operations. systems and procedures Participate in weekly and monthly calls with clients to understand the expectations from the teams and provide updates Ensure that all audit related issues are brought to a close Identify and drive continuous improvements and initiatives in the process Coach & mentor Team leads, enabling them to lead their teams effectively Hire leads and managers, train, conduct inductions, manage employee & client satisfaction scores, performance Appraisals and attrition management Ensure that all internal customer queries are followed up on a timely basis Collaborate with internal teams, inter departments, cross functions across locations Ability to lead, guide, and mentor a team effectively, even in a fast-paced BPO environment. Ability to manage conflicts, motivate team members, and foster a collaborative work culture. Leadership skills to drive performance, handle challenging situations, and ensure alignment with client expectations Key skills and knowledge : Strong understanding of banking products (e.g., loans, credit cards, accounts), services, and financial transactions Strong knowledge of Credit card and other Banking products Excellent verbal and written communication skills for interacting with clients, teams, and internal stakeholders Experience in handling voice operations (inbound and outbound) Client facing roles managing and representing operations Knowledge of the patient lifecycle journey of in US Healthcare & India - related regulatory requirements Experience in client facing roles managing and representing operations Experience in handling multiple teams and has shown improvement in the overall team performance Ability to coach and guide frontline, SMEs, support functions staff & the TL on a clear objective of delivering excellent customer experience A creative mind to think beyond the status quo and propose solutions internally as well as to clients Experience in working closely with Training and Quality team to strengthen and develop SOPs and training materials Quartile & People management skills Strong focus on delivering exceptional customer service and client satisfaction. Ability to understand customer needs and work with internal teams to ensure service excellence Educational Qualification : Graduation

Job Summary: Halliburton is looking for a Technical Software Developer who will leverage competencies in the technical software development process to analyze and define system scope and objectives. This role is responsible for developing, testing, troubleshooting, and documenting engineering system applications, while working on projects of moderate scope and complexity. The developer will be involved in the design and coding of systems and assist in automated regression testing and technology implementation. Key Responsibilities: System Analysis & Design: Perform analysis to define the system scope and objectives for developing or modifying existing engineering applications. Participate in choosing and implementing technologies used in designing, coding, testing, troubleshooting, and documenting engineering systems applications. Application Development: Contribute to the development of assignments and schedules for projects with moderate scope and complexity. Assist in the development of test strategies for automated regression testing of applications. Collaboration & Guidance: Work under general supervision, with instruction and guidance during certain phases of application systems analysis and development. Provide feedback and contribute to improving software solutions in collaboration with senior team members. Impact & Efficiency: Ensure tasks are correctly performed to maintain cost containment, efficiency, and profitability. Be mindful of the impact of errors, ensuring that they can be easily measured and confined. Qualifications: Education: Undergraduate degree in Computer Science or a related discipline. Experience: 2 years of related experience or 6 years of related software development experience. Skills & Competencies: Strong understanding of software development processes, including analysis, coding, and testing. Ability to work independently on projects with moderate scope and complexity, while receiving some guidance as needed. Why Halliburton? Career Growth: Halliburton values employee development, offering opportunities to innovate and grow within the company. Work in the Energy Sector: Join a global leader providing products and services to the energy industry, offering challenging, rewarding, and growth-oriented experiences. Equal Opportunity Employer: Halliburton is an Equal Opportunity Employer, ensuring that all employment decisions are made without discrimination based on race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other protected status. Qualification : Undergraduate degree in Computer Science or a related discipline.

Technical Requirements: 1. LTE/3GPP Domain Expertise: Strong understanding of LTE (Long-Term Evolution) and 3GPP (3rd Generation Partnership Project) standards and technologies. Familiarity with cellular communication systems, particularly in the context of LTE and 5G technologies, and their physical layer operations. 2. Proficiency in C Programming: Extensive hands-on experience with C programming for system-level and embedded software development. Ability to write efficient, optimized code for baseband processing and modem development. 3. MATLAB/Simulink and LabVIEW Experience: Practical experience with MATLAB for modeling and simulating wireless communication systems. Proficiency in LabVIEW or similar tools for hardware testing, signal analysis, and system prototyping. 4. Physical Layer and Baseband Processing: Experience in physical layer operations such as modulation, demodulation, channel coding, and decoding. Expertise in baseband processing techniques used for signal manipulation, filtering, and error correction. 5. Forward Error Correction (FEC): In-depth understanding of Forward Error Correction (FEC) techniques like Turbo codes, LDPC (Low-Density Parity-Check) codes, and their implementation in wireless communication systems. Ability to integrate FEC algorithms to improve system performance and error resilience. 6. Experience with Wireless Communication Algorithms: Familiarity with key algorithms used in wireless communication such as: OFDM (Orthogonal Frequency Division Multiplexing) Channel coding Rate conversion Equalization Mapping Channel estimation Synchronization CFO (Carrier Frequency Offset) correction SCO (Symbol Clock Offset) correction 7. Wireless L1 Experience (LTE UE Modem/ENodeB): Hands-on experience with Wireless L1 (Layer 1) protocol stack in LTE UE Modem, ENodeB, or simulators. Exposure to the development, simulation, and testing of LTE UE Modem or ENodeB functionality. Experience in simulating and analyzing physical layer parameters in both UE and ENodeB environments. Expectations from the Role: 1. Learning and Application of Concepts: Ability and willingness to quickly learn new concepts and technologies related to wireless communications and apply them effectively in project work. Inclination towards continuous learning and staying updated with industry trends. 2. Independent Work and Accountability: Ability to work independently, take initiative, and demonstrate accountability for tasks and deadlines. Take ownership of assigned work and ensure delivery within agreed timelines with high quality. 3. Team Collaboration and Contribution: Strong team player with a collaborative approach to work within teams and contribute towards collective goals. Communicate effectively with team members to ensure smooth progress of project work. 4. Experience with SDLC and Agile Development: Understanding of the Software Development Life Cycle (SDLC), particularly the processes involved in the development, testing, and deployment of wireless communication systems. Familiarity with Agile Development methodologies and their application in wireless communications projects. 5. Technical Guidance and Mentorship: Ability to mentor and guide junior team members on technical aspects of the project, ensuring smooth knowledge transfer. Provide technical guidance on complex problems and help improve the team's overall technical expertise. 6. Development, Debugging, and Testing Tools: Proficiency with development, debugging, testing, and build tools typically used in wireless communications and embedded systems. Experience in writing test cases, performing unit testing, and using simulation tools for system validation. Ideal Candidate Profile: The ideal candidate will have solid expertise in wireless communication technologies, particularly in the LTE/3GPP domain, with hands-on experience in C programming, MATLAB, and LabVIEW. They should have a strong background in physical layer processing, including OFDM, forward error correction, and wireless protocol stack development. Experience in wireless L1 development for LTE UE Modem or ENodeB is a significant advantage. A passion for continuous learning, the ability to work independently while being an effective team player, and experience with SDLC and Agile development will be key to thriving in this role. Additionally, the candidate should be capable of mentoring team members and providing technical leadership.