Staff Software Engineer With Node JS Expertise Jobs in Bengaluru

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.

Staff Engineer, Solutions Automation (NMS/SMx) Location: Bangalore Type: Full-Time Experience Required: 12+ Years (QA Lead/Architect Level) The Opportunity: Strategic Quality Architect We are seeking a Staff Engineer to act as the technical architect for Solution Test Automation of our Network Management System (SMx). This senior individual contributor role requires a rare blend of deep L2/L3 networking expertise and proficiency in modern AI-driven automation. You will drive the vision for product quality, mentor a growing team, and solve the complex challenges of testing fiber-optic and telecom infrastructures. Technical Expertise & Domain Depth Networking & Fiber Optics: L2/L3 Protocols: Strong mastery of OSPF, BGP, ISIS, VLAN, and VRF. Network Protocols: Expert knowledge of Ethernet, TCP/IP, and SNMP. Optical Technology: Familiarity with GPON and XGSPON technologies and telecom network devices. Automation Stack: Framework Architecture: Advanced proficiency in Robot Framework, PYART, and Playwright. Programming: Expert Python skills for developing maintainable scripts and custom libraries. Modern Tooling: Experience implementing AI-based GUI testing and visual validation tools. CI/CD & DevOps: Integration of automated suites into Jenkins/GitLab CI using Docker/Kubernetes. Key Responsibilities Engineering Leadership & Mentorship: Team Guidance: Mentor junior automation engineers, conduct rigorous code reviews, and foster a high-performance culture. Project Ownership: Drive the end-to-end automation lifecycle from test strategy and environment planning to advanced results analytics. Cross-functional Alignment: Partner with Product Management and Dev teams to triage issues and align quality goals with release schedules. Innovation & Domain Application: Scenario Design: Leverage domain expertise to simulate realistic network topologies and complex customer use cases. Process Optimization: Champion the transition from manual efforts to high-efficiency automation by refining methodologies and frameworks. Troubleshooting: Resolve complex issues related to Optical Communication and Network Management Systems. What You Bring Proven Track Record: 12+ years in QA/Automation with significant experience in NMS/EMS or complex enterprise applications. Educational Background: Bachelor s or Master s in Computer Science, Telecommunications, or a related field. Certifications (Preferred): CCNA, CCNP, or ISTQB Advanced Test Manager. Soft Skills: Exceptional ability to simplify complex technical networking concepts for diverse stakeholders. Qualification : Bachelors or Masters in Computer Science, Telecommunications, or a related field

Staff Software Engineer AI & Automation Location: Bengaluru Company: Okta, The World s Identity Company Experience: 8+ Years Type: Full-Time About Okta Okta is the world s leading identity platform. We empower people to securely access any technology, anywhere, on any device. With products like the Okta Platform and Auth0, we place identity at the core of business security, enabling growth through safe digital transformation. At Okta, we value diverse perspectives and experiences. We believe in learning, collaboration, and building an inclusive environment where everyone belongs. About the Team The Business Technology - Shared Services team is at the forefront of Okta s internal digital transformation. We focus on building intelligent, automated platforms that simplify operations and deliver smarter, faster experiences to both employees and customers. We collaborate across engineering, data science, security, and business units to deliver cutting-edge solutions powered by Generative AI (GenAI), virtual agents, workflow orchestration, and intelligent recommendations. The Opportunity As a Staff Software Engineer, you ll play a critical role in designing and developing AI-powered platforms that drive automation, scale, and intelligence across Okta s business. You ll help make LLM-powered solutions and intelligent automation a reality for the enterprise ensuring performance, security, and reliability at scale. This is a hands-on, individual contributor (IC) role, ideal for engineers who are passionate about solving complex problems, architecting scalable systems, and pushing the boundaries of AI integration. What You ll Do Design & Build: Develop scalable backend services that embed GenAI and automation into core business workflows (e.g., virtual agents, document intelligence, smart routing). Collaborate Across Teams: Work closely with product managers, data scientists, and other engineers from ideation to production. Architect for Scale: Make key architectural decisions around LLM integration, API design, data flow, and observability. Code with Excellence: Write clean, secure, and maintainable code in Python, Java, or similar languages. Build for Production: Use Docker, Kubernetes, and CI/CD pipelines to build and deploy high-availability services. Champion Best Practices: Promote high standards for testing, security, code reviews, and operational readiness. Mentor & Guide: Support a collaborative team culture through peer mentorship and design reviews. What You ll Bring 8+ years of experience in software engineering with a strong track record of building and maintaining production-grade, cloud-native services. Expertise in distributed systems, API development, and cloud infrastructure (AWS, GCP, or Azure). Proficiency in Python, Java, or Go. Experience with Docker, Kubernetes, and observability tools (e.g., Prometheus, Grafana, ELK). Exposure to AI/ML concepts and eagerness to work with LLMs, NLP, or automation platforms. A strong sense of ownership, collaborative mindset, and a bias toward action. Passion for learning and working with emerging technologies especially in the AI and automation space. Why Join Okta Make AI Real: Help move GenAI from experimentation to enterprise-wide impact. Build with Purpose: Work on challenges that simplify and secure Okta s internal operations. Grow in a Human-Centered Culture: Join a humble, technically driven team that values learning, excellence, and personal growth. Join Okta and shape how identity, AI, and automation come together to power the modern enterprise.

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.

Staff Software Engineer - Networking Location: Bengaluru, India Company: Databricks About Databricks Databricks powers the world s best data and AI infrastructure platform, enabling data teams to tackle critical problems from transportation innovation to medical breakthroughs. Our platform unifies data, analytics, and AI for over 10,000 organizations worldwide, including more than half of the Fortune 500. Founded by the creators of Apache Spark , Delta Lake, and MLflow, Databricks is headquartered in San Francisco with global offices. Role Overview As a founding member of our new Networking Infrastructure team in Bengaluru, you will design and develop backend connectivity services that power millions of VMs running on Databricks. This platform connects our control plane to the compute plane, enhancing scalability and optimizing cloud resource usage. You ll collaborate closely with product management, operations, and engineering teams to deliver robust, scalable, and efficient networking solutions. This is an exciting hands-on leadership role for an experienced engineer passionate about multi-cloud and distributed systems challenges. What You ll Do Lead design and development of new networking services powering connectivity between control and compute planes. Build scalable backend connectivity systems supporting millions of virtual machines. Collaborate cross-functionally with product, operations, and engineering teams. Solve complex multi-cloud and distributed systems problems in a fast-paced environment. Contribute to setting up and growing the Bengaluru networking team from scratch. What We Look For 12+ years of production software engineering experience in Python, Java, Scala, C++, or similar. 7+ years building large-scale distributed systems from the ground up. Extensive experience in networking domain and SaaS platforms or Service-Oriented Architectures. Strong leadership and hands-on engineering skills. Passion for solving novel challenges in multi-cloud networking and distributed systems. Benefits Comprehensive benefits package tailored to employee needs. Inclusive and diverse workplace committed to equal opportunity for all. Diversity & Inclusion Databricks is dedicated to fostering a diverse and inclusive culture where all employees can thrive. We uphold equal employment opportunities without regard to age, race, gender, ethnicity, disability, religion, sexual orientation, veteran status, or any other protected characteristic.

Staff Software Engineer, Machine Learning (Search) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team as a Staff Engineer to lead advancements in Search Quality. This role focuses on improving search ranking, query understanding, and building scalable evaluation frameworks to enhance discovery across millions of data assets on the platform. Key Responsibilities Lead development and deployment of ML/NLP-based search relevance models integrated with Databricks products. Design and build automated ML pipelines for data preprocessing, query understanding/rewrite, ranking, retrieval, and evaluation. Collaborate with product managers and cross-functional teams to drive strategic search product innovations. Develop robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 10+ years experience building search relevance systems at scale in production or research environments. Experience applying Large Language Models (LLMs) to search relevance problems. Expertise in query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects is a plus. Work at the forefront of AI-driven data products, collaborate with top AI/ML experts, and influence how thousands of organizations discover and interact with data. Databricks offers a cutting-edge platform and a collaborative, innovative culture. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Senior Software Engineer .NET Core | Cloud | Microservices | Bangalore Location: Bangalore, India Department: Software Engineering Reports To: Sr. Manager, Software Engineering Experience: 5+ Years Tech Stack: .NET Core 6, C#, JavaScript, Angular/React, AWS/Azure, Kubernetes, ElasticSearch, NoSQL Join a Career That s the Whole Package Be Part of Conga! At Conga, we thrive on building a community where innovation, career growth, and team collaboration are part of everyday life. We simplify complexity for organizations through our leading Revenue Lifecycle Management platform, helping businesses streamline configuration, fulfillment, and renewal with AI-driven insights and a unified data model. With a culture rooted in the Conga Way, our values guide everything from our hiring and team dynamics to product innovation. We re passionate about empowering our employees and customers alike to achieve transformational growth. About the Role Sr. Software Engineer We are seeking a Senior Software Engineer to join our Platform Services team. This role is key to building cloud-agnostic, scalable platforms that power the Conga product suite. You ll collaborate with cross-functional teams and senior stakeholders, design high-performance backend systems, and be involved in all phases of the Agile development lifecycle. You ll lead by example writing clean, scalable code, mentoring junior engineers, and solving complex technical challenges in a fast-paced SaaS environment. This isn t just a coding job it s a career-defining opportunity to work on enterprise-scale microservices architecture, cutting-edge cloud platforms, and complex product development. You ll influence technical direction, drive quality engineering practices, and ensure our solutions scale globally. Key Responsibilities: Backend Development: Build and maintain scalable services using .NET Core 6 and C#, adhering to clean code principles and engineering best practices. Frontend Collaboration: Work with AngularJS or React, along with JavaScript, HTML5, and CSS, to support full-stack development. Cloud Platforms: Design and implement solutions on AWS or Azure, using modern cloud architecture and design patterns. Microservices Architecture: Develop cloud-agnostic microservices, using containers and Kubernetes, optimized for performance and reliability. Agile Participation: Participate in Agile ceremonies (planning, backlog grooming, reviews) and contribute to end-to-end project delivery. Problem Solving: Act as a technical SME for issue resolution, architecture discussions, and performance optimization. Collaboration: Work with global teams across time zones, contributing to a highly agile and transparent development culture. Mentorship: Support junior developers, conduct code reviews, and foster a culture of technical excellence. Qualifications & Experience: 5+ years of software development experience, primarily using .NET Core, C#, and JavaScript frameworks. Hands-on experience with React or AngularJS for front-end development. Experience working with AWS or Azure, ElasticSearch, and NoSQL databases. Proficiency in building and deploying containerized applications using Kubernetes. Strong understanding of cloud-native architecture, CI/CD, and scalable microservices. Bachelor s degree in Computer Science, Engineering, or a related field. What Sets You Apart: Strong Communication: Ability to explain technical concepts clearly and collaborate across globally distributed teams. Leadership Potential: Takes ownership and accountability for deliverables and team contributions. Problem Solver: Passionate about diagnosing issues across stacks and finding elegant solutions. Global Mindset: Comfortable working outside traditional hours when needed to coordinate with international teams. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Job Title: Cloud-Based AI Developer - Advanced Analytics Group (AAG) Company: Bain & Company Job Type: Full-Time Employment Type: Permanent What Makes Us a Great Place to Work: We are proud to be consistently recognized as one of the world s best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With: As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. What You ll Do: As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors. Cloud-Based AI Development: Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions. Cross-Functional Collaboration: Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements. Cloud and Containerization: Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance. API & Microservices Development: Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation. Security and Compliance: Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations. Troubleshooting and Performance Monitoring: Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience. Code Reviews and Best Practices: Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code. Emerging Trends and Technologies: Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities. Collaboration with DevOps: Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow. Client Collaboration: Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors. Education and Influence: Influence and educate clients on analytics application engineering capabilities, supporting their teams directly. Travel: Expect occasional travel (30%) for project work. About You: Required Qualifications: Education: Master s degree in Computer Science, Engineering, or a related technical field. Experience: 3+ years of experience at Senior or Staff level, or equivalent. Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS. Experience with server-side technologies such as Django, Flask, and Fast API. Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have). 3+ years of expertise in Python. Experience using Git for version control and collaboration. Familiarity with DevOps, CI/CD, and tools like GitHub Actions. Demonstrated interest in LLMs, prompt engineering, and Langchain. Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar. Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes. Skills and Knowledge: Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines. Curiosity, proactivity, and critical thinking. Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture. Expertise in designing API interfaces and knowledge of data architecture and database schema design. Familiarity with agile development methodologies. Join Bain & Company: Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI. Qualification : Masters degree in Computer Science, Engineering, or a related technical field.

Job Title: Staff Software Engineer QuickBooks Online Product Development Company: Intuit Job Type: Full-Time Employment Type: Permanent Company Overview: Intuit is a global leader in financial technology, with a mission to power prosperity for individuals and communities worldwide. With millions of customers globally using products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we aim to provide everyone with the tools they need to prosper. Innovation and customer success are at the heart of everything we do. Job Overview: Join the QuickBooks Online Product Development team within the Small Business and Self Employed Group (SBG) as a Staff Software Engineer. QuickBooks, Intuit s flagship accounting software, powers millions of small business owners and accountants globally. As part of the SBG, you ll be developing features for QuickBooks that include Core Accounting, Payments, Payroll, Point of Sale (POS), and more, to provide an exceptional experience to small business owners, accountants, and entrepreneurs. You ll work with cutting-edge technologies and drive innovation to create top-tier software for users. Responsibilities: Gather Functional Requirements & Planning: Collaborate with cross-functional teams to gather business requirements, develop technical specifications, and plan for testing and project execution. Design & Development: Design and develop web, mobile, and software applications, including prototypes and proofs of concept (POC), with a focus on innovation and user experience. Technical Leadership: Take on a leadership role by mentoring junior engineers, new team members, and offering technical guidance on challenging programming and design problems. Hands-On Coding: Write and maintain high-quality, reusable, and self-serve code, while contributing actively to the coding and problem-solving processes. Defect Resolution & Maintenance: Resolve defects or bugs during QA testing, pre-production, production, and post-release, ensuring high-quality software delivery. Cross-Functional Collaboration: Work closely with various Intuit teams such as product management, QA/QE, and other business units to ensure smooth execution and timely delivery of projects. Design & Architecture Contribution: Contribute to the design and architecture of projects, making decisions that align with best practices and customer needs. Agile Development: Work within Agile development frameworks (SCRUM, Extreme Programming), ensuring effective collaboration and continuous delivery. End-to-End Feature Ownership: Own the complete quality, design, maintenance, and support for the features you develop, ensuring a seamless user experience. Qualifications: Experience: 8+ years of experience developing web, software, or mobile applications. Strong foundation in Java/J2EE technologies, design patterns, data structures, algorithms, and troubleshooting. Technical Skills: Proficiency in Java and J2EE technologies. Experience with the Software Development Life Cycle (SDLC), including coding, testing, and release management. Familiarity with RESTful and SOAP web services, both consuming and creating them. Education: BS/MS in Computer Science or equivalent work experience. Coding & Design Expertise: Ability to design and architect complex systems. Demonstrated ability to write clean, reusable, and well-structured code with the ability to troubleshoot and optimize systems. Test-Driven Development: Experience with unit testing and Test Driven Development (TDD) practices. Communication Skills: Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences. Operational Excellence: A commitment to operational excellence, ensuring high performance, scalability, and reliability in all software developed. What We Offer: Innovation & Impact: Work on a product that powers millions of small businesses, shaping the future of accounting and finance for entrepreneurs. Career Growth: Opportunities for personal and professional development in an innovative and collaborative environment. Global Reach: Be part of a global team that delivers financial tools to customers across multiple countries. Inclusive Culture: At Intuit, diversity and inclusion are part of our core values, and we foster a collaborative and supportive environment. Qualification : BS/MS in computer science or equivalent work experience.

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

Company Overview Intuit is a global leader in financial technology, powering prosperity for individuals and communities through innovative products like TurboTax, Credit Karma, QuickBooks, and Mailchimp. Serving over 100 million customers worldwide, we believe in providing everyone with the opportunity to thrive. Our goal is to continuously develop groundbreaking solutions to make financial success achievable for all. Job Overview Key Responsibilities Platform Development: Architect and develop web, mobile apps, prototypes, or proofs of concepts for the VEP platform that enable effective conversations between users and experts. Leadership: Lead a small team, guiding them to solve challenging design and programming problems. Serve as the technical subject matter expert and mentor fellow engineers. Coding and Design: Spend 40-60% of your time hands-on coding while also generating technical documentation, communicating design options to stakeholders, and conducting presentations to educate teams and business users. Collaborative Development: Work cross-functionally with product management, QA/QE, and business units to ensure timely results and effective implementation of features. Troubleshooting: Resolve defects and bugs during various stages, including QA testing, pre-production, production, and post-release patches. Agile Practices: Contribute to an Agile environment, helping to iterate and improve our products while maintaining a focus on quality and efficiency. Qualifications 8+ Years of Experience: Experience designing and developing software for web and mobile applications. Leadership Expertise: Strong experience leading teams, presenting, and providing cross-functional leadership to drive technical success. Technical Skills: Proficiency in Object-Oriented Programming (OOD) languages such as Java/J2EE, C#, VB.NET, Python, or C++. You should also be comfortable with the Software Development Life Cycle (SDLC). Web Services Experience: 3+ years of experience with web services (REST/SOAP). Testing Skills: Expertise in unit testing and Test Driven Development (TDD) practices. Strong Communication: Excellent ability to explain complex technical issues to both technical and non-technical stakeholders. Strategic Thinking: Ability to develop strategic plans and align with business objectives while building strong, effective teams. Education: BS/MS in Computer Science or a related field, or equivalent work experience. At Intuit, you'll work on cutting-edge technology and be part of a forward-thinking team, shaping the future of financial technology. If you re looking for an opportunity to lead innovative projects, develop transformative products, and work in a dynamic, collaborative environment, we invite you to apply! Join us at Intuit to make a real difference in the lives of millions! Qualification : BS/MS in computer science or equivalent work experience

Intuit is a global leader in financial technology, dedicated to helping individuals and businesses thrive. Our suite of products, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, serves approximately 100 million customers worldwide. At Intuit, we believe in providing everyone with the tools and resources they need to achieve financial success. We are constantly innovating to make financial empowerment a reality for all. Job Overview Join the Intuit Data Platform (IDP) team as a Staff Engineer and help us transform the way we handle big data! The IDP team is responsible for the Intuit Analytics Platform, which powers real-time data ingestion, cataloging, analytics, and machine learning across the entire organization. As Intuit s customer base grows, so does the volume of data we process. Our engineering excellence ensures that we can scale and leverage this data to drive machine learning and product innovations. We re in the process of building the next-generation real-time and batch ingestion engine, capable of indexing, cataloging, and organizing data and metadata. We are passionate about using open-source technologies to solve challenges and contributing back to the community. If you're excited about building a platform that will directly impact data scientists and analysts and have a desire to shape the future of data at Intuit, then come join us! Key Responsibilities Architect & Design: Build fault-tolerant and scalable big-data platforms using open-source technologies to handle massive datasets. Data Solutions: Create architecture solutions that address complex use cases like data normalization, lineage, governance, ontology, and discoverability. Cross-Team Collaboration: Work with analysts and data scientists to understand data requirements for building operational propensity models and gaining deep customer insights. Hands-On Coding: Lead development efforts within the Hadoop ecosystem using technologies such as Java MapReduce, Spark, Scala, HBase, and Hive to build and optimize data pipelines for both real-time and batch applications. Database Management: Work with NoSQL, SQL, and in-memory databases to design high-performance data systems. Code Reviews: Ensure code quality, consistency, and adherence to best practices through regular code reviews. Architectural Alignment: Ensure alignment between enterprise architecture and business requirements. Prove Feasibility: Conduct proof-of-concept (POC) experiments for new technologies or approaches and drive them to production. Collaboration with Data Cataloging Team: Work closely with data catalog teams and architects to index and catalog all data sources at Intuit. Agile Leadership: Lead fast-paced development teams using agile methodologies and promote best practices in software development, testing, and incident response. Design & Model: Build dimension models suited for customer business use cases and ensure seamless integration of business and technical requirements. Qualifications Experience: 12+ years of relevant experience, with at least 5+ years specializing in the big data domain. Big Data Architecture: Proven experience in architecting end-to-end ecosystems for big data and analytics platforms. Expert Knowledge: Deep expertise in building fault-tolerant, scalable big data solutions, especially using the Hadoop ecosystem (Hive, HBase, Spark, Kafka, MapReduce, etc.). Programming Expertise: Mastery of Java and Scala, with a focus on building high-throughput data services. Machine Learning: Knowledge of machine learning principles and AI applications in big data. Big-Data Technologies: Familiarity with tools such as HDFS, Storm, Zookeeper, Cassandra, Redshift, GraphDB, and others. Understanding both real-time and batch processing in the Hadoop ecosystem. Communication: Strong communication skills, with an ability to explain complex technical topics to both technical and non-technical audiences. Programming Skills: Intermediate experience in Python or R for data processing. Education: BE/BTech/MS in Computer Science or a related field (or equivalent experience). Collaboration: Demonstrated ability to work cross-functionally and lead change through influence and example. At Intuit, you ll be part of a talented, passionate team working on innovative solutions that shape the future of data analytics and machine learning. As a Staff Engineer, you ll have the chance to work with cutting-edge technologies, build scalable systems, and help revolutionize how Intuit leverages data to drive product innovation. If you're looking for a dynamic environment where you can have a meaningful impact, come join us at Intuit! Qualification : BE/BTech/MS in Computer Science (or equivalent)

MTS Dev Extension Engineer Description Hungry, Humble, Honest, with Heart. The Opportunity Nutanix is creating revolutionary technology, building the software-defined data center and helping customers move to a Hybrid-Cloud model. We're using our love of programming and outstanding backgrounds to change the way companies virtualize their data centers. At Nutanix, you'll find no shortage of challenging problems to work on. We work closely with our product in a collegiate, collaborative environment that encourages open exploration of ideas. The MTS Dev Extension Engineer will work on the Nutanix distributed system infrastructure. About the Team The Dev-Extension team ("DevEx" for short) at Nutanix is a 60+ person team located primarily in the US and India. This team plays a crucial role in maintaining a high NPS score by solving and root-causing challenging customer problems at a code level. Their successes are recognized company-wide, and they have been frequently acknowledged in multiple R&D All Hands meetings. What sets them apart is their deep commitment to sustaining engineering and their holistic approach to addressing customer issues efficiently. Your Role Work as part of the extended software development team on software features and bug triaging. Develop automation tools to identify bottlenecks, perform preliminary root cause analysis, and apply corrective actions. Engage with QA teams when needed to reproduce problems and perform in-depth root cause analysis. Develop a deep understanding of complex distributed systems. Manage internal escalations to the Engineering team in the Nutanix AOS Infrastructure and related areas. Program in a Linux environment to develop and maintain reliable, field-serviceable, and maintainable software components. What You Will Bring Passion for programming and strong proficiency in one or more programming languages: C++, Java, Python, Golang. Excellent analytical and problem-solving skills. Hands-on knowledge of OS concepts, networking, and storage systems. Genuine passion for troubleshooting complex distributed systems. Solid understanding of UNIX/Linux operating systems. Strong written and verbal communication skills, along with effective collaboration abilities. A team player who thrives in fast-paced, startup-like environments. Bachelor's degree in Computer Science or related field (industry experience is a plus). Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with in-person collaboration. In most cases, this means being in the office at least 2-3 days per week. Some roles and teams may require more frequent in-office presence. Specific guidance and norms will be provided by your manager. Equal Opportunity Employer Nutanix is an Equal Employment Opportunity and (in the U.S.) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status, or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job. We strive to foster an inclusive working environment that enables all Nutants to be themselves and do great work in a safe, welcoming environment free of discrimination, intimidation, or harassment. We also ensure that persons with disabilities are provided reasonable accommodations. Qualification : Bachelor's degree in Computer Science or related field (industry experience is a plus).

Job Title: Staff Engineer Embedded Software & Methodologies Job Overview: The Architecture and Technology Group (ATG) at Arm plays a critical role in shaping the future of Arm s architecture roadmap. ATG develops industry-leading secure CPU and system architectures, along with technologies that empower our global ecosystem to build innovative products. As part of this, ATG also creates Architecture Compliance Kits (ACK) a crucial product that ensures CPU implementations adhere to Arm architecture standards. These kits are utilized by both internal and external CPU design teams to validate compliance. The ATG team in Bangalore focuses on developing these ACK products. The Methodology Team, specifically, builds embedded software, methodologies, and tools for the latest Arm cores and system IPs. As a Staff Engineer, you will provide technical leadership and guide junior engineers while actively contributing to product development. You will leverage your software engineering expertise to build scalable, high-quality compliance kits used across Arm s internal teams and external partners. Key Responsibilities: Act as a technical expert, driving the design and development of embedded software, boot flows, and methodologies for architectural compliance. Analyze architecture specifications and define software methodologies that meet industry standards. Provide technical direction to the team while mentoring and guiding junior engineers. Collaborate with cross-functional teams to ensure successful and timely delivery of engineering commitments. Continuously enhance development efficiency through improved methodologies, automation, and process enhancements. Communicate delivery status, technical risks, and mitigation plans effectively to stakeholders. Required Skills & Experience: Bachelor s or Master s degree (or equivalent) in Computer Engineering, Computer Science, or Electronics Engineering. 10+ years of experience in embedded software development, boot flows, firmware development, driver development, or low-level operating system driver development for processors. Strong understanding of software engineering principles, along with excellent analytical, problem-solving, and debugging skills. Strong communication skills both verbal and written with the ability to convey technical information effectively across teams. Self-driven, proactive, and able to take ownership of tasks and responsibilities. Preferred Skills: Familiarity with computer architecture fundamentals, especially Arm or x86 architecture. Proficiency in at least one programming language (C or C++) and one scripting language (Perl or Python). Experience with assembly-level programming. Working knowledge of software verification methodologies, embedded software environments, and toolchains (with preference for GNU toolchains). Join a team that thrives on technical excellence and innovation. Whether it s defining cutting-edge architectures, developing advanced cores, or creating custom physical IPs, Arm offers you a platform to push boundaries and make a lasting impact. Qualification : Bachelors or Masters degree (or equivalent) in Computer Engineering, Computer Science, or Electronics Engineering.

Job Title: Senior Software Engineer Python Location: Pune, India Company: Blue Yonder Experience: 9 to 13 years Education: Bachelor s Degree in Computer Science, Information Technology, or related fields About Blue Yonder Blue Yonder is a leading AI-driven global supply chain solutions provider, consistently recognized among Glassdoor s Best Places to Work. Our innovative products drive digital transformation for businesses worldwide across manufacturing, retail, and supply chain sectors. Role Overview We are seeking a Senior Software Engineer Python to join our growing Industry Solutions team, which is building a ground-up SaaS product focused on solving complex challenges in Manufacturing and Retail Industries. The team currently consists of 60+ global associates across the US and India and is set to expand rapidly. This role requires strong technical expertise combined with leadership qualities to mentor junior and mid-level engineers. Key Responsibilities Architect, design, and develop scalable, event-driven multi-tenant microservices using Python. Lead technical design discussions and mentor junior engineers on best practices, coding standards, and software quality. Drive code reviews, contribute to cleaner code, and advocate for effective testing strategies. Collaborate with cross-functional teams to deliver high-quality features aligned with product roadmaps. Troubleshoot complex issues by identifying root causes and implementing long-term fixes. Continuously contribute to improving engineering processes, code quality, and team productivity. Promote knowledge-sharing through training sessions, internal talks, and contributions to open-source projects. Ensure secure architecture by implementing strong identity management and secure configurations. Champion DevOps practices, Infrastructure as Code, and automation-first approaches for deployments. Focus on designing self-healing services with robust monitoring and alerting. Collaborate with stakeholders to optimize cloud infrastructure and cost efficiency. Foster a blameless culture during incident reviews and encourage continuous learning. Technical Skills & Experience Required 9 to 13 years of experience in Enterprise Python Development. Strong expertise in Python design patterns and libraries like Numpy. Deep understanding of cloud-native architectures and Azure services (e.g., AKS, Event Hub, Azure AD, HDInsight, ARM templates, etc.). Strong hands-on experience in REST API development, OAuth, and multi-tenant microservices. Experience with data platforms such as Snowflake and MS SQL. Solid understanding of Git, Gradle, Jenkins, and CI/CD pipelines. Background in infrastructure automation and DevOps practices. Experience designing and building secure systems with identity management and data protection. Knowledge of web services, IDOCs, and interface handling is a plus. Preferred Qualifications Exposure to manufacturing or retail domain. Familiarity with solver algorithms and optimization solutions. Experience working in agile teams with strong emphasis on collaboration and iterative delivery. Strong problem-solving mindset with a passion for mentoring and knowledge sharing. Work on cutting-edge AI-driven supply chain solutions with a global impact. Collaborate with a diverse and talented global team. Professional growth through mentorship, learning programs, and leadership opportunities. Experience a flexible and inclusive work environment that values creativity, innovation, and personal well-being. Diversity, Inclusion, Value & Equity (DIVE) At Blue Yonder, Diversity, Inclusion, Value & Equity are at the heart of our culture. We value diverse perspectives and foster an environment where everyone feels empowered to bring their authentic selves to work. All qualified applicants will receive equal consideration regardless of race, color, religion, gender identity, sexual orientation, disability, or veteran status. Qualification : Bachelors Degree in Computer Science, Information Technology, or related fields

Job Title: Senior DevOps / Site Reliability Engineer Location: Pune, India Company: Blue Yonder Experience: 10 to 13 years Education: Bachelor s Degree in Computer Science, Engineering, or related STEM fields Company Overview Blue Yonder is a leading AI-driven Global Supply Chain Solutions provider and consistently recognized as one of Glassdoor s Best Places to Work. We are driving the next wave of digital transformation in manufacturing and retail, delivering innovative SaaS solutions that power intelligent supply chains across the globe. We are looking for a Senior DevOps / Site Reliability Engineer (SRE) to lead the design, development, deployment, and operational management of our Azure SaaS solution. This role requires strong DevOps, cloud delivery, and infrastructure automation expertise, along with leadership capabilities to guide a growing global team. Role Overview In this role, you will be responsible for architecting, planning, and executing end-to-end delivery pipelines, supporting both product development and operational stability. Working closely with platform, product, and architecture teams, you will implement best-in-class DevOps and SRE practices, ensuring scalability, resilience, and cost optimization. Key Responsibilities Architect, design, and manage CI/CD pipelines and infrastructure for a cloud-native, multi-tenant SaaS solution on Azure. Lead sprint planning, backlog grooming, and architecture discussions. Develop quality automation scripts and tools to reduce manual efforts and enable self-healing, self-service capabilities. Identify and resolve operational bottlenecks and proactively improve observability (monitoring, alerting, logging). Participate in code reviews, ensure secure and scalable designs, and mentor junior and mid-level engineers. Collaborate with stakeholders to understand business and technical requirements and translate them into actionable user stories. Implement and enforce cloud cost optimization strategies. Conduct post-incident reviews with a blameless culture to identify root causes and drive continuous improvements. Automate service requests and standard operational procedures. Drive improvements to the team s continuous integration pipeline, ensuring rapid and reliable deployments. Stay updated with the latest DevOps, SRE, and cloud technologies and bring innovative ideas to the table. Participate in team hiring and actively contribute to onboarding new team members. Technical Environment Languages: Java, Python, PowerShell, Shell Scripting DevOps Tools: Azure DevOps, GitHub Actions, Jenkins Cloud: Microsoft Azure (ARM Templates, AKS, Event Hub, HDInsight, Azure AD, Application Gateway, Virtual Networks) Architecture: Microservices, Kubernetes, Docker, Event-driven architecture Frameworks: Spring Boot, Hibernate Monitoring & Logging: Elasticsearch, Spark, Kafka Databases: RDBMS, NoSQL Version Control: Git Required Skills & Experience Bachelor s Degree (STEM preferred) with 10 to 13 years of experience in DevOps, Cloud Delivery, or Site Reliability Engineering. Proven hands-on experience with Azure Cloud Services. Expertise in setting up and optimizing CI/CD pipelines. Strong scripting experience: Shell and PowerShell are mandatory; Python is a plus. Strong understanding of container technologies (Docker, Kubernetes) and microservices architecture. Experience integrating and managing third-party monitoring and logging tools. Strong problem-solving skills and ability to work with global, cross-functional teams. Excellent communication and stakeholder management skills. Nice to Have Development experience in Java or Python. Experience working in agile teams with a product-centric mindset. Experience working in manufacturing or retail domains. Exposure to AI/ML-driven monitoring and observability tools. Work with cutting-edge technologies on globally impactful solutions. Collaborate with diverse and talented teams across the US, India, and the UK. Foster your career growth through mentorship, continuous learning, and leadership opportunities. Experience an inclusive, flexible work culture where innovation and creativity thrive. Diversity, Inclusion, Value & Equality (DIVE) At Blue Yonder, we are committed to building an inclusive environment where everyone feels empowered to be themselves. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Qualification : Bachelors Degree in Computer Science, Engineering, or related STEM fields

Staff Engineer - Product and Platform Engineering (Aerospace and Defense) About the Role: We are seeking a highly motivated and experienced Staff Engineer to join our Product and Platform Engineering team within the Aerospace and Defense domain. This role requires 6-10 years of experience and a strong background in leading the design, development, and implementation of scalable solutions using React.js, Spring Boot, and other relevant technologies. The ideal candidate will collaborate with teams to define technical specifications aligned with business goals, utilize Java expertise for robust microservices architecture, mentor junior engineers, drive Agile adoption, own AWS services configuration and optimization, ensure system security, performance, and reliability, and stay updated on industry trends. Responsibilities: Lead the design, development, and implementation of scalable and efficient product and platform solutions using React.js, Spring Boot, and other relevant technologies. Collaborate with cross-functional teams to gather requirements, define technical specifications, and ensure alignment with business goals. Utilize strong Java expertise to design and implement robust microservices architecture. Mentor and guide junior engineers in best practices, code reviews, and technical skills development. Drive the adoption of Agile methodologies to streamline development processes and improve project delivery. Take ownership of AWS services configuration and optimization, including EC2, ECS, Route53, VPC, SQS, and SNS. Ensure the security, performance, and reliability of the system by implementing unit testing, monitoring, and troubleshooting. Stay updated on industry trends and technologies, continuously enhancing skills and contributing to the innovation and growth of the team. Qualifications: Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or Master of Technology (M.Tech) in Computer Science or Software Engineering. 6-10 years of extensive experience in React.js, Spring Boot, JavaScript, HTML, CSS, NoSQL, TypeScript, Agile Methodologies, AWS (EC2, SNS, SQS, ECS, Route53, VPC), RDBMS, Data Structures and Algorithms, and Microservices. In-depth understanding and proficiency in each of the listed technologies. Specifically, deep expertise in Java, Spring Boot, and Microservices is critical. Strong foundation in Agile Methodologies. Familiarity with database systems (RDBMS and NoSQL). Preferred Qualifications: AWS Certified Solutions Architect certification. React Developer Professional Certificate. About Altimetrik: Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infusing speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps companies get unstuck . We re a technology company that gives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organizations talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or Master of Technology (M.Tech) in Computer Science or Software Engineering.

About the Job Google's software engineers develop next-generation technologies that transform how billions of users connect, explore, and interact with information and one another. Beyond web search, our products must manage information at a massive scale, leveraging expertise in fields such as distributed computing, large-scale system design, networking, data storage, artificial intelligence, natural language processing, UI design, and mobile. As a Software Engineer, you'll work on mission-critical projects, with opportunities to switch teams and projects as you and our fast-paced business evolve. We seek engineers who are versatile, demonstrate leadership qualities, and are enthusiastic about solving new challenges across the full-stack as we continue pushing technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables while designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. Google Cloud helps organizations digitally transform with cutting-edge infrastructure, platforms, and solutions, all while operating on the cleanest cloud in the industry. Trusted by customers in more than 200 countries and territories, Google Cloud is a partner that enables growth and solves critical business challenges. Responsibilities Provide technical leadership on high-impact projects. Influence and mentor a distributed team of engineers. Facilitate alignment across teams, ensuring clarity on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance large-scale software solutions. Minimum Qualifications Bachelor s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience in software design and architecture, including testing and launching software products. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 5 years of experience in a technical leadership role, leading project teams and setting technical direction. 3 years of experience working in complex, matrixed organizations on cross-functional or cross-business projects.

Job Description: Arm has excellent opportunities in the Solution Engineering group - which has a charter to develop best-in-class SoCs and compute subsystems using industry-leading Arm IP products. These solutions target different market segments like premium mobile, servers, automotive, and IoT. The pre-silicon verification team in Bangalore is looking for highly-skilled engineers with experience in system validation of SoCs on Emulation platform. Responsibilities: Be part of the verification team, and define the emulation-based stress validation methodology & build verification plans. This will involve closely interacting with multiple cross-site & co-located collaborators like the SoC architects, designers, & DV engineers to come up with the extended stress validation plans for the product. Work on multiple industry-standard emulation platforms from EDA vendors, and closely collaborate with technology teams to resolve issues with porting the design on these platforms, and to improve Arm's validation methodology on emulation Take up the responsibility to identify & enable transactors, traffic exercisers, virtual host devices, and monitors on the emulation platform - which will help effective validation of the SoC design. You will be accountable for planning and developing bare-metal and OS-based test content for system stress and use-case validation targeting multiple product use-cases. The team is responsible to find bugs by enabling validation content on high-speed subsystems like PCIe, Ethernet, USB, etc. and other subsystems like DDR, HBM, UFS, HDMI, MIPI devices, LSIO, etc. on emulation Mentor junior engineers and work as a team to deliver on validation goals. Skills and experience required: 5 to 15 years of proven hands-on experience in SoC/subsystem validation. Emulation-based verification experience is a big plus. Prior knowledge of at least one of the blocks like CPU, PCIe, DDR, Ethernet, DDR, USB, etc. Experience working on industry-standard emulators, and validation using transactors or virtual devices will be a plus C/C++ skills with strong understanding of how software interacts with the SoC, firmware, and hardware components is a requirement. Understanding of OS/Linux, drivers and kernel modules is desired. Expertise on hardware behavioral language (Verilog, SystemVerilog) Knowledge of scripting (e.g. Tcl, Perl, Python etc.) In return: Our offices are amazing places to collaborate. If you are interested, but unsure whether you tick all the boxes, we still would love you to reach out! We are keen to welcome people with versatile skills and experience into Arm! Accommodations at Arm At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.