Mediation Zone Engineer Jobs in Bengaluru

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

Data Engineer Location: Bangalore Company: Capital One India About Capital One At Capital One, we're redefining how technology solves real-world financial challenges. As a technology-driven company, we bring together talented engineers, data scientists, and designers to innovate at scale and deliver meaningful impact to millions of customers. If you're passionate about building powerful data solutions, exploring cutting-edge technologies, and working in a collaborative, fast-paced environment this is the place for you. About the Role As a Data Engineer at Capital One, you ll join a team of innovators who design and build next-generation data platforms and pipelines that power real-time decision-making. You ll collaborate across disciplines engineering, product, machine learning, and cloud infrastructure to transform how we leverage data at scale. What You ll Do Collaborate across Agile teams to design, develop, test, and deploy data-driven solutions. Build and support scalable data pipelines using modern data engineering tools and cloud services. Work on real-time and batch data processing systems that integrate with distributed microservices and ML platforms. Use programming languages such as Python, Java, or Scala with SQL, NoSQL, and cloud data warehouses like Redshift or Snowflake. Contribute to code reviews, unit testing, and performance optimization to ensure high-quality data systems. Partner with product managers and platform teams to deliver robust, cloud-native data solutions that power business decisions. Stay ahead of tech trends, share knowledge, and mentor junior engineers. Basic Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 1.5+ years of hands-on experience in application or data engineering (excluding internships). At least 1 year of experience working with big data technologies. Preferred Qualifications 3+ years of application/data engineering experience using Python, Scala, Java, or SQL. 1+ year of experience with cloud platforms (AWS, Azure, or GCP). 2+ years of experience with distributed computing tools (Spark, Hadoop, Hive, EMR, Kafka, etc.). 1+ year working on real-time streaming applications. 1+ year of experience with NoSQL databases (MongoDB, Cassandra). 1+ year of experience with data warehousing (Redshift, Snowflake). 2+ years working with Linux/Unix systems and shell scripting. Familiarity with Agile methodologies and modern DevOps practices. Why Join Capital One Work on high-impact data solutions at one of the world s most innovative financial institutions. Be part of a collaborative tech culture that values experimentation and learning. Access to top-tier tools, mentorship, and career development opportunities. Competitive compensation and benefits in a mission-driven environment. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Senior Manager Full Stack Engineering Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we blend the agility of a startup with the scale of a Fortune 100 company. Our technology teams drive transformation across banking by building next-generation financial products that are secure, user-centric, and powered by cutting-edge engineering practices. We are makers, breakers, doers, and thinkers working together to reinvent consumer finance through technology, modern design, and data science. As a company that builds its own software and platforms, we re constantly innovating to help over 65 million customers bank better. About the Role As a Senior Manager Full Stack Engineering, you ll lead multiple teams building highly available, scalable, and secure platforms and applications. You ll be at the forefront of technical design, architecture, and implementation, helping your teams deliver impactful solutions across web, mobile, backend services, and cloud infrastructure. This is a hands-on leadership role ideal for an experienced engineering leader who still loves to write code, mentor engineers, and contribute directly to architecture and product evolution. What You ll Do Lead full-stack engineering teams delivering cross-functional, multi-platform applications using modern cloud and open-source technologies. Own end-to-end technical design, architecture decisions, and delivery strategy for critical systems. Partner with architects, product managers, and cross-functional leaders to understand requirements, prioritize needs, and develop scalable solutions. Guide and mentor engineers, driving technical excellence, performance, and career growth across teams. Drive Agile delivery, ensuring projects meet timelines and quality standards while promoting DevOps best practices. Champion and enforce best practices in secure coding, architecture, compliance, and accessibility. Collaborate with internal and external stakeholders to align technology vision with business goals. Manage full software development lifecycle: planning, estimation, implementation, deployment, and support. Foster a culture of engineering excellence, continuous learning, and experimentation. Basic Qualifications Bachelor s Degree in Computer Science, Engineering, or a related field 8+ years of experience in software development, with a focus on full-stack systems 5+ years of experience managing software development teams through full release cycles Proven track record of leading Agile teams and delivering high-impact technology projects 5+ years of people management experience, including mentoring and team scaling Preferred Qualifications Master s Degree in Computer Science, Engineering, or Business 10+ years of software engineering experience in large-scale, distributed systems 6+ years of experience applying Agile methodologies (Scrum, Kanban, SAFe) Hands-on experience with some or all of the following: Languages: Java, Python, Go, JavaScript, Node.js Frontend: React, AngularJS, HTML5, CSS Cloud: AWS, Azure, GCP (AWS preferred) DevOps: CI/CD, Docker, Kubernetes, Terraform Databases: NoSQL (MongoDB, Cassandra), SQL, Redshift, Snowflake Strong understanding of accessibility standards and building inclusive digital products Experience with Big Data, event-driven architectures, and RESTful APIs Passion for mentoring, technical excellence, and building diverse, high-performing teams Join a team that's redefining how software powers banking Build next-gen cloud-native applications from scratch Work on meaningful problems with direct customer impact Thrive in a collaborative, transparent, and inclusive culture Access top-tier learning opportunities, technical conferences, and internal mentorship Qualification : Masters Degree in Computer Science, Engineering, or Business

Position: Mechanical Design Engineer Location: Bengaluru Industry: Automation / Special Purpose Machinery (SPM) / Semiconductor (preferred) Qualifications: Bachelor s degree in Mechanical Engineering (BE) 3 to 5 years of relevant experience, preferably in machinery or automation sectors Technical Skills: Proficiency in 3D CAD software (mandatory), such as SolidWorks, Autodesk Inventor, or NX Strong expertise in selection and integration of OEM components: motors, couplings, bearings, linear motion guides, O-rings Knowledge of weldment processes, machining for structural design, and sheet metal fabrication for enclosures Ability to create detailed 3D models and GD&T drawings for manufacturing Experience in design calculations like LM guide movement, coupling torque, and O-ring sizing (a plus) Familiarity with semiconductor industry design activities is advantageous Working knowledge of pneumatic, vacuum, and cooling systems is beneficial Soft Skills: Excellent communication skills Willingness to work flexible hours to accommodate US time zone meetings Responsibilities: Develop and generate 3D models and detailed manufacturing drawings adhering to design standards Perform design calculations and validate engineering designs to ensure accuracy and feasibility Collaborate closely with cross-functional teams to select and integrate OEM components appropriately Participate in structural and sheet metal enclosure design and development Keep up-to-date with the latest trends and technologies, especially in semiconductor and automation domains Provide technical support on pneumatic, vacuum, and cooling systems as needed Perform additional related duties as assigned to support project and team objectives Qualification : Bachelors degree in mechanical engineering (BE)

Backend Engineer Location: Bengaluru (Hoodi, Rathi Legacy, Rohan Tech Park) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader leveraging AI and data to solve complex industrial challenges in Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF). We have been recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, driving the future of industrial digital transformation. Our Values Impact: Deliver meaningful, measurable results. Ownership: Take responsibility beyond your comfort zone and foster inclusivity. Relentless: Innovate with determination and resilience. Role & Responsibilities Design and develop scalable, high-performance backend services and APIs using Java, Kotlin, or Python for Cognite Data Fusion. Work with advanced database technologies like PostgreSQL and Elasticsearch to enhance our industrial knowledge graph. Collaborate with application teams to create user-centric solutions addressing complex industrial problems. Build resilient, scalable infrastructure using modern open-source tools and Cognite s data platform. Influence critical product and technical decisions by partnering closely with stakeholders and domain experts. 5+ years of backend engineering experience, primarily using Java, Kotlin, or Python in SaaS/product companies at scale. Flexibility with tech stacks: Java/Kotlin experience is a plus for Python developers and vice versa. Experience with Spark is highly valued. Strong background in modern databases (PostgreSQL, Elasticsearch), graph processing, distributed systems, and performance tuning. Commitment to clean, maintainable code and best practices through continuous code review and improvement. DevOps experience: CI/CD, Infrastructure as Code, Kubernetes multi-cloud deployments (AWS, GCP, Azure). Skilled in observability and diagnostics with tools like Prometheus, Grafana, and expertise in troubleshooting complex system issues. Comfortable contributing to and learning from the open-source community. Excellent communication skills to collaborate effectively across diverse, global teams. Be part of a diverse global team representing 70+ nationalities, committed to DEI. Work in a modern, vibrant office environment at Rathi Legacy, Hoodi, Bengaluru with hybrid flexibility. Flat hierarchy with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious, high-impact projects across multiple industries. Engage in Cognite s HUB community for direct interaction with colleagues and partners. Make Your Impact Join Cognite and help revolutionize industrial digital transformation with strong DataOps, enabling better decisions and sustainability for global clients. We encourage applications from all backgrounds and identities. If you re passionate about shaping the future of industrial SaaS, apply today!

Job Title: Azure Infrastructure Architect Location: Bengaluru, Karnataka, India Department: Engineering About CloudSEK CloudSEK is one of India s leading cybersecurity product companies, focused on leveraging Artificial Intelligence and Machine Learning to identify and resolve digital threats in real-time. With a strong portfolio of products like CloudSEK XVigil, BeVigil, and SVigil, we provide advanced solutions for attack surface monitoring, cybersecurity risk management, and software supply chain protection. We are headquartered in Singapore and have expanded rapidly across India, Southeast Asia, and the Americas. At CloudSEK, we prioritize innovation, agility, and building impactful products that keep our customers ahead of emerging cybersecurity threats. About the Role: Azure Infrastructure Architect CloudSEK is looking for an Azure Infrastructure Architect to design, implement, and optimize cloud infrastructure solutions on Microsoft Azure. The ideal candidate will have deep expertise in Azure services, infrastructure automation, and security best practices, with a strong background in cloud architecture patterns. You will work closely with various stakeholders to align cloud strategies with business objectives, ensuring high availability, security, and scalability of enterprise applications. Key Responsibilities Cloud Architecture & Design: Design and implement highly scalable, resilient, and secure cloud infrastructure solutions on Microsoft Azure. Develop cloud adoption strategies, migration plans, and hybrid cloud architectures to meet business needs. Create architecture blueprints, reference architectures, and best practices tailored to Azure environments. Ensure compliance with the Azure Well-Architected Framework and other industry standards. Infrastructure & Automation: Architect and automate Infrastructure as Code (IaC) using tools like Terraform, ARM templates, Bicep, and Ansible. Implement CI/CD pipelines for infrastructure deployment using Azure DevOps, GitHub Actions, or Jenkins. Automate cloud operations, monitoring, and governance using Azure Automation, PowerShell, and Python. Security & Compliance: Design and enforce Azure security best practices including Azure Policy, RBAC, NSGs, Key Vault, Defender for Cloud, and Sentinel. Ensure adherence to regulatory frameworks like ISO 27001, SOC 2, GDPR, and HIPAA. Perform threat modeling, risk assessments, and define zero-trust architectures. Networking & Hybrid Cloud: Design and optimize Azure Virtual Networks (VNet), ExpressRoute, VPN Gateway, and Load Balancers for seamless operations. Implement hybrid cloud architectures, integrating on-premises data centers with Azure via Azure Arc. Optimize network performance, DNS, CDN, and traffic routing in cloud-native environments. Performance Optimization & Cost Management: Leverage Azure Cost Management to implement cost-effective cloud solutions and manage reserved instances. Optimize cloud resource utilization using Autoscaling, VM sizing, and Serverless computing models. Define and implement cloud governance policies to control costs and improve operational efficiency. Collaboration & Stakeholder Engagement: Collaborate with DevOps, Security, and Application teams to align infrastructure solutions with business needs. Provide technical leadership and guidance to engineering teams, ensuring alignment with industry trends and best practices. Act as a trusted advisor to leadership on cloud strategies, emerging technologies, and technical decision-making. Required Skills & Qualifications Technical Expertise: Azure Services: Experience with Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, Azure SQL, CosmosDB, and Azure Networking (VNet, NSG, VPN, ExpressRoute). Automation & IaC: Expertise in Terraform, ARM Templates, Bicep, Ansible, PowerShell, Python. DevOps & CI/CD: Knowledge of Azure DevOps, GitHub Actions, Jenkins, Kubernetes, Docker. Security & Compliance: Familiarity with Azure Security Center, Azure AD, Key Vault, Microsoft Defender for Cloud, Sentinel, and Zero Trust Model. Networking & Hybrid Cloud: Experience with ExpressRoute, Load Balancers, Private Link, Virtual WAN, Azure Arc. Monitoring & Logging: Proficiency with Azure Monitor, Log Analytics, Prometheus, and Grafana. Cloud Migration: Hands-on experience in cloud migrations using Azure Migrate, including planning and execution. Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and stakeholder management skills. Ability to work in agile environments and across cross-functional teams. A passion for continuous learning and staying updated with the latest Azure technologies. Preferred Qualifications: Azure Certifications such as Azure Solutions Architect Expert (AZ-305), Azure Security Engineer (AZ-500), or Azure DevOps Engineer (AZ-400). Experience with multi-cloud environments (AWS, GCP). Familiarity with database technologies (SQL, NoSQL, PostgreSQL, MySQL). Location Bengaluru, Karnataka, India Education/Qualification Bachelor s degree in Engineering or Technology (B.Tech/BE). Years of Experience 10 to 15 years of professional experience in cloud infrastructure and architecture design. Be part of a fast-growing startup where you can make a direct impact. Competitive salary and a comprehensive benefits package. Access to cutting-edge technologies and continuous learning opportunities. Flexible working hours and a collaborative work culture focused on innovation and growth. If you're an experienced Azure Infrastructure Architect passionate about designing and optimizing cloud solutions with Microsoft Azure, we would love to hear from you! Join CloudSEK and be part of a forward-thinking team revolutionizing the cybersecurity landscape. Qualification : Bachelors degree in Engineering or Technology (B.Tech/BE).

Engineering Manager Location: Bangalore, Karnataka Full Time Experience: 8 - 12 Years About the Role Swiggy is looking for a passionate and hands-on Engineering Manager to join our high-performing tech team in Bangalore. You will play a pivotal role in driving the technology vision and strategy for the Food, Instamart, and Dineout business lines, building scalable platforms that power promotions, pricing, and ads across millions of daily interactions on the Swiggy app. This role is ideal for an experienced engineering leader who thrives in a fast-paced environment, can architect scalable systems, and enjoys mentoring and growing high-performing engineering teams. Key Responsibilities Lead a cross-functional team of backend and frontend engineers to build scalable and high-quality software solutions. Collaborate closely with Product Managers, Designers, and Business stakeholders to deliver robust, user-centric products. Co-own and drive the technology vision and architectural decisions for the team and product. Create clear career paths for team members and guide their development and growth. Mentor and coach team leads, senior engineers, and architects across the team. Drive the adoption of best software engineering practices including code reviews, testing, CI/CD, and design standards. Ensure timely delivery and consistent execution on business goals while maintaining technical excellence. 8 12 years of software development experience with at least 1 2 years in a people management or technical leadership role. Proven ability to lead engineering teams of 10+ developers in a dynamic, growth-focused environment. Strong hands-on experience with backend technologies like Java, Golang, Python, and related frameworks. Experience with web technologies, distributed systems, microservices architecture, and high-volume data pipelines. Strong foundation in databases: MySQL, NoSQL, Redis, and cloud technologies (e.g., AWS). Track record of building and scaling systems for products with high user engagement and traffic. Strong problem-solving, analytical, and technical decision-making skills. Excellent communication and stakeholder management skills. As part of Swiggy s Food Tech team, you will directly contribute to Swiggy s mission of becoming the King of Convenience. This is a high-impact leadership role that allows you to shape products used by millions, influence technical strategy, and build a world-class engineering team in one of India s leading consumer tech companies. Equal Employment Opportunity Swiggy is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Job Title: Dot Net Team Lead Location: Bangalore Notice Period: Open Prefer candidates who can join as soon as possible Opportunity: Full-Time About Aezion: Aezion is a leading technology solutions provider specializing in custom software, AI-driven solutions, and enterprise digital transformation. We pride ourselves on being one of the most trusted digital engineering providers in the USA, with a commitment to delivering excellence throughout the project lifecycle. At Aezion, we believe that our work is an expression of our values, and our mission is to honor our commitments to clients and employees alike, transforming them into lifelong partners. Working at Aezion: Aezion is a mission-driven company that s guided by our core values: Love, Dependability, Humility, Diversity, Speed, and Innovation. Our purpose is to love others as Christ did, and we deliver on this by serving our clients with excellence. Our 200+ dedicated employees pour their efforts into transforming customers into lifelong partners. Role Overview: We are looking for a Dot Net Team Lead to guide and mentor a team of C# and .NET developers in the development and implementation of enterprise-scale .NET applications. You will be responsible for transforming business requirements into technical designs and leading the development of high-quality software solutions. This is an exciting opportunity to work in a fast-paced environment with dynamic project teams, focusing on building scalable and efficient applications. Key Responsibilities: Lead a team of .NET developers, providing technical guidance and ensuring high-quality application development. Architect and design scalable and reliable enterprise-level .NET applications, translating business requirements into technical solutions. Design, build, and maintain efficient, reusable, and reliable code throughout the development lifecycle. Identify and resolve bottlenecks, bugs, and performance issues by analyzing system architecture and recommending improvements. Contribute to team meetings, collaborate on troubleshooting development and production problems, and provide solutions across multiple environments. Provide technical and architectural direction to the team supporting .NET applications, ensuring that the development process aligns with industry best practices. Mentor junior developers, conduct code reviews, and guide team members in adopting new technologies and methodologies. Ensure smooth integration of applications, working with multiple integration points. Required Skills & Experience: Experience in ASP.NET Development & Design: Proficiency in ASP.NET and .NET frameworks, with experience in application architecture and design. Multi-Tier .NET Applications: Expertise in building and maintaining multi-tier web applications using MVC (3/4/5) frameworks. Entity Framework: Experience with the Entity Framework, including data modeling and database access. .NET Frameworks: Proficiency in .NET 3.5/4.0/5.0, with a solid understanding of advanced concepts and the ability to implement them effectively. Azure Knowledge: Experience with Microsoft Azure or a solid understanding of cloud technologies. Web Development Skills: Proficient in C#, JavaScript, CSS, Ajax, and JQuery for building web-based applications. Database Skills: Solid experience with SQL Server, including writing stored procedures and working with databases. Web Services: Experience with SOA and Web Services development in an enterprise environment. Prototyping & Design: Experience with designing, prototyping, and providing architecture solutions. Debugging & Troubleshooting: Strong skills in debugging, profiling, and troubleshooting multi-tier applications. Development Methodologies: Familiarity with SDLC processes, unit testing, and Test-Driven Development (TDD). Mentorship: Proven ability to mentor developers, guide small teams, and share knowledge across the development team. Other Attributes: Excellent communication skills with the ability to convey complex technical details to both technical and non-technical audiences. Ability to lead a team, make decisions, and guide team members through complex technical challenges. Hands-on experience in delivering at least two full projects with multiple integration points. Strong problem-solving and troubleshooting abilities, with a focus on delivering high-quality solutions. What We Offer: A dynamic and mission-driven work environment where innovation is encouraged and valued. The opportunity to lead and mentor a talented team of developers, working on cutting-edge projects. Competitive compensation and growth opportunities within a growing, values-driven company.

Role: Senior SEO Executive Experience Required: Minimum of 4+ years of relevant experience Location: Bangalore Notice Period: Open Immediate joiners preferred Employment Type: Full-Time About Aezion: Aezion is a leading technology solutions provider, specializing in custom software development, AI-driven solutions, and digital transformation for enterprises. As one of the trusted digital engineering partners in the USA, we are committed to delivering excellence by exceeding client expectations across all stages of the project lifecycle architecting, designing, developing, hosting, maintaining, and supporting. We live by our core promise: "Get it right, or make it right." At Aezion, we view work as a ministry, an expression of our values, where results not only transform our clients but also forge lasting partnerships. Our Culture: At Aezion, we are a mission-driven organization guided by our Purpose Love others like Christ and our values: Love, Dependability, Humility, Diversity, Speed, and Innovation. We believe service defines us, and our dedicated team of 200+ employees work tirelessly to transform our customers into lifelong partners. Through service excellence, we aim to impact lives and drive success. Role Overview: We are seeking a skilled and motivated Senior SEO Executive to join our dynamic team. You will be responsible for driving organic search growth and improving visibility across search engines. This role will involve developing SEO strategies, conducting keyword research, optimizing on-page elements, building backlinks, and monitoring performance using SEO tools. Additionally, you will collaborate with cross-functional teams to align SEO efforts with broader marketing and content goals. Key Responsibilities: SEO Strategy Development: Formulate and implement effective SEO strategies to improve organic search visibility and drive traffic to the website. Keyword Research: Conduct comprehensive keyword research to identify high-value search terms relevant to Aezion s target audience and industry. On-Page Optimization: Optimize on-page content, including metadata, headers, image alt tags, and internal links, to enhance search rankings and relevance. Content Collaboration: Work closely with the content team to ensure all published content adheres to SEO best practices and targets strategic keywords. Technical SEO: Identify and resolve technical SEO issues, such as crawl errors, page speed optimization, mobile-friendliness, and XML sitemaps. Collaborate with web developers to implement technical SEO best practices across the site. Link Building: Build high-quality backlinks through outreach, guest blogging, and content promotion. Performance Monitoring & Reporting: Track, analyze, and report on organic performance metrics (traffic, rankings, bounce rate, etc.) using tools like Google Analytics, Google Search Console, and other SEO platforms. Provide actionable insights for continuous improvement. Social Media Integration: Develop and implement a social media content strategy that aligns with the overall marketing goals. Manage Aezion s social media presence across platforms like Facebook, Twitter, LinkedIn, and Instagram. Engagement Monitoring: Monitor social media channels for mentions, comments, and messages, responding promptly to inquiries and feedback to maintain brand reputation. Required Skills and Experience: SEO Expertise: At least 4+ years of hands-on experience in SEO, including keyword research, on-page optimization, and link building. Content & Technical SEO: Proven experience in optimizing both content and technical SEO elements to improve rankings and user experience. Analytics & Reporting: Proficiency with SEO tools such as Google Analytics, Google Search Console, Ahrefs, SEMrush, or similar platforms. On-Page & Off-Page SEO: Strong understanding of on-page optimization techniques (metadata, content, internal linking) and off-page strategies (backlink building). Social Media Savvy: Experience in managing and optimizing social media content to support SEO and marketing initiatives. Communication Skills: Strong written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams. Problem-Solving: Ability to identify and resolve SEO challenges, from technical issues to content optimization. Preferred Qualifications: Experience with SEO in a competitive digital environment, preferably in technology or software services. Familiarity with CMS platforms (WordPress, Joomla, etc.) and basic HTML/CSS. Certifications in SEO or related fields (e.g., Google Analytics, SEMrush, or HubSpot) are a plus.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Lead Solutions Analyst at JPMorgan Chase within the Asset and Wealth Management Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job Responsibilities Lead the analysis and design of complex business solutions ensuring alignment with business goals and objectives. Collaborate with stakeholders to gather and document business requirements, translating them into functional specifications. Create and maintain a backlog of initiatives, epics and stories for technology team to execute. Build and maintain strong relationships with key stakeholders, acting as a trusted advisor and point of contact for solution-related inquiries. Facilitate workshops and meetings to gather feedback, address concerns, and ensure stakeholder alignment. Ensure solutions meet quality standards and comply with relevant regulations and industry best practices. Conduct regular reviews and audits to identify areas for improvement and implement corrective actions as needed. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and 5+ years applied experience. Strong analytical and problem-solving skills, with the ability to think strategically and critically. Experience of Yardi, Chatham, Argus - Mandatory. Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels. Experience with project management methodologies and tools, such as Agile, Scrum, or Waterfall. Knowledge of real estate industry trends, emerging technologies, and best practices to drive innovation and improvement within the organization. Ability to identify opportunities for process optimization and efficiency gains in real estate operations, implementing changes as appropriate. Preferred Qualifications, Capabilities, and Skills Strong problem-solving skills and ability to work independently or collaboratively within a team. Ability to learn quickly and adapt to new technologies and business requirements. Excellent verbal and written communication skills. Numerate degree or equivalent (Computer Science, Engineering, Finance, Mathematics). About Us JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

Power the Future with Us! Location: India SolarEdge (NASDAQ: SEDG) is a global leader in high-performance smart energy technology, with 5000+ employees, operations in 34 countries, and millions of installations worldwide. Our cutting-edge products include solar inverters, battery storage, EV charging, backup systems, and complete home energy management solutions. We are looking for dedicated and enthusiastic Customer Support Specialists to provide exceptional voice support to our US-based customers while collaborating with regional stakeholders in India. This position requires working exclusively in night shifts (US Time Zone) and providing voice support. What You ll Be Doing Handle inbound calls from US customers with professionalism and patience. Navigate cultural differences and address language barriers with tact and understanding. Troubleshoot and resolve customer issues related to SolarEdge products and services. Collaborate effectively with regional stakeholders to enhance the customer experience. Work closely with the local team in India to improve support processes and share insights. Maintain accurate records of all customer interactions in the CRM system. Contribute to process improvement by identifying trends and providing feedback. Participate in training sessions to stay updated on product knowledge and best practices. Excellent English communication skills (verbal and written). Ability to understand and work with various accents, especially American accents. 1-3 years of experience in customer support, preferably in a voice support role. Strong problem-solving skills and ability to think on your feet. Engineering or technical qualification is a must. Patient and empathetic approach to customer service. Proficiency in CRM systems and basic computer skills. Willingness to work night shifts aligned with US time zones. Familiarity with the tech industry is a plus. Be part of a global leader in clean energy innovation. Opportunities for career growth and skill development. Regular training & upskilling programs. Diverse and inclusive work environment. Transportation and meal allowances for night shift workers. At SolarEdge, we believe our people are our greatest asset. If you re passionate about delivering top-notch customer support and want to be part of the renewable energy revolution, we d love to hear from you! Apply today and take the next step in your career!

Job Title: Pre-Silicon Validation Engineer SoC/IP Job Description: Join the Devices Development Group (DDG), one of Intel s premier System-on-Chip (SoC) design teams, driving innovation in future Intel SoCs and IPs. As a Pre-Silicon Validation Engineer, you will be part of a dynamic team responsible for ensuring the functionality, performance, and reliability of Intel s cutting-edge designs. Key Responsibilities: Validate IP blocks or features at the SoC level, ensuring compliance with design specifications. Develop validation plans and test strategies based on architectural specifications, RTL code, and existing test methodologies. Analyze microarchitecture and debug failures to identify root causes and improve design quality. Develop and utilize various debugging and validation tools to implement validation plans effectively. Participate in silicon debugging, identifying issues and enhancing testing methodologies for future RTL models. Collaborate with IP providers and internal customers to define, develop, and deliver essential infrastructure while addressing issues identified during execution. Qualifications & Requirements: Educational Qualifications: Bachelor s (B.Tech/BS) degree in Computer Science, Computer Engineering, or Electrical Engineering with 5+ years of experience, OR Master s (M.Tech/MS) degree in Computer Science, Computer Engineering, or Electrical Engineering with 3+ years of experience. Technical Skills & Experience: Minimum 2 years of experience in IP or SoC development, verification, or integration using SystemVerilog and UVM (Universal Verification Methodology). Minimum 2 years of experience in writing validation plans and developing software to execute those plans. Minimum 2 years of experience with object-oriented programming languages. Minimum 2 years of experience working with SystemVerilog and UVM. Minimum 1 year of experience with UNIX/Linux environments. Exposure to Graphics Verification and/or Security Verification is a plus. Preferred Qualifications: Minimum 1 year of experience with computer architecture. Minimum 2 years of experience in validation or testing, particularly in silicon design teams. About the Client Computing Group (CCG): The Client Computing Group (CCG) is at the forefront of Intel s PC product and platform development, spanning notebooks, desktops, 2-in-1s, and all-in-one devices. Through strategic partnerships across the industry, CCG delivers innovative computing experiences that empower users to create, connect, and collaborate. As Intel s largest business unit, CCG drives innovation, scalability, and IP development, helping the company fulfill its mission of enriching lives through technology. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer, providing fair consideration to all applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under local law. Intel offers a highly competitive total compensation package, which includes: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Professional development opportunities to support career growth.

About Databricks At Databricks, we are driven by our passion for enabling data teams to solve the world s most challenging problems from building the next mode of transportation to accelerating medical breakthroughs. We achieve this by creating the world s leading data and AI infrastructure platform, empowering our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges, whether it s designing next-gen UI/UX for data interaction or scaling services and infrastructure across millions of virtual machines. And we re just getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will be at the forefront of building infrastructure and products at scale for the Databricks platform. You will lead a talented team working on complex and highly scalable systems, contributing to multiple domains, including: Resource management infrastructure for big data and machine learning workloads scalable, secure, and cloud-agnostic. Reliable, scalable services and client libraries that handle massive amounts of data across multiple regions and cloud providers. Developer tools for operating services across different clouds and environments. Services and infrastructure at the intersection of machine learning and distributed systems. The Impact You Will Have Build and lead an exceptional engineering team by hiring and retaining top talent. Ensure high technical standards through robust processes (e.g., architecture reviews, testing) and foster a culture of engineering excellence. Define and execute long-term roadmaps, collaborating with engineering and product leadership. Coordinate execution and unblock cross-team projects, ensuring alignment and timely delivery. What We Look For 10+ years of experience with large-scale distributed systems, including strong expertise in testing, monitoring, and defining SLAs. Proven experience as a Software Engineering Leader, building and scaling engineering teams from the ground up. Strong technical background, with extensive experience managing high-performing software engineering teams. Proven ability to partner with Product Management, Sales, and Customers to develop innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by more than 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, Databricks is headquartered in San Francisco with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.

At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark , Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies, timely & accurate billing, cost optimization tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent set of platforms to enable all Databricks products to reach customers quickly, and sustainably. As the first Engineering Manager for Money at Databricks India, you will be key to building a base for one of Databricks most central engineering orgs. You will own critical components that form the backbone of our business, starting with Databricks resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers. The impact you will have: Hire great engineers to build an outstanding team and support their career development by providing clear and timely feedback Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence) Work with engineering and product leadership to build a long-term roadmap Coordinate execution and collaborate across teams to successfully deliver cross-cutting strategic projects What we look for: 10+ years of extensive experience with large-scale distributed systems alongside processes around testing, monitoring, SLAs etc 5+ years of engineering management experience, building, managing and mentoring high-performing software engineering teams Demonstrated success in collaborating with multiple cross-functional stakeholders to align system features and architecture, to deliver impactful platform projects Experience in developing and implementing proactive mechanisms for failure detection and incident prevention Excellent leadership, communication, and project management skills BS (or higher) in Computer Science, or a related field 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. Qualification : BS (or higher) in Computer Science, or a related field.

About Databricks At Databricks, we are passionate about empowering data teams to solve the world s toughest challenges from creating the next mode of transportation to accelerating medical breakthroughs. We build and run the world s best data and AI infrastructure platform, enabling our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges whether it's designing next-gen UI/UX for interacting with data or scaling our services and infrastructure across millions of virtual machines. And we re only getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will lead a team of talented engineers to build infrastructure and products at scale for the Databricks platform. Our teams work across diverse domains, including: Resource Management Infrastructure: Power big data and machine learning workloads on a scalable, secure, and cloud-agnostic platform. Reliable, Scalable Services and Client Libraries: Handle massive amounts of data across multiple regions and cloud providers. Developer Tools: Help Databricks engineers operate services across different clouds and environments. Services and Infrastructure at the Intersection of Machine Learning and Distributed Systems. The Impact You Will Have Hire and grow a world-class engineering team, fostering a supportive and collaborative environment. Support engineers career development, providing regular feedback and cultivating future engineering leaders. Ensure high technical standards by implementing effective processes (e.g., architecture reviews, testing) and promoting a culture of engineering excellence. Collaborate with engineering and product leadership to define and execute long-term roadmaps. Coordinate execution and unblock cross-team projects, ensuring timely delivery and alignment with business objectives. What We Look For 12+ years of experience with large-scale distributed systems, including expertise in testing, monitoring, and defining SLAs. Proven track record as a Software Engineering Leader, with experience building and scaling engineering teams from the ground up. Extensive experience managing high-performing software engineering teams. Strong collaboration skills to partner with Product Management, Sales, and Customers in developing innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by over 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and more than 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Headquartered in San Francisco, Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.

About Nutanix At Nutanix, we believe in being Hungry, Humble, Honest, with Heart core values that define who we are and how we work. We push boundaries, put our customers first, and collaborate to solve the toughest technical challenges in innovative ways. The Opportunity Join a team of highly talented engineers spread across different geographies and experience levels. In this role, you'll work on cutting-edge technology, mentor rising talent, and help shape the future of our products. The most successful candidate will: Constantly improve the product by learning from customer feedback and exploring beyond existing technologies. Devise data-backed solutions with solid research and evidence. Communicate effectively with a geographically diverse audience, using strong writing and presentation skills. Engage in design discussions beyond your comfort zone, learning and growing on the go. Mentor junior engineers, nurturing their curiosity and encouraging growth. Assist with customer escalations when needed, reflecting our commitment to putting customers first. Collaborate with open-source communities, contributing product improvements to community projects. About the Team You ll be reporting to Prerna Saxena, our Senior Engineering Manager who has been with Nutanix since 2015. Prerna leads a supportive and collaborative team of 9 engineers, dedicated to helping each other grow and succeed. What the Team Says: "The team is an amazing group to work with supportive, collaborative, and all-around awesome. You'll find yourself fitting right in and enjoying the camaraderie and teamwork." How We Work: We operate in a hybrid work environment, with in-person team meetings twice a week to brainstorm, connect, and stay aligned. This balance of remote flexibility and in-office collaboration creates a dynamic and productive environment. Your Role As a Senior Software Engineer, you will: Apply rock-solid OS/systems fundamentals to drive design and implementation. Debug and write low-level code for hardware architectures, preferably x86. Write and maintain enterprise-quality code. Use top-down thinking to break down abstract concepts into actionable tasks. Deliver features with proven experience in building scalable, reliable enterprise software. What You Bring Bachelor s or Master s degree in Computer Science or equivalent. 8+ years of experience building enterprise-grade software. Strong knowledge of x86 virtualization and the KVM stack. Experience with Linux kernel/virtualization stack is a big plus. Proven track record of feature delivery in large, complex projects. Work Arrangement Hybrid: This role blends the flexibility of remote work with the advantages of in-person collaboration. Most roles require 2 3 in-office days per week, but specific team norms may vary. Qualification : Bachelor's/Masters degree in Computer Science or equivalent.

Role Overview: We are seeking a Mediation Software Engineer with expertise in Mediation Zone, Oracle DB, and strong Linux and SQL skills. The ideal candidate will have experience designing mediation workflows, developing low-level designs, and working with telecom billing systems and network feeds. Skills Required: Mediation Product: Proficiency in Mediation Zone with knowledge of offline and online mediation processes. Database Knowledge: Experience with Oracle DB. Proficiency in APL/UFDL, Linux, and SQL, with the ability to design templates and patterns. Telecom experience, including familiarity with billing systems and network feeds, is preferable. Roles & Responsibilities: Attend workshops with IT teams to gather and analyze development requirements. Develop low-level designs, update design templates, and maintain operational documentation for mediation services. Design mediation workflows, adhering to standards and defining business logic and data validation rules. Conduct design review walk-throughs with stakeholders. Act as the primary point of contact for the development team on mediation services. Support the testing team by resolving design-related queries, reviewing test plans, and validating test results during various testing phases (UAT, FAT). Create acceptance criteria as part of the requirements documentation to guide developers and testers in creating test cases and validating outputs against business requirements.