Top Software Engineer Jobs in India

Designs, develops, tests, integrates, and maintains software for wireless and Android system-level products. Establishes software requirements and architecture, optimizes WLAN drivers, firmware, and BSP designs, integrates emerging Wi-Fi technologies, and troubleshoots networking solutions. Leads code reviews, documentation, quality inspections, and technical problem-solving while mentoring junior staff and collaborating with internal teams, customers, and external stakeholders.

Build an agentic AI harness for a conversational interface using frontier or open-weight LLMs. Develop agentic platforms using AI agents, MCP tools, skills, semantic retrieval, memory, monitoring, and workflow automation. Design scalable APIs and integrations, implement safe and performant solutions, collaborate across Product and QA, participate in design reviews, and support production deployment using modern engineering practices.

Lead end-to-end quality assurance for monthly Android-based device releases. Mentor test engineers, develop test plans and strategies, and ensure functional, performance, interoperability, and benchmarking coverage. Drive adoption of AI and generative AI tools for test-case and strategy generation. Collaborate across engineering, product, and program teams to integrate testing throughout the SDLC while improving tools, processes, and methodologies.

Build, evaluate, and deploy statistical and machine learning solutions for insurance, product, underwriting, and risk applications. Responsibilities include GLM and GBM modeling, data validation, vendor coordination, model monitoring, A/B testing, automation, governance, documentation, and communicating analytical findings to technical and business stakeholders. The role requires Python, SQL, statistical modeling, machine learning lifecycle knowledge, version control, reproducible workflows, and familiarity with cloud ML platforms and responsible modeling practices.

Designs, builds, and maintains Rust-based backend microservices and REST APIs for an observability platform. Translates product requirements into technical designs, addresses performance and scalability issues in distributed confidential-computing systems, evolves database architecture, and promotes code quality, stability, and security. Collaborates with cross-functional teams to optimize cloud security solutions using cloud platforms, CI/CD, Docker, and Kubernetes.

Develop and maintain AI-assisted development capabilities for the Eclipse-based SmarTest semiconductor testing environment. Integrate and optimize GitHub Copilot, resolve Eclipse and integration defects, implement customer-specific features, and perform testing and quality assurance. Translate customer requirements into technical solutions, provide technical assistance, evaluate changes in AI and Eclipse technologies, and collaborate with Microsoft, Advantest teams, and external partners to improve developer productivity and user experience.

Lead architecture, development, testing, deployment, and operation of cloud-native observability and AI capabilities. Mentor software engineers, conduct design and code reviews, ensure reliability and maintainability, oversee performance testing, manage technical debt, and guide AWS-based solutions using observability platforms, infrastructure as code, CI/CD, and AI-enabled operational workflows.

Develop and deploy research-driven ML/AI solutions alongside researchers and engineers. Tackle open problems, build scalable ML systems and prototypes, and mentor/lead interns and teammates to meet project goals.

Build and maintain scalable enterprise software, primarily front-end applications within the Angular ecosystem. Design reusable components, integrate APIs and backend services, and support multi-tenancy and high availability. Participate in the full software development lifecycle, including design, testing, deployment, and maintenance. Collaborate with architecture and development teams in an agile environment while contributing to new products and enhancements.

Automate cloud infrastructure and SaaS platform testing while supporting SRE, developer productivity, and operations teams. Develop functional, non-functional, end-to-end, and system test automation, tools, test plans, configurations, and lab environments. Diagnose defects with developers, improve testing processes, provide quality assurance services, and participate in on-call support. The role requires cloud, Kubernetes, Terraform, monitoring, Linux, database, performance testing, and scalable systems expertise.

Provides production and test-environment support for Java applications, including incident response, troubleshooting, monitoring, security remediation, root-cause analysis, and service recovery. Designs, develops, tests, debugs, and deploys Java services using Kubernetes. Collaborates with engineers, analysts, and stakeholders on application stability, upgrades, disaster recovery, and continuous improvement. Participates in on-call support and after-hours team rotation.

Leads software engineering for Mastercard’s global money transfer platform. Responsibilities include designing, coding, testing, securing, integrating, troubleshooting, and deploying services; improving CI/CD automation, architecture, reliability, and code quality; supporting agile prioritization and product acceptance; conducting postmortems and technical interviews; and mentoring engineers across globally distributed teams.

Develop and productize NVIDIA DRIVE OS software for automotive platforms. Responsibilities include shaping AUTOSAR architecture, evaluating software and hardware designs, prototyping, profiling, safety analysis, data analysis, and influencing next-generation architectures. The engineer will also resolve complex cross-team technical issues and work with AUTOSAR stacks, MCALs, CDDs, and software components across multiple microcontroller platforms.

Lead development of scalable Python applications with Flask and FastAPI, build CI/CD automation, manage Docker and Kubernetes environments, implement infrastructure as code, and oversee cloud and on-premises infrastructure. Responsibilities include REST API integration, monitoring with Grafana and Prometheus, production incident response, root-cause analysis, code reviews, architecture decisions, technical leadership, and global on-call support.

Develop and execute feature, functional, integration, and regression tests for Cisco SD-WAN and routing features. Build and maintain test automation using Python and PyATS, vTest, or PyTest. Validate networking functionality across Linux environments, L2/L3 concepts, routing protocols, and SD-WAN implementations. This is an on-site Bengaluru role requiring at least three years of experience and a maximum 15-day notice period.

Design, build, integrate, and operate Network Operational Support Systems across cloud and on-premises environments. Develop high-quality Java and Python microservices, REST APIs, integrations, and automation for network fulfillment, assurance, observability, and AIOps. Apply TDD, CI/CD, GitOps, SRE, and agile practices; define service reliability metrics; troubleshoot production issues; validate non-functional requirements; and collaborate with stakeholders and product owners on roadmap delivery.

Lead the design, development, and deployment of scalable integrations using Ruby on Rails and Workato. Write tested code, conduct code reviews, mentor junior engineers, troubleshoot complex issues, collaborate across teams, and contribute to architecture and technical strategy. The role also involves front-end and back-end integration, database optimization, search technologies, and continuous delivery practices.

Build and operate Cognite’s serverless execution engine and workflow orchestration platform. Responsibilities include designing distributed, multi-tenant systems; owning reliability, scalability, APIs, observability, CI/CD, testing, and performance; and supporting ML workloads, workflow orchestration, data storage, and event-driven architectures across multiple clouds. The role also involves optimizing costs and enabling industrial AI and contextualization pipelines.

Lead production systems for Context Services, translating ML, deep learning, and LLM solutions into reliable software services. Design scalable, low-latency APIs and architectures; build model-serving, vector database, and agentic workflow frameworks; manage state and prompt tracking; integrate with platform infrastructure; and collaborate with product, architecture, and AI teams.

Validates customer networking solutions through system-level testing, automation, test lab configuration, and solution certification. Develops test plans and automated cases for feature, scale, migration, performance, interoperability, and end-to-end validation. Troubleshoots Junos/EVO networking devices, performs root cause analysis, identifies product defects and coverage gaps, and collaborates with engineering, field teams, sales engineers, and customers. Produces technical reports and presentations while improving testing methodologies and leveraging AI-powered testing tools.

Validates customer-focused Service Provider and Cloud networking solutions through system testing, automation, performance and scale testing, troubleshooting, and release certification. Designs test strategies, builds representative lab environments, develops Python or Robot Framework automation, analyzes results, performs root-cause analysis, and collaborates with customers, field engineering, and product teams. Produces technical reports and presentations while improving testing processes and leveraging AI-powered testing tools.

Develop and maintain enterprise software products using Java and Angular. Evaluate requirements, design solutions, write automated unit tests, document implementations, and collaborate with developers, analysts, project managers, and QA. Mentor engineers, manage a small scrum team, participate in technical reviews, analyze systems, and recommend operational improvements. The role requires strong JavaScript and TypeScript expertise, Angular framework experience, cross-browser knowledge, and familiarity with modern web development tools.

Design, develop, test, document, and maintain enterprise software throughout its lifecycle. Evaluate requirements and solutions, create system specifications, conduct systems analysis, and ensure adherence to architecture and engineering standards. Collaborate with developers, analysts, project managers, and QA; mentor software engineers; participate in technical reviews; and deliver unit-tested, documented solutions. The role requires strong object-oriented design, enterprise computing, data platform experience, and proficiency with C#/.NET, WebAPI, Entity Framework, frontend frameworks, and T-SQL.

Leads enterprise software architecture and development, collaborating with executives, product management, IT, DevOps, and engineering teams. Defines system requirements, evaluates technologies and design alternatives, partitions complex systems, and ensures robust architecture. Provides technical guidance, documentation, governance, reviews, troubleshooting, and mentoring. Contributes to core code, API and web application development, infrastructure sizing, integration, and RFP responses while supporting global agile teams.

Designs, develops, tests, documents, and supports enterprise software solutions across the application lifecycle. Collaborates with developers, analysts, project managers, and QA; evaluates requirements and feasibility; establishes system specifications; performs systems analysis; and recommends improvements. The role mentors software engineers, promotes engineering standards, conducts technical reviews, and delivers reviewed, documented, unit-tested solutions using C#/.NET, WebAPI, Entity Framework, Angular, and T-SQL.