Top Software Engineer Jobs in India

Develop and maintain scalable full-stack web applications using Angular, Python, .NET, and Azure. Responsibilities include frontend and backend architecture, API integration, application modernization, cloud deployment, CI/CD, security implementation, testing, production support, stakeholder communication, and technical documentation. The role independently delivers solutions aligned with enterprise architecture and supports complex business applications across semiconductor, manufacturing, and supply chain domains.

Develop and maintain enterprise software applications supporting semiconductor technology and data-driven decision-making. Responsibilities include application design, programming, testing, debugging, database integration, workflow development, requirements gathering, and stakeholder collaboration. The role drives adoption of internal software products, owns key applications and projects, coordinates with product and process engineering teams, and delivers scalable, maintainable, and testable code using unit, integration, and end-to-end testing.

Design, develop, validate, debug, and qualify software for controllers and computers in semiconductor equipment. Manage software lifecycles and documentation while collaborating with hardware, firmware, and systems engineers on integration and qualification. The role requires embedded and real-time operating system expertise, custom Windows controller image creation, bootloaders, industrial communication protocols, version control, and strong troubleshooting skills.

Design, develop, test, troubleshoot, and maintain software for semiconductor wafer-fabrication equipment. Gather requirements, implement hardware and device communications over serial, Ethernet, and EtherCAT, diagnose software-hardware integration issues, resolve customer defects, and participate in technical reviews. The role involves embedded and distributed control systems, software lifecycle practices, and collaboration across Lam’s product portfolio.

Designs, develops, maintains, troubleshoots, and debugs software for semiconductor equipment. Leads component development and small-to-medium projects, supports customer escalations, mentors junior engineers, and drives continuous improvement. Applies C, RTOS, hardware interfacing, and complete SDLC practices while developing AI-enabled engineering productivity and equipment diagnostic solutions with strong validation, safety, security, and intellectual-property protections.

Designs, develops, troubleshoots, and debugs software for semiconductor equipment products. Implements customer features, enhances existing applications, resolves software issues, and documents solutions. Collaborates with cross-functional teams to integrate software and hardware, assess compatibility, and support Lam’s product portfolio. The role may include customer-site support and less than 10% travel.

Build and productionize agentic research systems for Global Investment Research. Responsibilities include developing full-stack applications with Java or Python, implementing RAG pipelines and multi-agent workflows, integrating AWS AI and cloud services, creating evaluation and benchmarking suites, monitoring production systems, supporting incidents, writing tests, maintaining CI/CD, and collaborating with business stakeholders in Agile sprints.

Lead SAP ECC to S/4HANA technical conversions across multiple environments. Responsibilities include conversion planning and execution with SUM/DMO, SAP upgrades, migrations, system copies, HANA administration, troubleshooting, cutover planning, connectivity support, and post-conversion validation. The role coordinates cross-functional teams, resolves critical technical issues, mentors junior resources, and provides technical leadership for SAP Basis deliverables.

Owns architecture, design, development, testing, and ongoing support for enterprise applications. Writes Java-based code and unit tests, develops APIs and microservices, participates in Agile delivery, conducts code reviews, refactors systems, supports application availability, and collaborates with product owners on technical requirements, feature prioritization, and platform planning.

Develop and integrate OCP SAI with SONiC, enhance control plane stack, ensure optimal SDK performance, and create automated test tools.

Develop SDK bridging hardware and software for networking. Ensure performance of switch ASICs with a focus on L2/L3 protocols and embedded systems.

Design, develop, test, and maintain scalable full-stack web applications using .NET and React.js. Build APIs, optimize performance, resolve bugs, and contribute to architecture, code reviews, automation, CI/CD, and continuous improvement. Collaborate with product, business, project management, DevOps, QA, and engineering teams to translate requirements into reliable technical solutions. Preferred experience includes Azure or AWS, MongoDB, Elastic Stack, microservices, and CI tooling.

Leads organization-wide software systems architecture and development across multiple platforms. Evaluates technologies, integration strategies, development partners, and standards; improves product quality and reduces failure risk. Provides technical leadership, executive-level influence, mentoring, and consulting across business units. Drives innovation through patents, whitepapers, and deployed software solutions while guiding testing methodologies, debugging, and scalable system design.

Develop and architect scalable AWS cloud-native platforms, serverless applications, APIs, automation tools, and reusable infrastructure components. Lead cloud architecture, DevOps, CI/CD, troubleshooting, security, resiliency, and disaster recovery initiatives. Build self-service portals and multi-region solutions, automate operational processes, guide internal teams, and provide technical leadership across cloud projects. Collaborate with internal departments and service providers while educating teams on cloud and DevOps best practices.

Build and ship Microsoft 365 Copilot Search features using React and TypeScript. Responsibilities include developing performant, accessible, localized interfaces; integrating streaming AI answers and citations; optimizing rendering and latency; implementing telemetry and experimentation; monitoring reliability; participating in on-call support; and collaborating with product, design, and backend engineering teams.

Develops and maintains Java and Spring Boot backend applications and REST APIs within a microservices environment. Responsibilities include writing unit tests with JUnit and Mockito, debugging defects, conducting root-cause analysis, resolving service integration issues, supporting builds and deployments, and collaborating with QA, DevOps, UI, and engineering teams. The role requires end-to-end ownership of assigned tasks, proactive communication, secure coding, and participation in issue resolution and release activities.

Build and operate scalable Java backend services and APIs supporting AI-powered and traditional product capabilities. Integrate LLMs, agents, and retrieval systems into production applications while improving evaluation, monitoring, observability, CI/CD, security, reliability, and performance. The role requires collaboration with AI Engineers, Product Owners, and Cloud Operations teams in a hybrid Bangalore environment.

Leads data engineering teams building scalable advertising and marketing technology platforms. Designs backend and data solutions, applies AI and analytics, translates product requirements into technical specifications, mentors engineers, enforces engineering standards, and oversees testing, deployment, monitoring, and operational excellence. Collaborates with data science, product, and engineering teams to develop analytics pipelines and enable large-scale data applications.

Build, test, and ship scalable software services and infrastructure platforms serving Stripe employees, users, and partners. Responsibilities include roadmap planning, stakeholder collaboration, customer-focused infrastructure development, and debugging production issues across distributed services and technology stack layers. The role requires strong algorithms, data structures, coding, distributed-systems experience, autonomy, collaboration, and generalist adaptability.

Lead the strategy, development, and operation of secure, scalable software and cloud platforms. Manage engineering teams, guide architecture and technical governance, and oversee AWS, OpenShift, and Kubernetes environments. Drive engineering standards, observability, resiliency, risk management, incident escalation, and AI-enabled development practices. Partner with product, operations, risk, compliance, and senior leadership while supporting workforce planning, talent development, and platform investment decisions.

Develop and maintain reusable automated tests using Playwright and TypeScript, while also performing manual and exploratory testing. Verify data with SQL, conduct API and non-functional testing, and integrate quality practices into Agile and Scrum development cycles. Collaborate with product managers and scrum teams, challenge acceptance criteria and test coverage, identify risks, and provide technical mentorship to improve quality and reduce manual testing efforts.

Leads software engineering teams in designing, building, testing, documenting, and operating digital products. Responsibilities include architecture, technical leadership, product discovery, backlog planning, CI/CD practices, production ownership, cross-product collaboration, stakeholder alignment, and team development. The role manages medium to large teams, advises direct reports, resolves technical issues, and drives product success through business KPIs.

Build and maintain Azure DevOps CI/CD pipelines, automate Azure and Microsoft Fabric regional and sovereign-cloud deployments, and develop infrastructure-as-code tooling using PowerShell, Python, Azure CLI, REST APIs, and ARM/Bicep. Improve deployment reliability, monitoring, validation, and zero-touch automation while troubleshooting networking, authentication, certificates, and infrastructure issues. Support data integration services including Azure Data Factory, Fabric Data Integration, ADMS, and Airflow, and participate in production incident investigations.

Design and deploy production-grade generative AI and agentic AI applications. Build Python full-stack systems, LLM-powered solutions, RAG workflows, AI agents, APIs, microservices, and database integrations. Deploy cloud-native applications on AWS while establishing evaluation, monitoring, guardrails, governance, security, and performance practices. Collaborate with cross-functional teams to deliver reliable AI products and maintain high standards for code quality and documentation.

Develop and maintain scalable backend services and APIs while integrating Generative AI models into enterprise applications. Responsibilities include fine-tuning LLMs, building microservices, implementing RAG pipelines, managing CI/CD, Docker, Kubernetes, and cloud deployments, and improving system reliability. The role also involves testing, code reviews, performance monitoring, and collaboration across engineering teams.