Top Software Engineer Jobs in Pune

Drives power, performance, and performance-per-watt analysis for SoC and Windows on ARM systems. Builds automated power measurement infrastructure, analyzes telemetry and firmware traces, optimizes low-power states and battery-life scenarios, and collaborates with hardware, firmware, OS, and driver teams from pre-silicon modeling through post-silicon validation. Develops visualizations and reports to identify regressions and recommend system optimizations.

Develop and maintain board support package components for SoC and GPU platforms, including bootloaders, device drivers, and kernels. Bring up new SoC and GPU architectures, solve product-level issues, and integrate BSPs with OEM platforms. Collaborate across hardware and software teams while contributing to operating-system-agnostic embedded solutions. The role requires expertise in embedded systems, SoC architecture, and BSP development, with UEFI and EC experience preferred.

Develop and deliver high-quality software solutions for Mastercard Send using agile methodologies. Responsibilities include designing technical solutions, collaborating with product managers and architects, creating design documents and proofs of concept, developing consumer-facing products, and conducting code reviews across scrum teams. The role requires strong Java and enterprise development expertise, cloud-native knowledge, and the ability to learn and contribute to the platform.

Build and maintain web and mobile systems supporting field-worker onboarding, device assignment, attendance, data collection, uploads, payments, dashboards, and operational workflows. Integrate storage and data-quality systems, improve reliability under poor connectivity, automate manual processes, monitor deployments, and troubleshoot production issues. The role partners closely with founders and operations teams, owning features end to end across frontend, backend, infrastructure, testing, deployment, and support.

Owns and develops critical Windows client connector service components, including RPC, user sessions, data pipelines, telemetry, and tunneling subsystems. Designs features, resolves complex production issues involving crashes, race conditions, lifetime bugs, and synchronization, and improves service reliability and maintainability. The role also addresses VDI workflows, reviews code, mentors engineers, and supports enterprise endpoint product delivery.

Develop system software, tools, and infrastructure for validating and productizing next-generation graphics and computing processors. Collaborate with architecture, hardware, and driver teams; assess hardware features; create manufacturing diagnostics; and debug robust solutions using operating systems, algorithms, and computer architecture expertise.

Leads multiple software engineering teams or a complex engineering domain, setting priorities, ensuring delivery outcomes, guiding architecture and DevOps adoption, managing risks and dependencies, and developing engineering talent. Partners with architecture, DevOps, AI, and enablement leaders to shape enterprise engineering practices, governance, investment decisions, and scalable software solutions.

Own end-to-end development of web and AI features, including conversational voice and email agents, language-model orchestration, retrieval, evaluation frameworks, monitoring, and production releases. Build across Python and TypeScript/React while balancing customer needs, product priorities, performance, latency, and cost. The role requires autonomous product judgment and experience taking AI systems into production.

Owns end-to-end product features across the full stack, including conversational voice and email AI agents, LLM tool orchestration, deterministic safeguards, evaluation frameworks, vector search, monitoring, tracing, and staged production releases. The role requires strong product judgment, system-design skills, real-time processing experience, and independent execution in a remote India-based environment.

Software Engineer II responsible for the development, testing, and maintenance of software solutions, while adhering to best practices and standards. Collaborates with teams to address business needs and improve processes.

The Software Engineer II will develop high-quality, reusable code using Java and Spring Boot, focusing on object-oriented principles to create scalable microservices in a cloud-based CICD environment while fostering teamwork in an Agile setting.

Develop software solutions for Mastercard's fraud prevention platform, participate in design and development tasks, and mentor team members while ensuring high quality and performance standards.

Design and scale cloud and Kubernetes infrastructure, distributed systems, CI/CD, observability, and deployment tooling. Build production-grade AI agents for infrastructure and engineering workflows, including tool use, evaluation, permissions, guardrails, and failure handling. Improve reliability, performance, and cloud efficiency; troubleshoot across application and infrastructure layers; mentor engineers; document architecture; and participate in on-call operations.

Build production software for automated GPU and inference cluster provisioning. Design declarative APIs, control planes, state machines, reconciliation loops, durable workflows, and self-healing systems that manage hardware from discovery through deployment, operation, repair, and decommissioning. Partner with inference and ML platform teams to model cluster topology and scheduling requirements. Own reliability, testing, CI/CD, deployment, and production operations for the platform.

Senior Software Engineer responsible for maintaining compatibility and stability of T2000/T6391 system software during Visual Studio and MSVC upgrades. Duties include build verification, compiler and runtime issue resolution, Windows compatibility testing, TPIDE test development, GUI automation, CI/CD test framework maintenance, regression testing, and process improvement. The role collaborates with international development teams and supports long-term platform quality and release efficiency.

Maintain Unix/Linux systems, build and manage CI/CD pipelines, administer artifact repositories, develop automation scripts, and support cloud and containerized environments using platforms such as AWS, Azure, Google Cloud, Docker, and Kubernetes. The role also requires familiarity with RabbitMQ and Kafka.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Develop and architect Lattice’s FPGA EDA toolchain, including synthesis, place and route, and timing analysis. Collaborate across engineering teams to deliver a standards-compliant, reliable, and high-performance tool suite. Translate marketing requirements into technical specifications, own specification and planning processes, improve development methodologies, and lead projects and technical discussions.

Designs, develops, troubleshoots, and debugs software for enhancements and new products. Builds maintainable, tested, and documented code using C++, Java, React, REST services, Maven, and CI technologies. Applies algorithms, data structures, hardware principles, and software design expertise to solve complex technical problems. Participates in agile ceremonies, estimates work, provides test coverage, and develops domain expertise.

Build and maintain full-stack advertising features across customer-facing and internal platforms. Develop data services, visualizations, keyword-level insights, and actionable recommendations that help Merchants and Brands evaluate advertising performance and investment. Translate complex business logic into clear product experiences, integrate data workflows, run proofs of concept, improve deployment processes, and uphold testing, monitoring, reliability, and maintainability standards.

Leads the design, development, deployment, and production support of complex software systems. Makes system-level architecture decisions, ensures scalability, reliability, security, observability, and compliance, and uses AI-assisted tools responsibly. Mentors engineers, conducts design and code reviews, resolves technical blockers, improves engineering practices, and collaborates with product, architecture, security, cloud operations, and quality teams. The role requires hands-on programming, distributed-systems expertise, automated testing, CI/CD, operational readiness, and production troubleshooting.

Senior backend-focused engineer responsible for designing and delivering features in Go and React, building scalable distributed architectures, mentoring teammates, coordinating with product and business stakeholders, instrumenting production systems, and leading small teams to ship high-quality APIs and services.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Build scalable, low-latency backend APIs, event-driven services, model-serving layers, and integrations supporting real-time and batch personalization and recommendation experiences. Design reliable, secure, observable distributed systems using Java and Spring Boot, optimize performance and operational efficiency, and integrate LLM and AI services into production applications. Collaborate with engineering leadership and use AI-assisted development tools to improve delivery and code quality.

Designs and executes functional, integration, API, automated, exploratory, and end-to-end tests for personalization, recommendation, experimentation, and consumer intelligence capabilities. Builds test suites, validates AI-driven outputs and consumer journeys, manages test data, performs cross-browser testing, partners with engineering and product teams, and improves automation coverage, regression efficiency, and defect detection.