Top Software Engineer Jobs in Pune

Develop business-critical features for media and web delivery products. Translate high-level designs into scalable, secure, maintainable software; make performance and architecture decisions; collaborate across engineering, product, architecture, and QA teams; and deliver implementations on strict schedules.

Design, develop, and maintain scalable cloud-native software and observability platform capabilities. Own end-to-end feature delivery, troubleshoot complex defects and performance issues, conduct root cause analysis, and improve reliability. Build CI/CD pipelines, automation frameworks, containerized deployments, and Kubernetes solutions. Collaborate with architects, product owners, and engineering teams in Agile/Scrum environments while applying modern software practices and AI-assisted development tools.

Designs, builds, and optimizes enterprise-scale software systems and cloud platforms. Develops infrastructure as code with Terraform, automates infrastructure using scripting, and implements CI/CD pipelines. Applies DevSecOps and SRE practices, including monitoring, incident management, and performance tuning. Integrates generative AI into engineering workflows and leads architectural and technical decisions across AWS, Azure, and GCP environments while collaborating with stakeholders and technical teams.

Design, develop, test, and maintain scalable enterprise SaaS software, including services, APIs, integrations, and platform components. Participate in technical design, code reviews, troubleshooting, production support, and reliability improvements. Collaborate with product, QA, UX/UI, operations, and engineering teams to deliver roadmap commitments. Apply agile development, CI/CD, automated testing, DevOps, security, observability, and AI-assisted development practices.

The Software Engineer will design, code, and test features, enhance applications, conduct code reviews, and develop data models while collaborating with the team.

Design, develop, and maintain cloud-native microservices in Java; deploy containerized applications on AWS EKS; work with Aurora/PostgreSQL, Redis; troubleshoot production issues; contribute to architecture and CI/CD.

Build and deliver full-stack features for agency management, onboarding, and billing systems. Develop scalable APIs, microservices, integrations, data models, queries, and modern frontend workflows. Own features through planning, implementation, testing, deployment, monitoring, and production support. Collaborate with product, design, and engineering teams; troubleshoot issues using observability tools; contribute to code reviews, incident resolution, security, reliability, and AI-assisted development practices.

Design, develop, test, deploy, operate, and improve high-scale cloud-native applications using Java, Spring Boot, microservices, and modern software practices. Integrate systems across teams, contribute to architecture and technology roadmaps, troubleshoot production issues, manage project priorities, and participate in Agile ceremonies. The role also involves developing scalable data solutions, collaborating on access and scalability challenges, and supporting CI/CD and infrastructure-as-code deployments.

Early-career software engineer who develops, tests, debugs, and maintains cloud-based IT operations and device management features. Contributes to backend services, APIs, integrations, automated tests, and CI/CD, participates in code reviews and agile processes, and collaborates across product and operations.

The Lead Software Engineer is responsible for information security, adhering to policies, and ensuring secure access to Mastercard's digital payment systems.

Lead development of scalable microservices and developer tooling using Java/Go (or Python). Design, implement, test, and operate secure, high-performance services, CI/CD pipelines, containerized deployments, and monitoring. Mentor engineers, collaborate cross-functionally, and champion engineering standards, secure SDLC, and developer experience initiatives.

Develop Python-based test frameworks and CI/CD automation for NVIDIA Metropolis AI and video analytics workflows. Build functional, integration, system, and end-to-end validation across cloud, data center, workstation, and edge platforms. Validate distributed microservices, GPU deployments, video search and summarization, AI agents, and computer vision pipelines. Benchmark accuracy, latency, scalability, and reliability while using Docker, Kubernetes, Helm, and AI-powered tools to improve testing, debugging, coverage, and regression analysis.

Develop and optimize on-device AI inference stacks and runtimes for RTX and DGX systems. Collaborate with cross-functional teams to design high-performance, memory-efficient inference pipelines, apply model optimizations (quantization, pruning, distillation), perform system-level debugging and performance tuning, and build infrastructure for performance/accuracy evaluation and production readiness.

Design and optimize on-device AI inference stacks for RTX and DGX systems. Build inference runtimes, optimize models and pipelines (quantization, pruning), perform system-level debugging and performance-accuracy tradeoffs, and collaborate across software, research, architecture, and product teams to ensure production readiness.

Designs and builds cloud-enabled services integrating with the Mastercam desktop product. Responsibilities include developing C#/.NET services on Kubernetes, REST/gRPC/JSON-RPC APIs, messaging and real-time integrations, data contracts, secure architectures, observability, CI/CD, testing, and production operations. The role also provides technical leadership, architecture influence, mentoring, and cross-team collaboration across desktop, cloud, and platform teams.

Develops and maintains automated testing frameworks and suites for Mastercam software throughout the development lifecycle. Responsibilities include unit, UI, regression, and integration testing; analyzing test results; maintaining build systems; documenting procedures and metrics; participating in Agile/Scrum ceremonies and design reviews; conducting code reviews; and improving testing tools, processes, and automation practices.

Designs, develops, and improves secure, scalable enterprise software and infrastructure. The role involves full-stack development, APIs, microservices, cloud platforms, CI/CD, DevOps, automated testing, data engineering, and platform reliability. The engineer collaborates with product and engineering teams, leads complex assignments, mentors colleagues, manages risk and controls, and drives technical excellence across the organization.

Lead the design, development, testing, and maintenance of scalable full-stack applications using .NET Core, Angular, Azure, and SQL Server. Develop APIs and microservices, optimize performance, support CI/CD and cloud deployments, contribute to architecture decisions, troubleshoot production issues, and ensure code quality. Collaborate with product and cross-functional teams in an Agile environment while mentoring junior developers and enhancing existing systems.

Develop, test, and maintain cloud-based platform services and backend features. Contribute to APIs, integrations, and core platform components; participate in code reviews, design, CI/CD, troubleshooting, and production support. Improve reliability, security, scalability, and performance while collaborating with cross-functional teams.

Design, develop, test, and deliver software solutions using Mastercard standards. Lead SDLC activities, mentor team members, handle production incidents and on-call support, coordinate offshore/vendor resources, perform PoCs, and promote QA and security processes.

The role involves building and scaling the Acceldata Open Data Platform, focusing on observability, coding, debugging, and collaborating with teams and the open-source community.

Design, develop, and deliver scalable, secure software using Java and Spring ecosystem. Collaborate with cross-functional teams, participate in code reviews, implement unit testing and secure coding practices, and contribute to infrastructure and deployment pipelines. May lead or supervise team members and influence technical decisions. Role based in Pune.

Build and productionize distributed data infrastructure for Onehouse’s managed lakehouse platform. Responsibilities include developing Apache Hudi transactional capabilities, concurrency control, indexing, metadata and data-access systems, and optimization algorithms for distributed processing on Kubernetes. The role involves analyzing complex data, prototyping performance improvements, collaborating with engineers, and safely deploying solutions. Candidates should bring strong object-oriented programming, distributed systems, algorithm, and relational database expertise.

Design, develop, document, and test embedded software for safety-critical highway and automotive applications. Responsibilities include creating software and system test plans, testing embedded code, documenting work according to APQP standards, developing new products, collaborating with hardware and software engineers, supporting quotes, and interfacing with customers. The role requires strong C and C++ skills, embedded development experience, debugging, emulation, CAN, UDS, bootloader, and automotive cybersecurity knowledge.

Provides technical leadership for cloud-native application and platform development. Designs scalable architectures, microservices, event-driven systems, and secure solutions using .NET, cloud platforms, Kubernetes, and related technologies. Leads engineering teams, technical initiatives, project delivery, DevOps adoption, automated testing, compliance, and stakeholder collaboration. Champions AI-assisted development tools and evaluates emerging technologies.