Top Software Engineer Jobs in Pune

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.

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, 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.

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.

Tests iGaming software and live game events through scripted and ad hoc testing. Identifies, reproduces, documents, and tracks defects in JIRA, verifies functionality against design, uses debugging and administrative tools, and prepares status reports. The role collaborates with global stakeholders and development, design, and art teams while maintaining test cases, documentation, and issue records.

Develop and maintain ALM software products, designing features, preparing functional specifications and design notes, estimating work, and leading technical activities. Write documented Java and web application code, conduct code reviews, create unit and automated tests, and support QA and publications teams. Participate in design reviews, develop prototypes, ensure delivery schedules, communicate with customers, and share technical knowledge across the team.

Responsible for leading high-quality software development for payment applications using Java, Spring Boot, and AWS, focusing on digital payments solutions.

Design and build data pipelines and analytics to extract actionable insights, apply advanced analytics/ML, create dashboards, and drive platform performance, reliability, and DevSecOps for high-throughput payment systems. Collaborate with stakeholders, influence technical strategy, and ensure controls, scalability, and operational resilience.

Lead testing and quality efforts for Mastercard-developed systems by creating test plans, cases and data; perform manual and automated testing; manage defects, report status and metrics; review deliverables and user manuals; enforce testing standards; identify process improvements; mentor team members and coordinate test activities and implementation schedules.

Design, develop, test, and deploy cloud-based SaaS applications; modernize and refactor existing systems; implement CI/CD, containerization, logging, and monitoring; support AWS deployments and SOC2-aligned secure coding; participate in on-call rotation, code reviews, documentation, and cross-functional collaboration to deliver scalable, maintainable features.

Design and develop low-latency, GPU-accelerated video streaming features; optimize encoder and GPU/CPU pipeline performance; build video quality measurement and analysis tools; integrate AI models for real-time video processing and adaptive streaming; and improve reliability, telemetry, and debugging for cloud-based streaming systems.

Responsible for fixing product and security bugs, improving product supportability, debugging complex issues, writing quality Java code, developing Java/JavaScript UI components, integrating REST services, collaborating with support/professional services for L3 escalations, and working with databases, app servers, and monitoring/deployment tools.

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.

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.

Build and maintain scalable data architectures, pipelines, warehouses, and lakes. Develop low-latency applications, distributed systems, processing algorithms, and secure infrastructure and deployment pipelines using C++, Java, Python, messaging platforms, and caching technologies. Collaborate with data scientists on machine learning deployments, advise stakeholders, manage risk and controls, and provide technical leadership and mentoring.

Provides technical leadership across teams by designing scalable, reliable distributed systems, shaping technical strategy, influencing roadmaps, and driving modernization, observability, technical-debt reduction, and reliability initiatives. Leads AI-assisted development adoption, resolves complex technical issues, establishes engineering best practices, and mentors teams. Requires extensive software engineering experience, cloud production operations, and strong computer science fundamentals, with preferred experience in .NET, Rust, C#, JavaScript, microservices, Kubernetes, infrastructure as code, authentication, CI/CD, and secure development.

Provides technical leadership for large-scale distributed systems and platform architecture across multiple teams. Defines technical strategy, drives modernization and technical debt reduction, advances reliability and observability, promotes AI-assisted engineering, and develops shared platform capabilities. The role leads cross-functional initiatives, influences stakeholders without direct authority, mentors senior engineers, and improves scalability, developer productivity, security, and operational excellence.

Design, develop, and maintain integrations connecting Salesforce, ERP, billing, and third-party systems. Translate business requirements into technical specifications, troubleshoot integration issues, optimize performance, and implement error handling and monitoring. Build REST and SOAP integrations using Java, Camunda, and Workato. Improve CI/CD pipelines, automate deployments, maintain documentation, and explore AI agent-driven workflows for business-process automation.

Develop and review BIM software, including Revit plugins and automation tools using C# and Visual Studio. Analyze requirements, update BIM design documentation, coordinate with international teams, support project planning, and improve software quality. The role requires experience with Revit, AutoCAD, BIM modeling, object-oriented programming, LINQ, WinForms, WPF, and BIM standards.

Owns DevOps delivery infrastructure across on-premises, cloud, hybrid edge-cloud, and air-gapped environments. Designs GitLab CI/CD pipelines, manages Docker and Kubernetes platforms, implements Terraform and Ansible infrastructure automation, and supports multi-cloud deployments. Leads release management, security and compliance automation, observability, reliability engineering, and automated rollback strategies. Develops Bash and Python tooling while collaborating with architects, developers, QA, and product teams to improve delivery practices and platform resilience.

Leads full-stack design, development, debugging, testing, and maintenance for Vertiv’s cloud platform supporting remote services. Owns features across the stack, develops reusable components and prototypes, collaborates on architecture and interfaces, estimates work, documents solutions, and mitigates technical risks. The role requires strong React.js, .NET Core, C#, C++, SQL, web services, database, messaging, and IoT experience, with additional exposure to cloud, Docker, microservices, and Python beneficial.

Build and operate scalable full-stack systems for social publishing, social listening, data ingestion, media processing, and AI capabilities. Own features from design through production, including distributed systems, third-party APIs, observability, testing, reliability, and performance. Lead technical initiatives, identify architectural and operational improvements, mentor engineers, and deliver customer-focused backend and frontend experiences.

Build and maintain scalable, production-grade systems; own end-to-end feature delivery; influence architecture; improve reliability, performance, and code quality; collaborate with product; participate in on-call and incident response; follow security best practices for sensitive data.