Top Software Engineer Jobs in Pune

Lead the architecture and delivery of enterprise backend services, APIs, distributed systems, cloud-native applications, and agentic AI workflows. Design scalable solutions using Java, Spring Boot, AWS, event-driven architectures, and modern data platforms. Drive modernization, observability, security, reliability, automation, and engineering standards. Mentor engineers, lead technical initiatives, influence platform strategy, and collaborate across product, security, operations, and architecture teams.

Develop and maintain scalable cloud-based applications using Java and Spring Boot. Collaborate with product and engineering teams, implement microservices and APIs, ensure security and code quality, and support testing, deployment, monitoring, and incident remediation. Contribute to CI/CD automation, Agile ceremonies, technical documentation, proof-of-concepts, and AI-assisted software development practices. Work with relational and NoSQL databases, containers, DevOps tools, and emerging AI technologies.

Develop, test, deploy, configure, and document secure, scalable software for Mastercard’s authentication and payment security products. Own delivery tasks, collaborate with distributed teams, support software metrics, improve processes, and mentor junior engineers. The role requires Java and Spring Boot expertise, database and web-stack experience, CI/CD implementation, testing practices, and familiarity with cloud, microservices, payment security, and Agile methodologies.

Owns technical product capabilities for Mastercard Transaction Stream and payment processing. Translates business and technical requirements into functional scenarios, validates transaction-switching integrations, analyzes authorization through clearing flows, troubleshoots distributed-system issues, and supports product readiness. Collaborates with Product, Engineering, Architecture, and Business teams while applying expertise in payment messaging, system interfaces, cloud-native architectures, and automation.

Develop secure, scalable full-stack applications using Java, Spring, REST APIs, frontend frameworks, cloud platforms, microservices, and databases. Collaborate with product owners and technical teams on architecture, Agile planning, coding, testing, deployment, and support. Work with Databricks, Spark, ETL pipelines, AI/ML services, containerization, CI/CD, and modern development tools while contributing to application design and user experience.

Develop secure, scalable full-stack applications using Java, Spring, REST APIs, relational databases, and modern frontend frameworks. Responsibilities include designing software, building responsive interfaces, participating in architecture and Agile ceremonies, supporting testing, and collaborating with product and technical teams. The role also involves cloud deployment, microservices, CI/CD, containerization, Databricks and big data workflows, and integrating AI/ML services and development tools.

Develop and validate scalable payment software for Mastercard’s Transaction Stream team. Responsibilities include building Java automation frameworks, conducting unit, functional, integration, and end-to-end testing, improving quality automation, monitoring production issues, supporting microservices and event-driven applications, and leading quality initiatives. The role also involves collaborating with global product, architecture, engineering, vendor, and business teams, conducting proofs of concept, and promoting engineering best practices.

Develop and maintain scalable full-stack applications using Java, Spring Boot, React, REST, gRPC, microservices, databases, and event streaming. Design APIs, user interfaces, automated tests, and optimized database solutions while applying TDD, CI/CD, and AI-assisted engineering. Own initiatives through production, troubleshoot issues, participate in architecture and code reviews, mentor engineers, and promote secure, maintainable, high-performance development practices.

Develop and maintain high-performance mainframe software for Mastercard’s core payments systems, including authorization and clearing. Design solutions, support batch and online development, lead automation and quality initiatives, track project metrics, coordinate distributed teams and vendors, and guide junior talent. The role requires COBOL, DB2, CICS, JCL, Micro Focus COBOL, TWS Scheduler, and DB2 LUW experience, with Java and Spring Boot exposure as an advantage.

Develop scalable software across full-stack, infrastructure, or front-end paths. Design service-oriented architectures, APIs, workflows, algorithms, web applications, data visualizations, and interactive user interfaces. Collaborate on small teams to solve complex problems involving large datasets while building expertise through Mastercard’s 18-month Launch program.

Develop and test high-performance software for Mastercard’s real-time decision management and fraud prevention platform. Drive quality engineering practices, automate acceptance, integration, functional, and non-functional testing, and improve CI/CD and release processes. Collaborate with developers to build reliable, performant, and testable systems using Java, microservices, cloud technologies, and observability tools. Mentor team members while remaining hands-on in development and test automation.

Architect, develop, and maintain scalable SaaS software using C# and .NET. Collaborate with product, design, support, and professional services teams to deliver solutions, resolve customer issues, and improve platform architecture. Lead code reviews, mentor engineers, participate in Agile processes, and drive modernization through microservices, serverless, and event-driven patterns. Integrate third-party APIs and use AI-powered development tools and agent orchestration to improve productivity and code quality.

Designs, builds, tests, and maintains scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Partners with product managers and designers to deliver customer-focused features, improves development processes, reviews code, mentors junior engineers, and collaborates across global teams. The role requires strong Java and modern web development expertise, cloud-native experience, distributed systems knowledge, automated testing skills, and proficiency in agile software engineering.

Build and productionize AI-powered applications, backend services, RAG solutions, MCP integrations, and agentic workflows. Translate requirements into secure, scalable software; establish AI evaluation and validation standards; implement testing, CI/CD, observability, resilience, privacy, compliance, and Responsible AI controls. Collaborate with cross-functional teams to deliver reliable enterprise solutions in an Agile environment.

Design and maintain Java-based test automation frameworks for Spring Boot microservices. Own API, integration, regression, and end-to-end testing, including Kubernetes deployment validation, migration testing, database verification, contract testing, and CI/CD integration. Validate resilience, asynchronous processing, regional configurations, service integrations, and production readiness. Collaborate with development and platform teams to resolve defects and improve automation coverage, reliability, and quality.

Design, build, and operate production AI services, agentic workflows, and LLM-powered features. Responsibilities include developing Python APIs and microservices, implementing RAG and vector search, optimizing model inference, integrating event-driven systems, deploying services on Docker and Kubernetes, monitoring reliability, managing CI/CD and testing, and partnering with frontend teams to deliver end-to-end AI products.

Lead Software Development Engineer responsible for designing, developing, integrating, testing, and supporting high-performance Java applications. The role includes enterprise integrations, performance engineering, code reviews, CI/CD, quality assurance, research into development tools, and mentoring junior engineers. The position also requires applying AI-assisted development tools and agentic workflows while validating generated outputs for security, quality, compliance, and production readiness.

Leads architecture and design for scalable, highly available payment services. Responsibilities include creating high-level and low-level designs, developing critical components, preparing proofs of concept, conducting code reviews, mentoring engineers, documenting designs, managing source control operations, evaluating technologies, and improving engineering processes. The role requires expertise in Java, Spring, databases, NoSQL, messaging, microservices, cloud deployment, testing, Agile practices, security concepts, and enterprise application design.

Lead test automation, SRE, DevOps, and infrastructure automation initiatives for Mastercard’s cloud-native Priceless Platform. Build automated testing frameworks, CI/CD integrations, observability, monitoring, and deployment automation. Improve reliability, scalability, security, and release velocity through chaos engineering, performance testing, capacity planning, incident response, and disaster recovery practices. Mentor engineers, lead technical reviews, support production systems, and foster shared ownership and continuous improvement.

Develop and maintain software installation packages and deployment solutions for Windows and Linux. Build installation tools, scripts, automated tests, and CI/CD integrations using C#, C++, PowerShell, Bash, InstallShield, containers, and version control systems. Troubleshoot deployment issues, validate AI-generated code, collaborate with development, QA, and DevOps teams, and follow Agile software engineering practices.

Develop, test, debug, and maintain desktop or web applications, services, APIs, and software components. Build unit and integration tests, troubleshoot defects, participate in code reviews, collaborate with QA, DevOps, product, and engineering teams, and support CI/CD pipelines. The role requires applying object-oriented programming, Agile practices, software development lifecycle knowledge, and AI-assisted development tools while validating generated code and continuously learning new technologies.

Develop and maintain software installation packages and deployment solutions for Windows and Linux. Create installation scripts and automation using C#, C++, PowerShell, and Bash; test upgrades, configuration, and deployment functionality; integrate solutions with version control and CI/CD pipelines; troubleshoot issues; and collaborate with developers, QA, and DevOps teams in an Agile environment. The role also involves responsibly using and validating AI-assisted development tools.

Develop and maintain software installation packages and deployment solutions for Windows and Linux. Create installation scripts using C#, C++, PowerShell, and Bash; test installation, upgrades, configuration, and deployment functionality; integrate processes with version control and CI/CD pipelines; troubleshoot issues; and collaborate with development, QA, and DevOps teams. The role also involves using and validating AI-assisted development tools and participating in Agile engineering practices.

Designs and maintains UI, API, and integration test automation for an AI-driven legal operations platform. Develops Playwright and JavaScript frameworks, integrates testing with Allure and Jenkins CI/CD pipelines, analyzes failures, performs root cause analysis, establishes test data strategies and quality metrics, reviews automation code, and collaborates with engineering and product teams. The role also evaluates AI outputs, builds adversarial datasets, and supports agent and MCP testing.

Build and operate backend services for AI-powered automation, including event processing, case tracking, agent execution, MCP tools, approval workflows, evaluations, observability, safety controls, and production support. The role requires translating business processes into reliable systems, contributing across service boundaries, supporting on-call operations, and delivering LLM-powered features with measurable performance and secure execution.