Top Backend Jobs in Pune

Develop high-quality software solutions for Mastercard's Decision Management Platform, focussing on fraud prevention and cardholder identity verification. Responsibilities include SDLC management, design collaboration, and mentoring other team members.

Design and implement scalable backend services, lead full software lifecycle, write design docs, mentor engineers, collaborate cross-functionally, improve performance and quality, and integrate AI tools to boost development productivity.

Lead and manage engineering teams, providing guidance and mentorship to ensure delivery of high-quality software solutions while fostering innovation and collaboration.

Responsible for developing software solutions, leading system development activities, ensuring quality control, and mentoring team members while adhering to standards and best practices.

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.

Provide technical leadership and hands-on engineering across AI, data, backend, and frontend systems. Drive architecture, remove technical risks, set engineering standards, mentor senior engineers, and influence cross-team technical direction.

Lead cross-functional backend projects, provide technical leadership to product teams, deliver performant and maintainable features, build third-party data integrations, implement automated and manual testing, create reusable libraries and frameworks, and mentor team members to improve engineering practices.

Develop and maintain Java-based backend services using Spring Boot. Build RESTful APIs, deploy applications (Docker, JBoss), work with Oracle/JPA persistence, write unit tests, follow Agile, and collaborate on source control and branch management.

Design and implement client- and server-side architectures, build RESTful APIs (Python/Node.js), develop and manage NoSQL databases (MongoDB), ensure application responsiveness, security, testing, debugging, and documentation, and collaborate with product and design teams to deliver production-ready web applications.

Senior Java backend developer responsible for building RESTful services with Spring Boot, implementing JPA and Spring Security, integrating Apache Kafka and MySQL, writing unit tests, deploying Spring applications, collaborating in Agile teams, estimating effort, and managing source code and branches.

Lead design and implement backend lending services: precise financial calculations, audit logging, bureau integrations, ML model consumption, API-first development, AI-assisted workflows, mentor engineers, and maintain code quality and technical documentation.

Design, build, and own low-latency (sub-50ms) real-time Fraud Risk Management systems. Implement streaming/event-driven pipelines (Kafka), optimize PostgreSQL/Redis/Pinot, develop efficient algorithms in Python and Go, ensure correctness, idempotency, and reliability, collaborate with Risk/Compliance/Product, and operate systems on AWS with strong testing and performance tuning practices.

Maintain and evolve the AI backend: manage LLM-based workflows, agent pipelines, and vector store integrations. Harden production code, write unit/integration/evaluation tests, set up observability with LangSmith/Langfuse, integrate Qdrant, refactor for scalability, and translate research requirements into robust backend implementations.

Build and maintain server-side logic for payment products, design scalable low-latency services, integrate databases and external systems, ensure security and data protection, collaborate with front-end developers, write unit tests, and troubleshoot production issues.

Design and build high-throughput, low-latency transaction processing platform services using Python and Go. Implement scalable frameworks, streaming/event processing with Kafka, backing stores (MySQL, Redis, Elasticsearch), and ensure performance, resilience, and production readiness on AWS.

Build and maintain shared backend platform services (IAM/RBAC SDK, AI SDK layer, notification service, event bus, feature flags), own API gateway and service-mesh configuration, implement observability and contract testing, produce SDK documentation, and ensure platform reliability (SLOs, on-call, postmortems) while mentoring engineers and contributing to cross-squad platform standards.

The role involves researching and reverse engineering IP communication protocols, designing efficient C++ code for deep packet inspection, and mentoring juniors.

Develop and maintain C++ code for deep packet inspection, collaborate on architecture, and mentor junior colleagues within an IP network intelligence team.

Design, build, and maintain scalable backend services using Java, Spring Boot, and microservices. Lead architecture and technical decisions, participate in code reviews, mentor engineers, ensure production readiness and resilience, support incident analysis and continuous improvement, collaborate with product, platform, and infrastructure teams, and follow secure coding and unit testing best practices.

The Senior Backend Engineer will design and implement scalable backend systems, manage microservices architecture, databases, and CI/CD pipelines, while mentoring junior engineers.

The Backend Engineer will design, build, and maintain scalable backend systems for AI solutions, develop Python libraries, manage APIs, and optimize backend performance.

Administer, monitor, and support Java applications and Genesys Cloud. Provide production troubleshooting, minor bug fixes and enhancements, and act as primary POC for Java apps. Develop/support microservices using Java and Spring Boot, perform analysis of system behavior, and apply problem-solving and diagnostics to maintain service quality.

Develop and maintain back-end web applications, ensuring efficient integration with front-end systems, optimizing performance, and collaborating with QA for testing.

Lead end-to-end product lifecycle for global Fiat On Ramp, Marketplace and e‑commerce solutions. Define product strategy, run data-driven experiments, partner with engineering, design, compliance, BD and marketing to launch global features, improve conversion and engagement, and apply AI/automation to optimize operations.

Lead end-to-end product strategy and lifecycle for global fiat on-ramp, marketplace, and e-commerce solutions. Drive data-driven decisions, collaborate with engineering, design, compliance, risk, BD and marketing, support market research, improve conversion and engagement, and leverage AI/automation to enhance product efficiency and experience.