Top Backend Jobs in Pune

Lead backend engineer responsible for designing, building, and owning Java-based microservices and full-stack applications on PCF/Kubernetes. Deliver high-quality, secure, scalable code, participate in code reviews, work in Agile teams, and follow Mastercard engineering and 12-factor principles. Collaborate with engineers, testers, TPMs, and PMs while leveraging PostgreSQL/Oracle storage, automated testing, and CI/CD practices.

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.

Design, build, and operate Go-based backend services for GitLab's Data Insights Platform and Siphon. Implement scalable ingestion, replication, storage, and query-serving (ClickHouse), integrate gRPC with the Rails app, ensure production readiness across SaaS/Dedicated/Self-Managed environments, debug distributed systems, and collaborate across teams to maintain reliability and observability.

Build and maintain a unified analytics data collection platform (Golang, Kubernetes, ClickHouse, NATS). Improve event emission, transit, and data quality, support billing instrumentation, handle incidents, and collaborate cross-functionally to drive adoption and reliable downstream data.

Design, build, test, and support Java-based backend services (Java 11+/17) using Spring (Boot/MVC/Data). Implement robust REST APIs, ensure security (OAuth2/OIDC, JWT, OWASP), write maintainable tests, manage builds (Maven/Gradle), optimize data access (SQL/Oracle/Postgres), troubleshoot performance, collaborate with DevSecOps/QA, and apply payments domain knowledge.

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.

As a Backend Engineer, you'll improve Git and Gitaly by contributing features, bug fixes, and performance improvements, collaborating with the open source community, and participating in architectural discussions.

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.

As a Backend Engineer, you will collaborate in cross-functional teams to deliver software features, develop high-quality code, and ensure product quality and security, utilizing technologies like Java, GCP, and Spring.

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.

Design, develop, and maintain large-scale Java backend applications and enterprise-grade REST & SOAP services. Implement cloud-native, serverless AWS solutions, integrate AI/ML and LLM-driven services, follow OWASP secure coding, work in agile teams, and collaborate with global stakeholders. Support event-driven architectures and databases like Oracle and MongoDB.

Expert backend engineer to design and implement high-performance Java 8 microservices for cloud-native cyber intelligence systems. Build scalable, low-latency server-side components, implement CI/CD and automation, collaborate with global teams, and maintain deployment and release flows.

Own and develop Zendesk's core User model at scale. Design and implement backend features, collaborate with tech leads, product and design, triage customer issues, provide production support, improve observability/performance/security, run code reviews and pairing, and mentor engineers. Work primarily in Ruby on Rails with MySQL/Redis in a hybrid Pune-based role (3 days in office).