Top Backend Jobs in Pune

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.

Leads analysis, design, development, testing, deployment, and operation of scalable Java backend services. Designs APIs, event-driven and batch systems, and microservices using Spring Boot, Kafka, cloud, and DevOps technologies. Owns delivery estimates, architecture, quality, security, CI/CD, reliability, and customer experience. Collaborates with product and business stakeholders, mentors engineers, reviews code and automation, drives process improvements, and supports high-availability mission-critical applications.

Lead development of high-performance Java backend services for Mastercard’s fraud decision-management platform. Responsibilities include system design, production development, code and security reviews, CI/CD and cloud-native delivery, production support, SDLC documentation, vendor and offshore coordination, technical training, mentoring, and Agile SAFe participation. The role also drives engineering standards, technology evaluations, performance benchmarking, deployment planning, and secure coding practices.

Own technical direction and hands-on execution for major products, systems, and engineering initiatives. Design scalable systems across backend, frontend, APIs, databases, and infrastructure; write and review code; lead architecture decisions; solve production issues; convert ambiguous problems into technical plans; improve engineering quality; and mentor engineers across teams.

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.

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.

Senior AEM Back-end Engineer responsible for designing, developing, deploying and optimizing AEM solutions. Work with stakeholders and UX/UI to translate requirements into technical implementations, build AEM components/templates/workflows, configure dispatcher/caching, integrate systems, support production incidents, share knowledge with the team, and participate in Agile ceremonies.

Develop and deliver multi-market solutions using Adobe Experience Manager and integrations. Responsibilities span software analysis, backend development, database work, REST API integration, performance, scalability, logging, testing, and maintainability. The role also involves customer interaction, large-scale web solution development, mentoring colleagues, and participation throughout the software development lifecycle.

Develop and maintain backend game engines for online slot games using Java or other object-oriented languages. Implement game mechanics, write tests, debug issues, document technical processes, collaborate with designers, mathematicians, frontend developers, and QA, participate in code reviews, and improve game development tools and processes.

Develop and deliver multi-market web solutions using Adobe Experience Manager and integrations. Responsibilities span software analysis, backend development, database work, REST APIs, performance, scalability, logging, and maintainability. The role includes customer interaction, leading large-scale web solutions, and onboarding and mentoring colleagues in AEM. Collaboration occurs within a multidisciplinary team across Europe and Asia.

Develop, support, and enhance enterprise backend services, APIs, microservices, integrations, and databases. Troubleshoot production incidents, defects, performance issues, and data problems within SLA-driven managed services. Perform root cause analysis, optimize application and database performance, support deployments and releases, monitor systems, automate repetitive tasks, and maintain technical documentation. Collaborate with clients, product owners, QA, DevOps, and distributed delivery teams while providing shift or extended-hours support as needed.

Develop, maintain, and support enterprise backend services, APIs, microservices, integrations, and databases in a managed services environment. Investigate incidents, production defects, performance issues, and data problems; perform root cause analysis and implement preventive fixes. Support deployments, releases, monitoring, automation, documentation, and continuous improvements while meeting SLAs. Collaborate with clients, product owners, QA, DevOps, and distributed delivery teams, including providing shift or extended-hours support when required.

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

Build and maintain automated test frameworks for a large-scale platform using TypeScript and Playwright. Develop functional, integration, and API tests; integrate automated suites into CI/CD pipelines; debug issues and perform root-cause analysis; and contribute independently to production backend code. The role also offers opportunities for Java or Kotlin backend engineering and values experience with cloud platforms, containers, microservices, performance, reliability, accessibility, and contract testing.

Develop, maintain, and support enterprise backend services, APIs, microservices, integrations, and databases in a managed services environment. Investigate incidents, production defects, performance issues, and data problems; conduct root-cause analysis; and implement fixes and enhancements. Support deployments, monitoring, release validation, automation, documentation, and SLA-driven service delivery while collaborating with clients, QA, DevOps, and cross-functional teams.

Develop, maintain, and support enterprise backend services, APIs, microservices, integrations, and databases in a managed services environment. Investigate incidents, production defects, performance issues, and data problems; perform root-cause analysis and implement preventive fixes. Support deployments, releases, monitoring, observability, automation, and documentation while meeting SLAs and collaborating with clients, QA, DevOps, and delivery teams.

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.

Develop, maintain, and support enterprise backend services, APIs, microservices, integrations, and databases in a managed services environment. Investigate production incidents, resolve defects, optimize performance, conduct root cause analysis, support deployments and releases, and improve operational reliability through automation. The role also involves monitoring applications, maintaining technical documentation, following ITIL processes, and collaborating with clients, QA, DevOps, product, and distributed delivery teams.

Develop, maintain, and support enterprise backend services, APIs, microservices, integrations, and databases in a managed services environment. Investigate incidents, troubleshoot production defects, optimize performance, perform root cause analysis, support deployments and releases, and implement automation and preventive improvements. The role also requires monitoring applications, maintaining technical documentation, collaborating with client and delivery teams, and working within SLA-driven support processes.

Design, build, and own distributed backend microservices supporting data ingestion, ML pipeline orchestration, model serving, and real-time analytics. Develop Kafka streaming solutions, PostgreSQL schemas, REST and gRPC APIs, Redis caching, and service observability. Deploy and debug Kubernetes services, implement security controls, participate in on-call rotations, and improve reliability. The role requires expertise in distributed systems, database optimization, microservice patterns, and production-grade backend engineering using Node.js, Python, or Go.

Develop Java-based backend solutions for banking-domain projects using Java, Spring, Hibernate, microservices, Kubernetes, and AWS. Developers will design, code, refactor, optimize, and support end-to-end project execution while collaborating with onsite, offshore, and remote teams. Leads will additionally architect microservices solutions, oversee delivery from inception through completion, mentor development teams, and make technical decisions.

Design and lead scalable Java enterprise solutions across backend, full-stack, and architecture functions. Responsibilities include developing Spring Boot and microservices applications, designing RESTful APIs, integrating databases and cloud platforms, addressing performance and security requirements, producing technical architecture documentation, guiding implementation teams, supporting modernization roadmaps, conducting technology proofs of concept, and troubleshooting complex issues. The role also requires collaboration with architects and engineering teams, technical mentoring, and strong communication skills.

Design and implement RESTful backend services for a multi-tenant PSA platform. Develop modules for project management, resource allocation, time/expense tracking, integrations, background jobs, and AI/ML features while ensuring security, data integrity, and performance.

Design, build, and own high-throughput settlement and reconciliation backend services processing large financial datasets. Implement precise financial calculations, deterministic and idempotent workflows, optimize schemas and queries for correctness and performance, handle complex edge cases and anomalies, and collaborate with Product, Risk, Finance, and Ops. Ensure data integrity, auditability, and strong testing practices.