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.

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.

Build and operate highly reliable, secure, multi-tenant backend platform services for Fleet. Responsibilities include event routing with Kafka and Temporal, identity and capability enforcement through Zitadel, secret management and KMS integrations, immutable audit logging with ClickHouse, GitOps deployment automation, MSP onboarding tooling, and secure vendor connector services. The role emphasizes encryption, authorization, observability, scalability, compliance, and operational correctness.

Develop and deliver large-scale, multi-market web solutions using Adobe Experience Manager and integrated technologies. Responsibilities span software analysis, backend development, database work, REST API integration, customer interaction, performance optimization, logging, scalability, and maintainability. The role also involves designing high-quality AEM solutions, collaborating with multidisciplinary teams, onboarding and mentoring colleagues, and contributing throughout the software development lifecycle.

Develops and integrates Adobe Experience Manager solutions for multi-market web projects. Responsibilities span software analysis, backend development, database interaction, customer communication, performance optimization, and full software lifecycle execution. The role also involves designing scalable web solutions, mentoring colleagues on AEM, and supporting code quality, logging, maintainability, version control, and CI/CD practices.

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.

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 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.

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.

Principal-level individual contributor responsible for architecting, building, and operating scalable data-intensive backend and distributed systems. The role requires hands-on coding, system design, performance and cost optimization, reliability, observability, production operations, cross-team technical leadership, architectural decision-making, and mentoring senior engineers. Relevant systems include query engines, batch and stream processing, ingestion infrastructure, distributed storage and compute, semantic platforms, and high-performance data products.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

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 and maintain fintech applications using Java and Spring Boot. Design secure RESTful APIs for financial transactions, translate financial workflows into technical solutions, ensure PCI DSS and GDPR compliance, and optimize high-volume, low-latency systems. Participate in Agile ceremonies, code reviews, CI/CD, Docker, cloud, and DevOps practices while collaborating with product managers, analysts, business units, leaders, associates, and clients.

Build and maintain shared backend platform services, SDKs, API gateway capabilities, service mesh configurations, event bus patterns, AI integrations, and observability systems. Establish API standards, contract testing, documentation, reliability practices, and SLO monitoring. The role also includes incident response, mentoring engineers, code quality ownership, and collaboration across twelve product squads to deliver secure, stable, developer-friendly platform infrastructure.

Design, develop, and maintain Python backend services, RESTful APIs, and scalable microservices. Deploy and manage Azure cloud solutions, CI/CD pipelines, automated testing, Docker, and Kubernetes environments. Collaborate in Agile/Scrum teams through code reviews, planning, and architecture discussions. Apply database, data modeling, cloud architecture, scalability, security, and performance optimization knowledge, with potential work involving Databricks, Golang, React, infrastructure as code, and event-driven systems.