Top Backend Jobs in Mumbai

Develop, design, test, and implement Java backend systems for financial services clients. Responsibilities include Java/J2EE development with Spring, Hibernate, Oracle, Jenkins, and Maven; writing comprehensive JUnit tests; conducting impact analysis, code reviews, documentation, estimations, and status reporting; maintaining quality standards; and supporting or mentoring junior developers and testers.

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.

Build, maintain, and design backend microservices and data systems using Python/Golang. Fix defects, reduce tech debt, improve architecture for robustness, security, and performance. Integrate via APIs, work with SQL/NoSQL stores (Elasticsearch, Cassandra), contribute to automated testing and increase test coverage while collaborating closely with product managers and engineers.

Lead architecture and hands-on development of highly scalable Java and Spring Boot backend platforms. Design cloud-native systems using AWS, Docker, Kubernetes, distributed databases, and messaging systems. Integrate AI/ML capabilities into production pipelines, coordinate interfaces across web and mobile applications, and respond to critical incidents. Establish observability, automation, testing, resilience, and clean-code practices while collaborating with product teams and clients on technical delivery.

Develop and optimize Python back-end services, microservices, and data-centric applications for AI-powered SaaS solutions. Integrate and optimize AI/ML models, manage PostgreSQL and MongoDB databases, deploy containerized applications with Docker and Kubernetes, and manage cloud infrastructure using Terraform and Helm across GCP, AWS, and Azure. Collaborate with DevOps, data scientists, and data engineers while contributing to software architecture, testing, CI/CD, and engineering team mentorship.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

Design, build, and evolve resilient, high-performance payment and distributed data systems handling large-scale transactions and tracking events. Develop real-time decisioning, risk integrations, refunds, reconciliation, reporting, and attribution APIs. Select scalable technologies, ensure security and data integrity, collaborate cross-functionally, influence architecture, and mentor engineers while delivering mission-critical projects.

Own and architect payment and billing infrastructure for a global fitness management platform. Responsibilities include integrating Stripe and Razorpay, processing webhooks, preventing duplicate charges, building .NET Core REST APIs, enforcing PCI-DSS through tokenization and credential vaulting, developing Kafka event-driven services, and optimizing MySQL data models and performance for a multi-tenant SaaS platform.

Own and develop scalable .NET Core backend services and REST APIs for a multi-tenant fitness platform. Responsibilities include MySQL schema and query optimization, Kafka event-driven integrations, secure API architecture, automated testing, technical leadership, code reviews, and solving complex backend problems. The role also involves responsible use of AI coding tools and collaboration supporting Angular and Flutter applications.

Design, develop, and lead scalable Java backend and microservices solutions. Responsibilities include architecture, REST APIs, event-driven systems, cloud-native deployment, database design, concurrency, JVM and application performance optimization, production troubleshooting, code reviews, technical standards, mentoring, and cross-functional technical decision-making.

Develop and maintain backend applications for field team operations. Responsibilities include designing systems and data models, resolving bugs and bottlenecks, writing unit-tested reusable code, integrating internal and external tools, and collaborating with product managers on system design. The role requires Core Java, object-oriented programming, SQL databases, web-service integration, and RESTful APIs, with Git and Spring or Hibernate experience preferred.

Design and build scalable, multi-tenant commerce services for checkout, subscriptions, payments, invoicing, taxation, and reconciliation. Develop resilient integrations with payment service providers, event-driven systems, ledgers, and idempotent APIs. Operate production services on GKE with observability, CI/CD, autoscaling, SLOs, and on-call ownership. Collaborate with product and design teams, mentor engineers, and contribute to performant, accessible frontend experiences.

Lead backend and data-platform architecture while remaining hands-on with Java production code. Design and operate distributed systems for event ingestion, analytical querying, data processing, and low-latency serving. Work with ClickHouse, BigQuery, Bigtable, Kafka, Redis, GCP, and Dataflow to solve scalability, reliability, performance, and data-correctness challenges. Set technical direction, review designs, mentor engineers, and guide platform convergence across Wingify and AB Tasty.

Design, develop, test, deploy, and maintain scalable Java and Spring Boot backend services, REST APIs, and microservices. Work with PostgreSQL, SQL, JPA/Hibernate, Azure, Docker, Kubernetes, and CI/CD pipelines. Apply distributed-systems, security, resilience, testing, and performance practices. Troubleshoot production issues, improve observability and scalability, participate in architecture and code reviews, and mentor junior and mid-level engineers while collaborating in Agile teams.

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 backend services and APIs for enterprise AI and agentic platforms. Build MCP servers, authentication and authorization frameworks, API governance capabilities, and orchestration workflows. Integrate tools, data sources, agents, and LLMs while securing and governing production systems. Collaborate with architecture, security, and platform teams to deliver scalable AI infrastructure.

Build and maintain scalable Node.js backend systems, RESTful APIs, internal and third-party service integrations, and microservices. Optimize performance, troubleshoot issues, and implement caching, logging, and monitoring. Collaborate with frontend engineers, product managers, and stakeholders on architecture, code reviews, testing, documentation, and sprint planning. Deploy and manage services using Docker, Kubernetes, and cloud platforms in an agile environment.

Build durable, distributed workflow automations in Java using Temporal. Integrate internal services, SaaS APIs, databases, and queues; implement retries, idempotency, timeouts, signals, compensation, versioning, observability, and human approvals. Add LLM-backed workflow steps with cost controls, communicate with nontechnical stakeholders, document processes, write tests, and safely manage long-running workflows through deployments and failures.

Designs and builds Python backend services, REST APIs, automation, integrations, and automailer workflows for a large-scale analytics platform. The role owns production support, enhancements, backend architecture, and scheduling solutions using Apache Airflow and AWS services. Candidates need at least five years of Python backend development experience, strong API design and automation skills, and must be based on-site in Mumbai. Oil and Gas experience is preferred.

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.

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 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.

As a Backend Engineer, you'll design scalable systems for live sports video streaming. Responsibilities include improving software reliability, developing APIs, and collaborating with cross-functional teams.

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.

Build and maintain backend integrations between internal applications and external platforms. Design reusable integration frameworks, SDKs, and microservices; implement API, webhook, authentication, and data-consistency workflows; automate processes; monitor reliability; troubleshoot issues; and collaborate with product and AI engineering teams. The role requires rapid delivery of scalable, secure integrations across B2B SaaS and other web platforms.