Top Backend Jobs in Mumbai

Build and scale production-grade agentic AI infrastructure and platform capabilities. Lead architecture, technical design, reliability, scalability, data privacy, and end-to-end delivery. Collaborate with product and innovation teams to define customer solutions, mentor engineers, improve developer experience, and resolve complex technical issues. The role requires backend engineering, cloud infrastructure, APIs, databases, automated testing, infrastructure as code, and CI/CD expertise.

Develops and maintains scalable Java backend applications and secure RESTful APIs. Optimizes performance, supports frontend integrations, translates business requirements into technical solutions, and collaborates with product, design, and cross-functional Agile teams. Requires expertise in Java, J2EE, Spring Boot, relational databases, version control, and API documentation. Cloud, containerization, Kubernetes, microservices, and React.js experience are advantageous.

Develop and maintain backend enterprise applications using C# and .NET Framework. Design RESTful JSON APIs, integrate internal and third-party systems, and build scalable data-access solutions. Develop and optimize SQL Server queries, stored procedures, views, indexes, and database performance. Apply secure coding practices, conduct code reviews, troubleshoot production issues, contribute to technical designs, and responsibly validate AI-generated code.

Design and implement scalable portfolio risk analytics and modeling services using Java and Python. Lead technical design, build application servers and APIs, optimize performance, mentor junior developers, collaborate with quantitative researchers and product managers, and deliver high-throughput, test-validated solutions for Aladdin clients.

Develop and deploy scalable backend services for web applications. Responsibilities include RESTful API development and testing, database integration, asynchronous task queuing, containerization, and collaboration with the development team. The role uses Python frameworks such as FastAPI, Flask, or Django, relational databases, Docker, and potentially Kubernetes and cloud platforms.

Develop and own highly scalable backend services for IoT, order, and payment systems. Responsibilities include Java and Python development, distributed systems design, database and cache optimization, event-driven architectures, production troubleshooting, observability, incident response, reliability improvements, and collaboration with Infrastructure, QA, and Product teams.

Build and maintain scalable backend applications, APIs, data pipelines, and integrations supporting AI, machine learning, analytics, and Power BI reporting. Responsibilities include processing structured and unstructured data, exposing analytical outputs, troubleshooting performance issues, testing, debugging, deployment, documentation, and collaboration with engineering and analytics teams. Candidates should understand backend development, databases, APIs, software development practices, Power BI, AI/ML concepts, and data workflows. Freshers with relevant projects may be considered.

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.

Develop and maintain SAP ABAP applications and custom solutions across S/4HANA environments. Build ABAP OO enhancements, support integrations across SD, MM, WM, FI, and CO modules, analyze requirements, troubleshoot and optimize SAP applications, and collaborate with functional and technical teams.

Build and operate scalable backend services, distributed event-processing pipelines, resilient recovery systems, incident analysis tools, and autonomous AI agents. Responsibilities include performance optimization, observability, on-call incident response, root-cause analysis, tool-enabled LLM workflows, and production reliability. The role requires strong Python and distributed-systems expertise, hands-on disaster recovery experience, and the ability to evaluate AI systems for correctness, latency, cost, and failure behavior.

Design, build, optimize, and operate scalable, low-latency backend services for an AI risk decisioning SaaS platform. Collaborate with product, frontend, and QA teams; implement testing and CI/CD practices; monitor service health; resolve performance bottlenecks; and mentor junior engineers.

Design and build scalable Java backend services for subscriptions, payments, entitlements, and Fire TV in-app purchases. Develop REST APIs, microservices, event-driven workflows, and reliable transaction-processing systems. Integrate payment providers and external platforms while ensuring idempotency, fault tolerance, consistency, and high performance. Improve observability, troubleshoot distributed production systems, and participate in architecture and code reviews.

Design and build scalable Java and Spring Boot backend services for subscriptions, payments, entitlements, and Fire TV in-app purchases. Develop REST APIs, microservices, and event-driven workflows integrating payment providers and external platforms. Ensure high availability, fault tolerance, idempotent transaction processing, and performance during traffic spikes. Troubleshoot distributed production systems, improve observability, and participate in architecture and code reviews while mentoring engineers.

Develop and maintain high-throughput distributed services for Binance’s KYC platform. Responsibilities include translating business requirements into reliable Java services, writing tests and documentation, tuning performance, troubleshooting incidents, collaborating across engineering teams, and mentoring junior engineers. The role requires expertise in Java, Spring, MySQL, distributed system design, messaging middleware, and collaboration across global teams. KYC or compliance experience and JVM, SQL, or RPC performance-tuning experience are desirable.

Lead backend engineering for NIRA’s consumer credit platform, scaling infrastructure, expanding support for financial products, and improving credit decision systems. Collaborate with engineering teams across APAC and with product, finance, compliance, support, and analytics stakeholders. Own technical solutions end to end in an AWS-native environment while contributing to platform and product strategy.

Lead technical direction and delivery for a core NIRA backend domain: design and ship high-volume web APIs, own architecture for distributed and queue-based systems, drive complex initiatives, mentor engineers, lead incident response, champion AI dev tools, and align cross-functionally to simplify systems and influence roadmap.

Develop and maintain scalable cloud-native applications using .NET, C#, and Java or Python. Collaborate with cross-functional Agile teams, implement unit testing and TDD practices, maintain CI/CD pipelines, participate in code reviews, and use Git for version control. The role includes modernizing legacy .NET applications, designing database schemas, applying architectural patterns, and deploying solutions on Azure or Google Cloud Platform.

Develop realistic backend coding challenges, including feature implementations and bug fixes, for AI training projects. Design deterministic verifiers, automated tests, and validation criteria that distinguish correct from incorrect solutions. Evaluate code for correctness, reliability, maintainability, security, and performance while identifying edge cases and bottlenecks. Work independently with backend technologies and refine tasks based on project requirements and quality standards.

Participate in developing and maintaining core infrastructure products, documenting business interfaces, troubleshooting QA-reported issues, and helping Customer Success resolve and classify customer problems. The role is part of a 3–6 month accelerator internship for current students and recent graduates, requiring Java, Spring microservices, MySQL, Redis, RabbitMQ, Kafka, teamwork, logical thinking, and English fluency.

Develop and maintain high-quality software, collaborate cross-functionally to ship features, identify bottlenecks, fix bugs, and evaluate technologies that improve development efficiency. The role requires independent ownership, strong problem-solving and product thinking, effective communication, and a willingness to exchange constructive feedback in a flat, remote organization.

Own the end-to-end real-time voice and data platforms, including AI agents for live calls, telephony and streaming integrations, call-data pipelines, analytics, dashboards, monitoring, and cloud infrastructure. Build AI workflows, product interfaces, and business automations; optimize latency, cost, reliability, and performance; respond to production issues; and mentor teammates while collaborating with product and domain experts.

Designs and evolves highly scalable backend systems, APIs, distributed workflows, databases, messaging infrastructure, and observability solutions. Leads cross-team architecture initiatives, resolves complex production issues, optimizes performance and data access, establishes reliability and engineering standards, modernizes technical debt, mentors engineers, and remains hands-on with critical systems.

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.

Develop backend blockchain functionality for Cardax DEX on the Cardano blockchain. Write and maintain smart contracts in Plutarch and Haskell that define the constraints and conditions for decentralized token exchange without a central entity.