Top Backend Jobs in Mumbai

Own the bug and feature queue for internal business tools, prioritizing requests by impact, gathering user feedback, fixing bugs, shipping features with AI coding tools, testing changes, documenting systems, and improving user experience. The role combines product judgment, lightweight technical building, proactive problem-solving, and close collaboration with the COO and CCO.

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.

Design, build, and maintain scalable Go-based backend services and RESTful APIs. Drive technical architecture, system reliability, observability, and long-term scalability while collaborating with product, design, and frontend teams. Participate in system design, project delivery, production on-call support, and engineering strategy. Mentor junior engineers and contribute to microservices, distributed systems, cloud deployments, and continuous improvement of healthcare technology platforms.

Design, build, maintain, and support scalable backend services for custodial and execution accounts across digital asset businesses. Collaborate on system architecture, deliver features, optimize performance and reliability, automate workflows, and own production services end to end, including deployment, monitoring, troubleshooting, and support.

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 evaluate backend security coding tasks for AI systems. Responsibilities include implementing backend features, fixing bugs, refactoring code, optimizing performance, identifying and remediating vulnerabilities, conducting security-focused code reviews, and creating deterministic automated tests and verifiers. The role requires strong backend engineering, application security, debugging, testing, algorithms, and software architecture skills. Work is remote, flexible, part-time, and contractor-based.

Develop and operate backend systems using Java, Python, AWS, microservices, databases, queues, and event-driven architectures. Responsibilities include designing scalable services, integrating third-party APIs, improving performance and observability, managing production Docker deployments, conducting incident reviews, writing architecture documentation, mentoring engineers, and owning systems through launch, on-call, and ongoing optimization. The role also requires daily use and review of AI-assisted coding tools.

Design, develop, and optimize Python backend services, REST APIs, microservices, scalable data pipelines, ETL workflows, and relational databases. Build dashboards with Plotly Dash, integrate Scikit-learn models into production, and establish automated testing with Pytest. The role also involves architectural improvements, performance optimization, code reviews, mentoring, and promoting software development best practices across engineering teams.

Maintain and enhance scalable backend services for a SaaS platform using Node.js and TypeScript. Responsibilities include API performance optimization, MongoDB and Redis management, asynchronous job workflows, AWS infrastructure monitoring, security implementation, API documentation, testing, CI/CD, and production troubleshooting. The role supports campaign generation, template storage, credit-based billing, and high-traffic APIs.

Own and develop Blitzy’s mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. The role requires hands-on architecture, coding, system reliability, scalability, observability, data architecture, semantic retrieval, and enterprise software modernization. The Principal Engineer will drive complex technical initiatives, establish engineering standards, and contribute across backend, frontend, infrastructure, and AI systems without people-management responsibilities.

Owns architecture and technical roadmaps for core backend, infrastructure, and AI platform areas. Writes and reviews production code, resolves complex reliability issues, drives technical initiatives, improves software delivery practices, and mentors engineers. The role partners closely with company leadership and cross-functional stakeholders in an in-person environment while shaping scalable, secure, enterprise-grade systems.

The job description provides no substantive responsibilities or qualifications beyond a general reference to digital modernization and an instruction placeholder.

Build and scale resilient backend APIs, libraries, and services for digital asset financial products. Own features from design through deployment and customer integration, document functionality, collaborate across engineering teams, and mentor peers through code reviews and best practices. The role requires backend development expertise, database and API design experience, microservices knowledge, testing, on-call participation, and coordination with global stakeholders.

Build, deploy, and maintain enterprise-grade backend software while partnering with the CTO and founding team. Own technical decisions, production reliability, scalability, security, and lifecycle improvements. Troubleshoot complex issues, develop prototypes and technical content, adopt emerging technologies, and collaborate with engineering, design, sales, and other stakeholders. The role requires strong backend, cloud, infrastructure-as-code, distributed systems, API, database, and generative AI experience, with independent execution in an in-person startup environment.

Own and develop mission-critical backend systems, cloud infrastructure, and LLM-powered production systems. Design scalable services using Python, REST, gRPC, Kubernetes, and Terraform; manage relational, NoSQL, graph, and vector data architectures; improve reliability, performance, and operational excellence; and provide hands-on technical leadership across backend, frontend, infrastructure, and AI systems.

Design, build, and maintain reliable backend APIs, services, and systems. Collaborate with stakeholders and engineering teams to deliver scalable features, contribute to technical roadmaps, improve internal tooling and engineering standards, and create technical documentation. The role emphasizes highly available production services, data pipelines, customer-centric development, and fraud prevention or compliance domain expertise.

Develop and optimize Python backend services, microservices, and data-centric applications for AI-powered SaaS products. Integrate and optimize AI/ML models, manage PostgreSQL and MongoDB databases, and deploy applications using Docker, Kubernetes, Terraform, and Helm. Work across GCP, AWS, and Azure with CI/CD pipelines, testing, and artifact management. Collaborate with DevOps, data scientists, and data engineers while contributing to frontend and overall software architecture and mentoring engineering teams.

Design and ship secure, scalable backend services for INR fund flows and retail derivatives trading. Own APIs, order management, margin, risk, liquidation, settlement, market connectivity, reconciliation, and service reliability. Partner with mobile and product teams, lead architecture and code reviews, mentor engineers, and coordinate with global stakeholders.

Designs, develops, tests, deploys, and maintains scalable Java Spring Boot microservices and distributed cloud systems. Contributes to architecture, technical strategy, roadmaps, monitoring, testing, and continuous integration. Troubleshoots complex application issues, collaborates with product and engineering teams, estimates delivery work, and mentors junior engineers. The role also documents current and future-state processes and recommends technical improvements. GCP experience is preferred, including Cloud Run, GKE, Pub/Sub, Cloud SQL, and BigQuery.

Designs, develops, and operates scalable backend services, APIs, data integrations, and microservices. Owns domain architecture, database performance, reliability, observability, incident response, security, testing, and roadmap delivery. Leads design reviews, improves engineering standards, mentors backend engineers, and collaborates with product and global teams. The role requires technical leadership, strong system design, cloud infrastructure experience, and production operation of large-scale consumer applications.

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.

Lead the Platform Services engineering team responsible for shared infrastructure, internal tooling, and core services. Own distributed systems architecture, cloud reliability, observability, cost optimization, roadmap delivery, and incident management while remaining hands-on with code and production systems. Hire, mentor, and develop engineers; establish technical standards; and collaborate with product engineering, SRE, security, and leadership. Drive AI-assisted engineering practices and platform automation.

Lead enterprise backend architecture for scalable, distributed, cloud-native applications using Java, Spring Boot, and microservices. Define architecture standards, service boundaries, integration patterns, HLD/LLD designs, and cloud deployment strategies. Drive modernization, observability, CI/CD, security, performance, and resiliency initiatives across engineering teams. Provide technical leadership, conduct architecture and code reviews, mentor developers, and collaborate with stakeholders on technology roadmaps and enterprise solutions.

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.