Top Software Engineer Jobs in Mumbai

Develops and troubleshoots secure, stable, scalable software within an agile Payments Technology team. Responsibilities include coding, interpreting architecture, automating software development processes, addressing code quality issues, analyzing technical data, and using validated enterprise AI tools to support development and documentation. Collaborates with large teams while building foundational software engineering skills and gaining exposure to cloud technologies.

Develop, design, and troubleshoot secure, stable software components as part of an agile team. Write high-quality code, use AI-assisted dev tools responsibly, work across the SDLC, analyze large datasets, and apply CI/CD, resiliency, and security practices.

Designs, develops, debugs, and maintains secure, scalable Java-based microservices on AWS. Produces architecture artifacts, leverages CI/CD and automation, analyzes large datasets for system improvements, and applies enterprise AI-assisted development and responsible AI practices (LLM orchestration, RAG, prompt engineering).

Design, develop, and maintain cloud-native features and APIs, ensuring performance and scalability. Write clean, tested code, optimize systems, document changes, and collaborate with product, QA, and senior engineers within Agile/Scrum processes.

Designs, develops, debugs, and maintains secure, scalable production software. Produces architecture and design artifacts, analyzes large datasets for improvements, applies SDLC/CI-CD practices, uses enterprise AI-assisted coding tools, and supports operational stability across cloud and platform services.

Designs, develops, debugs, and delivers secure, scalable production software. Produces architecture artifacts, leverages SDLC tools and CI/CD, analyzes data for improvements, and uses enterprise-authorized AI coding tools while ensuring security, resiliency, and code quality.

Develop full-stack tools and dashboards to support model risk governance and review. Translate business requirements into Python-based applications within JPMorgan’s Athena framework. Integrate LLMs and machine learning models, emphasize data controls, testing, and user experience, and collaborate with cross-functional teams to improve efficiency and reporting.

Design, develop, and maintain software components and validation frameworks. Create and execute test plans, identify and track defects, support automation and regression testing, collaborate with stakeholders, monitor application behavior, and contribute to QA standards using tools like Git and test automation frameworks.

Contribute to design, development, and troubleshooting of secure, stable software components. Write high-quality code, use SDLC tools (including enterprise AI-assisted tools), analyze data, and work within agile/CI/CD practices to deliver and maintain production systems.

Build and maintain a large-scale TypeScript monorepo powering a desktop web app and React Native companion. Implement high-performance, real-time UIs (virtualised grids, WebSocket state, IndexedDB), design shared packages, write thorough tests (unit, integration, E2E), profile and optimise performance, and collaborate with product, design, and backend teams to ship production features.

Design, build, and maintain backend systems for Morningstar Indexes. Collaborate in Agile teams to implement Java/Spring microservices, REST APIs, and distributed systems; ensure performance, scalability, reliability, TDD, and CI while supporting and evolving existing cloud and on-prem architectures.

Develop and improve digital products using .NET Core and related frameworks. Implement features, fix issues, collaborate with global product teams, research solutions, and follow development best practices.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Build and evolve Circle Discover marketplace features: high-converting purchasing flows, algorithmic recommendations, content feeds, and listings. Work across a Ruby on Rails backend and React/Next.js front-ends, optimize performance and SSR/SSG, collaborate with designers and leaders, and improve codebase quality while shipping at pace in a distributed remote team.

Lead architecture and development of cloud‑native .NET microservices and high‑performance Web APIs. Drive AI adoption—design LLMs, agentic workflows, vector search/RAG, and AI‑augmented SDLC. Mentor senior engineers, own high‑impact technical decisions, optimise performance, and ensure secure, scalable delivery across the full SDLC in Finance/KYC domains.

Design, build, and maintain scalable Workato integrations and custom connectors. Architect automation frameworks, integrate AI/LLM services, build ETL/ELT pipelines, and ensure governance, reliability, and performance across enterprise integrations. Collaborate with business and engineering teams, manage deployments, troubleshoot production issues, and mentor stakeholders.

Lead a cross-functional agile engineering team to design, build, and deliver secure, scalable Java/Spring Boot backends and React frontends. Drive code quality, CI/CD, database optimization, and adoption of enterprise-authorized AI-assisted development practices. Influence technical strategy, evaluate vendor solutions, mentor engineers, and ensure production readiness and compliance within financial services systems.

Lead technical design and deliver cloud-native, microservices-based applications. Develop, review, and maintain secure, scalable production code; drive automation, CI/CD, resiliency, and operational stability; mentor teams and promote engineering best practices.

Lead design, develop, and maintain secure, high-quality production Java full-stack applications (React front-end). Drive adoption of AI-assisted engineering practices, enforce code quality and SDLC, improve operational stability through automation, evaluate vendor/architecture decisions, and lead engineering communities of practice.

Lead Software Engineer responsible for designing, developing, testing, and operating secure, high-quality Java/Spring Boot applications. Drive adoption of enterprise AI-assisted engineering practices, CI/CD, cloud-native patterns, resiliency, and security. Mentor teams, automate recurring remediations, and evaluate vendors and architectures for financial services systems.

Lead front-end engineer designing and delivering accessible, high-performance user-facing applications. Translate UX/UI designs into pixel-perfect code, maintain component libraries and design systems, integrate with Java/Python backends and AWS, champion front-end best practices (accessibility, performance, responsive design), drive adoption of enterprise AI-assisted development, and analyze telemetry to improve UX and architecture.

Lead design and deliver production-grade agentic AI systems (LLM orchestration, RAG, vector DBs, multi-agent setups). Develop secure, high-quality Python code, drive cloud-native deployments on AWS, CI/CD automation, and platform stability. Mentor teams, promote AI-assisted engineering practices, translate business/regulatory needs into technical designs, and guide adoption of responsible AI and validation standards across cross-functional squads.

Lead an agile team to design, develop, and deliver secure, scalable Java backend microservices. Drive architecture reviews, vendor evaluations, CI/CD, automation, production troubleshooting, and adoption of enterprise-authorized AI-assisted engineering practices while ensuring security and operational resiliency.

Lead technical design and delivery of low‑latency, high‑throughput real‑time Risk/PnL UIs and backend services. Build distributed microservices and event-driven pipelines, integrate APIs with robust error handling and state management, drive observability and production excellence, and champion enterprise-authorized AI-assisted engineering and secure SDLC practices.

Lead design and implementation of low-latency, high-performance electronic trading algorithms and systems. Own critical applications, optimize for scalability and reliability, adopt AI-assisted engineering practices, collaborate across teams, and manage SDLC activities including testing, debugging, and operational readiness.