Top Software Engineer Jobs in Mumbai

Develop, test, and troubleshoot secure, stable backend software components. Write high-quality code, apply SDLC and CI/CD practices, work with data pipelines (Airflow/Spark) and databases, leverage enterprise AI-assisted coding tools responsibly, and contribute to system design and operational stability.

Designs, develops, debugs, and delivers secure, scalable software; produces architecture artifacts; uses AI-assisted dev tools; analyzes data to improve systems and coding hygiene; supports SDLC and cloud operations.

Design, build, and maintain secure, scalable data collection, storage, pipeline, and analytics solutions on AWS. Develop production-quality Java/Python code, implement data serialization, streaming, and orchestration, and ensure data governance, backup, and security practices.

Contribute as a core technical member of an agile team to design, develop, test, and maintain secure, scalable production software. Write and review high-quality code, apply modern architectures, leverage AI-assisted tools responsibly, automate remediation, participate in design/code reviews, and improve operational stability and CI/CD practices.

Join an agile Consumer & Community Banking engineering team to design, develop, and troubleshoot secure, stable, scalable software. Contribute to SDLC, write high-quality code, leverage automation and CI/CD, work with data engineering/ETL/SQL and data warehouses, analyze datasets, and grow technical skills in cloud/AI/ML while supporting application resiliency and security.

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.

Design, build, and maintain AI agents and cloud-based AI applications using Microsoft Copilot Studio and AWS Bedrock. Develop backend services and APIs in Python, implement RAG and vector-database solutions, follow CI/CD and Agile practices, and support platform modernization and AI adoption across the organization.

Develop and optimize Python-based backend and serverless cloud data applications on AWS. Build reusable libraries, improve compute/storage efficiency, use AI tools to accelerate development, participate in architecture and code-review, and collaborate within Agile squads to productionize data workloads.

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, build, and operate LLM-driven, cloud-native ML applications using Python. Collaborate with Data Science, Cybersecurity, and DevOps to deploy scalable, secure microservices on Azure/AWS using Kubernetes, Airflow, Terraform, and enterprise AI-assisted tools. Develop production-quality code, troubleshoot, optimize performance, and ensure responsible AI practices and secure handling of data.

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.

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.

Senior frontend engineer responsible for building responsive, accessible web applications using HTML5/CSS3/JavaScript/TypeScript and modern frameworks. Create and maintain design systems, reusable components, and prototypes using Figma/Adobe XD/Sketch. Integrate with cloud platforms (AWS), CI/CD, and AI services to deliver AI-powered user interfaces. Collaborate with product and backend teams, apply UI/UX principles, optimize performance, and ensure security and scalability.

Lead a software engineering team to design, build, and operate secure, scalable Java/Spring Boot services using Kafka and cloud-native practices. Drive code quality, CI/CD, resiliency, AI-assisted development adoption, vendor evaluations, and cross-team technical leadership within financial services.

Lead technical design, develop and troubleshoot secure, high-quality production code. Promote CI/CD, automation, cloud-native practices and AI-assisted engineering. Mentor teams, evaluate vendors, and drive reusable patterns and operational stability in financial-services applications.

Lead an agile engineering team to design, develop, and maintain secure, scalable software. Drive SQL/PLSQL data solutions, ETL/data warehousing, CI/CD automation, cloud-native adoption, and responsible AI-assisted engineering practices. Mentor teams, evaluate vendors, and improve operational stability and delivery.

Lead design and implementation of LLM-driven, multi-agent SDLC services and orchestration on AWS. Integrate agents with toolchains, build SDKs and data pipelines, drive AI-assisted engineering governance, mentor engineers, and ensure secure, validated AI workflows and observability.

Lead Software Engineer responsible for designing, developing, and delivering Java-based full-stack microservices and micro-frontends. Drive system design, coding, TDD unit tests, CI/CD automation, operational stability, performance, and secure production deployments. Promote AI-assisted engineering practices, participate in architecture and code reviews, and collaborate with stakeholders while supporting clearing and settlements domain knowledge.

Lead a front-end team to design, build, and maintain secure, high-quality React/TypeScript UI applications. Mentor engineers, translate UI/UX prototypes to production code, align with backend APIs, drive architectural reviews, promote CI/CD and automation, adopt enterprise AI-assisted development tools, and ensure operational stability and security within financial services systems.

We are seeking a Mid-level or Senior DevOps Engineer to design, implement, and improve CI/CD systems, ensure reliable software delivery, and collaborate across teams to enhance system performance and maintainability.

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.

Lead design, develop, and operate scalable microservices on AWS using Java/Scala/Python. Own end-to-end feature delivery, write technical designs, mentor engineers, collaborate with global stakeholders, and drive engineering best practices and reliability.

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 development and maintenance of the firms FS analytics platform, execute IT strategy and complex initiatives, analyze information for stakeholders, present to technology and business leadership, and support platform delivery to meet client demand and business growth.

Lead and manage large, complex technology programs across infrastructure, networking, desktop engineering, service desk and DevOps. Define strategy, develop project charters and integrated plans, manage budgets and risks, coordinate cross-functional teams, track milestones and financials, and implement process improvements and release management while communicating status to senior stakeholders.