Top Software Engineer Jobs in Mumbai

Build and maintain AI agents and cloud-based AI applications, modernize platform APIs and MCP servers, implement RAG and vector DBs, follow CI/CD best practices, and enable organization-wide AI adoption while working in an Agile team.

Design, build, and scale a centralized API-driven data validation platform. Develop high-throughput, real-time and batch validation pipelines, field- and cross-field rules, schema and integrity checks. Integrate with enterprise systems (CheckMate), ensure auditability, and enable distributed, parallel, and asynchronous processing. Collaborate with data, client services, and analytics teams and contribute to AI-driven capabilities like anomaly detection and LLM-based automation.

Lead and hands-on build cloud-native, microservice-based systems for the PitchBook platform. Drive architecture and design, implement testable scalable code, define non-functional requirements, mentor engineers, collaborate with architects and stakeholders, and deliver end-to-end initiatives while promoting engineering best practices and continual improvement.

Lead engineering and hands-on development for Finance platform automation: design scalable cloud-native integrations across Finance, Sales, and Customer Success systems; mentor engineers; drive architecture, automation, test coverage, and security; partner with product and business teams to deliver reliable, high-performance automation and data solutions.

Design, develop, and maintain scalable full-stack web and enterprise solutions. Improve data flows and DB design, apply modern practices (TDD, CI/CD), support existing systems, lead technical guidance, and implement automated deployments and cloud/container solutions.

Design and develop data solutions on Google Cloud Platform, optimize data pipelines, ensure data quality, mentor junior team members, and collaborate with stakeholders.

Lead and deliver cloud-native, microservices-based full-stack applications; write and review high-quality secure code; integrate and govern AI/ML/LLM tools; drive CI/CD, automation, resiliency, and best practices; mentor engineers and promote responsible, enterprise-approved AI-assisted development.

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.

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 architecture and engineering for large-scale, cloud-native data and application platforms on AWS. Design relational and NoSQL data solutions, streaming/ingestion and lakehouse patterns, integrate AI/ML/GenAI (LLMs, RAG, embeddings, vector DBs) into production, establish enterprise standards, SLOs/SLAs, observability, security, and cost controls, and grow senior technical talent and architecture governance across the organization.

Lead technical design and delivery of cloud-native, microservices-based full-stack applications. Develop, review, and troubleshoot secure, scalable production code; drive CI/CD, resiliency, automation, and AI-assisted engineering practices; mentor engineers and promote reusable patterns across teams.

Lead the design, development, and delivery of secure, scalable Java-based microservice applications. Build production-quality code, automate remediation, drive CI/CD and cloud-native practices, mentor engineers on responsible AI-assisted development, and evaluate architectures and vendor solutions to improve operational stability.

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 development and operational stability of production systems: drive incident response and RCA, build automation and diagnostic tooling with Python and SQL/PLSQL, adopt AI-assisted engineering practices, design self-service operational tooling, evaluate vendors, and lead engineering communities of practice.

Lead design, development, and delivery of secure, scalable software within an agile team. Produce and review production-quality Python code, drive AI-assisted engineering practices, improve automation and operational stability, evaluate vendor architectures, and coach engineering teams on responsible AI, cloud-native patterns, CI/CD, and security.

Seeking a motivated Software Engineer to design, develop, and maintain software solutions, collaborate with teams, and mentor junior developers.

As a Custom Software Engineer, you will lead application design and build efforts, ensuring alignment with business objectives while collaborating with various teams.

Build and maintain BlueCortex features and client-facing applications using a full-stack stack (React, Node/TypeScript, Python). Integrate LLMs, vector stores, and Azure/Microsoft 365 services; use AI coding agents to accelerate delivery. Write tests, own quality, collaborate across distributed teams, and follow data-security practices for life sciences clients.

Coordinate software projects, train administrators, students, and faculty, provide end-user support, diagnose and troubleshoot account and network issues, guide customers through resolutions, escalate unresolved problems to development teams, and participate in business meetings.

The Software Engineer in Test will be responsible for manual and functional testing, creating and executing test cases, and collaborating with teams to ensure product quality. Duties include managing QA environments, troubleshooting, API testing, and supporting automation efforts.

The Custom Software Engineer will design, build, and configure applications, leading team decisions and ensuring project alignment with business goals.

Design, build, and maintain low-latency, high-throughput backend services and REST APIs using Java and Spring Boot. Work in an agile, cross-functional team on microservices architectures, cloud platforms (GCP/AWS/Azure), and SQL-based data investigation; apply CI and automated testing practices.

Design, develop, test, and deploy cloud-based SaaS applications; modernize and refactor existing systems; implement CI/CD, containerization, logging, and monitoring; support AWS deployments and SOC2-aligned secure coding; participate in on-call rotation, code reviews, documentation, and cross-functional collaboration to deliver scalable, maintainable features.

Develop and maintain backend systems that calculate index rebalancing and asset selection. Implement business requirements, write code and tests in Python and JavaScript, update database schemas, troubleshoot performance and production issues, perform unit and API testing, and collaborate with global teams to support releases.

Design, develop, and maintain enterprise applications using SharePoint Online, SPFx, Power Platform and React. Translate business requirements into scalable solutions, integrate with REST/SharePoint APIs, write maintainable TypeScript code, troubleshoot production issues, participate in code reviews, and support CI/CD and deployments.