Top Software Engineer Jobs in Mumbai

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Designs, develops, tests, debugs, documents, and maintains software enhancements and commercial application products using COBOL and related technologies. Collaborates with product managers and users to define requirements, produces technical specifications, participates in design reviews, and supports installation and maintenance. The role also involves communicating with business and client-facing teams, mentoring colleagues, presenting technical information, and potentially managing project plans, budgets, and schedules.

Own end-to-end QA for a scrum team across web applications, JavaScript libraries, mobile SDKs, APIs, backend systems, and performance testing. Build automated test suites, QA infrastructure, CI pipelines, and test environments; investigate customer issues, perform client-side debugging and root-cause analysis, manage deployments, and establish testing strategies for AI-powered features.

Designs and develops Linux-based embedded software architectures for high-performance real-time systems. Leads requirements analysis, coding, integration, debugging, testing, and kernel optimization. Develops Linux kernel solutions, device drivers, and Board Support Packages for RISC processors and ARM environments. Manages configuration using ClearCase and ClearQuest, collaborates with cross-functional teams and customers, and supports wireless protocol and telecommunications initiatives.

Develop scalable Python software and integrate AI/ML solutions, including RAG and intelligent automation. Collaborate with data engineering and DevOps teams on data processing, deployment, and CI/CD. Conduct code reviews, troubleshoot complex issues, document solutions, train stakeholders, and support Agile continuous improvement while integrating AI capabilities with Jira and Confluence.

Lead technical improvements across a large enterprise software portal, owning major features, architecture, database governance, testing standards, modernization, and production incident response. Mentor developers, conduct critical code reviews, establish engineering practices, and collaborate with product, QA, customer success, and leadership. The role requires expertise across PHP, React, AWS, C#, SQL Server, distributed systems, legacy modernization, and AI-assisted development workflows.

Leads architecture, delivery, modernization, database governance, testing, code quality, and incident response across complex enterprise software systems. Mentors developers, establishes engineering standards, guides incremental modernization, and manages production risks involving financial, inventory, and shipping data. Requires strong PHP, React, AWS, C#, SQL Server, distributed systems, testing, and technical leadership expertise.

Build and own automated testing frameworks, CI/CD infrastructure, load and stress testing, and chaos engineering practices for a brokerage platform. Write primarily Go, integrate AI and LLM tooling into quality workflows, investigate application and Kubernetes failures, improve developer tooling, and mentor engineers on reliability and test coverage.

Develop and enhance a cloud-based securities processing platform using C++. Analyze requirements, design solutions, implement features, estimate tasks, lead code reviews, enforce best practices, and mentor junior engineers. The role supports strategic platform enhancements and client implementation projects within an agile scrum team.

Develop, enhance, and support business-critical mobile applications for Android and iOS. Responsibilities include designing scalable features, integrating enterprise systems and third-party services, monitoring application health, resolving production issues, supporting releases, contributing to CI/CD, conducting code reviews, mentoring junior developers, and improving application reliability, security, and support processes.

Owns platform-level quality strategy for a Reporting/BI domain across multiple scrum teams. Responsibilities include SQL and PL/SQL validation architecture, financial report accuracy, performance benchmarking, API and automation frameworks, security testing, AI-augmented testing, release governance, defect resolution, quality standards, and mentoring senior QA engineers. The role also partners with engineering, product, DevOps, and enterprise clients to drive quality outcomes and delivery decisions.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Design and implement end-to-end automation frameworks and testing strategies for complex frontend and backend features. Own automation roadmaps, improve test coverage and reliability, and build functional, performance, resiliency, and security testing integrated with CI/CD. Develop AI-assisted and agentic QA workflows, scalable testing infrastructure for distributed and cloud-native systems, observability-driven validation, and predictive quality tooling. Collaborate cross-functionally with engineering, product, platform, and QA teams while mentoring other engineers.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Develops secure, scalable software and REST services; evaluates technical solutions, programs, tests, documents, and maintains applications. Partners with Data Science and Product teams to identify opportunities and deliver solutions. Contributes to engineering standards, efficiency, and maintainability while working with distributed teams.

Build and maintain web and mobile systems supporting field-worker onboarding, device assignment, attendance, data collection, uploads, payments, dashboards, and operational workflows. Integrate storage and data-quality systems, improve reliability under poor connectivity, automate manual processes, monitor deployments, and troubleshoot production issues. The role partners closely with founders and operations teams, owning features end to end across frontend, backend, infrastructure, testing, deployment, and support.

Provides hands-on technical leadership across multiple teams, designing and operating secure, scalable cloud-native applications. Leads full-stack development with C#/.NET and Next.js/React, shapes architecture, establishes engineering standards, improves testing and observability, mentors engineers, and resolves complex production issues. Requires deep AWS or Azure expertise, infrastructure as code, distributed systems, DevSecOps, security controls, and advanced troubleshooting skills.

Provides hands-on technical leadership for secure, cloud-native full-stack applications across multiple teams. Leads architecture, development, deployment, operations, engineering standards, testing, observability, security, and production issue resolution. Develops solutions using C#/.NET, ASP.NET Core, Next.js, and React on AWS or Azure. Partners with technical and business stakeholders, mentors engineers, guides complex technical decisions, and drives systemic improvements in reliability, scalability, performance, and cost optimization.

Leads multiple software engineering teams or a complex engineering domain, setting priorities, ensuring delivery outcomes, guiding architecture and DevOps adoption, managing risks and dependencies, and developing engineering talent. Partners with architecture, DevOps, AI, and enablement leaders to shape enterprise engineering practices, governance, investment decisions, and scalable software solutions.

Own end-to-end development of web and AI features, including conversational voice and email agents, language-model orchestration, retrieval, evaluation frameworks, monitoring, and production releases. Build across Python and TypeScript/React while balancing customer needs, product priorities, performance, latency, and cost. The role requires autonomous product judgment and experience taking AI systems into production.

Owns end-to-end product features across the full stack, including conversational voice and email AI agents, LLM tool orchestration, deterministic safeguards, evaluation frameworks, vector search, monitoring, tracing, and staged production releases. The role requires strong product judgment, system-design skills, real-time processing experience, and independent execution in a remote India-based environment.

Design and scale cloud and Kubernetes infrastructure, distributed systems, CI/CD, observability, and deployment tooling. Build production-grade AI agents for infrastructure and engineering workflows, including tool use, evaluation, permissions, guardrails, and failure handling. Improve reliability, performance, and cloud efficiency; troubleshoot across application and infrastructure layers; mentor engineers; document architecture; and participate in on-call operations.

Build production software for automated GPU and inference cluster provisioning. Design declarative APIs, control planes, state machines, reconciliation loops, durable workflows, and self-healing systems that manage hardware from discovery through deployment, operation, repair, and decommissioning. Partner with inference and ML platform teams to model cluster topology and scheduling requirements. Own reliability, testing, CI/CD, deployment, and production operations for the platform.

Senior Software Engineer responsible for maintaining compatibility and stability of T2000/T6391 system software during Visual Studio and MSVC upgrades. Duties include build verification, compiler and runtime issue resolution, Windows compatibility testing, TPIDE test development, GUI automation, CI/CD test framework maintenance, regression testing, and process improvement. The role collaborates with international development teams and supports long-term platform quality and release efficiency.