Top Software Engineer Jobs in Mumbai

Build and maintain customer-facing dashboard features across frontend and backend using React.js, Spring Boot, and Python. Develop REST APIs, data pipelines, and responsive UIs; participate in design, code reviews, testing, and production support to improve reliability and performance. Collaborate with Product and Design to deliver features and continuously improve developer productivity and application quality.

Designs, develops, and supports Informatica PowerCenter and IICS integration pipelines across cloud applications, databases, warehouses, and operational systems. Responsibilities include ETL development, REST and web service integrations, data quality and governance, SQL and cloud performance tuning, troubleshooting, deployment management, and scripting. The role also uses approved AI tools for development and supports AI-enabled product data enrichment while validating outputs and protecting client data.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

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.

Designs, builds, deploys, tests, and maintains reliable software systems. Responsibilities include solving complex problems, mentoring junior engineers, leading design discussions, coordinating integrations, improving performance and security, resolving production incidents, and addressing customer needs. Requires strong software architecture knowledge, analytical and communication skills, teamwork, documentation, and continuous learning. A computer science or related degree and at least four years of software development experience are required.

Develop scalable, high-performance software in distributed, cloud-based environments. Build real-time and asynchronous event-driven systems, collaborate with cross-functional teams, align engineering strategies with business needs, and maintain software engineering excellence. The role requires Java development, messaging-system experience, strong design skills, and clear stakeholder communication, with preferred experience in FinTech, investment management technology, Groovy, Bash, Python, and AI technologies.

Build and automate security tooling for the Offensive Security Operations team. Responsibilities include gathering requirements, designing and delivering solutions, developing APIs and CLI tools, testing, documenting, integrating security controls into development workflows, managing cloud infrastructure, and improving security processes. The role requires collaboration with technical and non-technical stakeholders, Agile practices, backlog planning, and strong understanding of software vulnerabilities and engineering flaws.

Build and maintain full-stack web products across frontend, backend, databases, DevOps, analytics, and third-party integrations. The engineer will implement features, fix bugs, improve infrastructure, monitoring, deployments, testing, and developer experience, and participate in on-call support. The role requires collaboration with product teams, proactive technical ownership, reliable production code, analytics-informed iteration, and fluency with AI coding tools. Senior candidates may additionally own architecture, technical strategy, and major projects.

Own Plane Cloud infrastructure and self-hosted deployment paths across AWS, Kubernetes, Terraform, CI/CD, GitOps, observability, and security. Build reliable installations and upgrades for customer, sovereign, and air-gapped environments. Operate production systems, respond to incidents, debug issues across networking and application layers, and improve defaults and documentation. Collaborate with engineering teams, customer platform teams, and open-source contributors.

Design and implement high-performance router datapath solutions using custom and merchant silicon. Develop packet forwarding capabilities across IP, MPLS, Segment Routing, and VXLAN, plus QoS, ACL, TCAM management, and packet extraction. Write efficient, modular, well-tested C/C++ code using DPDK, and support virtualized Linux environments such as KVM and Docker. Collaborate with product management and testing teams to deliver robust networking products.

Develop and maintain reusable automated tests using Playwright and TypeScript, while also performing manual and exploratory testing. Verify data with SQL, conduct API and non-functional testing, and integrate quality practices into Agile and Scrum development cycles. Collaborate with product managers and scrum teams, challenge acceptance criteria and test coverage, identify risks, and provide technical mentorship to improve quality and reduce manual testing efforts.

Develop AI-focused quality engineering solutions for LLM applications, copilots, chatbots, RAG pipelines, and autonomous agents. Build evaluation frameworks, synthetic datasets, and scalable Python automation for UI, API, microservice, and distributed-system testing. Validate AI safety, groundedness, hallucinations, agent workflows, vector search, tool integrations, observability, reliability, and performance. Integrate quality workflows into CI/CD and cloud environments while collaborating with Engineering, AI/ML, Platform, Product, and DevOps teams.

Leads architecture, design, and delivery of Java, Spring Boot, API, microservices, cloud-native, and Pega enterprise applications. Drives legacy modernization, AWS migration, containerization, infrastructure as code, CI/CD, DevSecOps, observability, security, and resilient distributed-system design. Provides technical leadership, mentoring, architecture governance, and engineering-practice improvement while evaluating Pega versus custom services. The role also supports adoption of Generative AI and Agentic AI capabilities across enterprise applications.

Provides enterprise-level technical leadership across full-stack platforms, distributed systems, cloud architecture, workflow orchestration, modernization, DevSecOps, and AI-enabled engineering. Sets technical strategy, architecture, engineering standards, and delivery practices across multiple teams. Leads AWS cloud-native solutions, Temporal workflows, event-driven systems, security, observability, resilience, and responsible Generative AI adoption while coaching senior technical talent and influencing business, product, security, data, and architecture stakeholders.

Design, develop, and maintain secure full-stack applications, backend services, APIs, data pipelines, models, and user-facing features. Analyze and improve data quality, system performance, reliability, and user experience. Support CI/CD, cloud deployments, monitoring, automated testing, and incident response while collaborating within Agile squads and following security, risk, and compliance standards.

Designs, develops, tests, maintains, and optimizes software automations and features in a Scrum environment. Resolves technical issues, improves system performance and scalability, collaborates with cross-functional engineering partners, maintains existing systems, proposes product enhancements, and evaluates emerging technologies. The role requires strong Python engineering, modular development, CI/CD, unit testing, TDD, and clean-code practices.

Develop custom customer integrations and provide Bubble.io guidance. Build and maintain Salesforce, HubSpot, and other CRM integrations; manipulate data with Python and Pandas; design AWS Lambda microservices; support client onboarding and collaborate with the development team to improve the platform.

Build and maintain full-stack advertising features across customer-facing and internal ecommerce platforms. Develop data services, visualizations, keyword-level insights, and actionable recommendations from complex advertising data. Collaborate with Product, Design, Data, Merchants, and Engineering to validate concepts, improve platform reliability, and scale successful solutions. Responsibilities include testing, monitoring, deployment improvements, production issue resolution, documentation, and translating business logic into clear merchant experiences.

Develops and supports complex Java and Angular applications, contributes to application architecture, performs functional analysis, and participates in planning, testing, implementation, and issue resolution. The role requires full-stack Java and web application development experience, including Spring, REST and SOAP services, SQL, J2EE, testing, responsive design, CI/CD, and Agile methodologies. Provides technical supervision on small projects while collaborating across multiple concurrent efforts.

Leads a software engineering squad developing fintech services for invoice ingestion, funder allocation, settlement, and supplier onboarding. Defines technical tasks and architecture, reviews code and designs, maintains testing and quality standards, and ensures production-ready Kubernetes deployments. Facilitates Agile ceremonies, manages delivery risks, coordinates DevOps improvements, and mentors or line-manages 4–8 developers. The role requires strong Java and cloud-native engineering expertise, with Scala or Python experience and knowledge of Angular.

Leads cybersecurity data-source onboarding and integration for Zscaler’s security platform. Builds and automates Python/API-based data transformations, maps and normalizes security data, manages pipeline lifecycle activities, troubleshoots data quality, and identifies security gaps. Partners with cybersecurity SMEs and cross-functional teams to create implementation plans, communicate technical findings, and provide product improvement feedback. The role requires expertise in security platforms, diverse security-tool integrations, data modeling, SQL, and Python.

Provides end-to-end technical support for global clients using Fluent Order Management. Responsibilities include troubleshooting post-implementation issues, resolving incidents within SLAs, automating monitoring, developing and testing enhancements, maintaining runbooks, analyzing operational trends, and communicating with client and IT stakeholders. The role requires rotational shifts and on-call support, along with hands-on experience in Java, GraphQL, REST APIs, Python, API testing, and CI/CD practices.

Designs, develops, tests, deploys, and supports secure, scalable Pega enterprise applications within an Agile squad. Translates requirements into Pega solutions, builds case management workflows and integrations, develops reusable components, applies engineering best practices, troubleshoots production issues, participates in reviews and releases, and contributes to continuous improvement and knowledge sharing.

Own integrations, security, identity, environment configuration, CI/CD, test automation, and production support for a vendor-managed financial services SaaS platform. The role develops REST API integrations using C# and .NET, manages API Gateway and mTLS configurations, remediates vulnerabilities, supports ETL and SQL troubleshooting, coordinates releases, and leads incident resolution with third-party vendors.

Leads software engineering for a payments platform, designing and implementing BIAN APIs, guiding cloud and API engineering teams, governing solution architecture, and ensuring production-ready systems. The role collaborates with architects, business stakeholders, vendors, and upstream and downstream teams to develop target architectures, estimate solutions, support discovery and business cases, improve core product systems, and align technology outcomes with enterprise strategy.