Top Software Engineer Jobs in Mumbai

Provides technical strategy and guidance for complex software engineering initiatives. Leads proof-of-concepts, architecture and engineering practice development, troubleshooting, roadmap ownership, and cross-team delivery. Develops hands-on Java and API solutions using AWS, microservices, automation, and continuous integration tools. Mentors engineers, collaborates with Scrum teams and vendors, and ensures effective technical direction and project delivery.

Leads an integrated data, AI, analytics, and product engineering organization. Owns strategy, roadmaps, architecture, technical standards, production service levels, AI governance, client relationships, budgets, hiring, and organizational growth. Directs delivery of data platforms, dashboards, machine learning models, generative AI solutions, and full-stack applications while ensuring measurable business value, operational stability, responsible AI practices, and strong stakeholder governance.

Develops, tests, debugs, and supports software systems and tools. Provides application and end-user support, integrates third-party components, performs root cause analysis, resolves software incidents, reviews code, creates test documentation, and collaborates with stakeholders. Participates in on-call support and assists with system administration and monitoring activities.

Design, build, and maintain full-stack web applications supporting AI-driven product discovery, search, recommendations, personalization, and consumer experiences. Lead frontend technical design, develop React and TypeScript components, integrate backend APIs and AI capabilities, optimize performance and reliability, and contribute to backend services. Mentor engineers, participate in technical reviews, and collaborate with product, design, data, AI, and engineering teams.

Designs, builds, and operates scalable backend services, APIs, microservices, and event-driven systems supporting personalization, recommendations, search, and AI-driven consumer experiences. Partners with AI/ML, data, product, and engineering teams; integrates search and generative AI capabilities; improves performance, reliability, observability, security, and operational excellence. Leads technical delivery, mentors engineers, contributes to architecture reviews, and promotes engineering best practices.

Develop, test, and support scalable APIs and backend services for financial institution integrations. Build reliable software, implement automated tests, troubleshoot production issues, participate in code reviews, and collaborate with Product, Architecture, Security, and SRE teams. Improve observability, automation, security, and operational efficiency while applying modern cloud, distributed-systems, and software engineering practices.

Build and ship frontend-first CRM Opportunities features in Vue.js, including scalable drag-and-drop pipeline boards, dynamic deal views, filters, saved views, bulk actions, and reporting. Optimize performance for large datasets, manage client-side state, support real-time collaboration, extend NestJS APIs, write automated tests, instrument production behavior, and maintain accessibility and responsive design. Participate in on-call, debugging, design documentation, and code reviews while progressively owning larger product areas.

Develops and maintains Salesforce solutions using Apex, Lightning Web Components, Flow, Triggers, and SOQL/SOSL. Builds integrations with REST and SOAP APIs, implements Sales Cloud and Service Cloud business processes, writes tests, troubleshoots defects, supports deployments, and participates in design, code reviews, production support, and cross-functional collaboration. The role emphasizes scalable, secure, reusable, and performance-optimized Salesforce development using Salesforce CLI, SFDX, Git, and CI/CD tools.

Design and maintain automated tests across APIs, backend services, web and mobile interfaces, and blockchain components. Define quality strategies, assess risks, analyze test results and incidents, and build CI/CD-integrated testing pipelines. Collaborate with engineering, DevOps, and product teams to improve testability, reliability, performance, security, and observability. Mentor engineers and, at Staff level, set cross-team technical direction for quality engineering, testing standards, frameworks, and tooling.

Own and modernize Pearl’s Drupal platforms, including upgrades, security, troubleshooting, and support. Build scalable backend services with C# and .NET Core, frontend applications with React and TypeScript, and AI-powered features using LLMs. Contribute to high-traffic systems, production support, testing, architecture, incident response, and cross-functional product delivery while providing technical leadership.

Design, build, and lead scalable backend services and AI platform systems using Node.js, TypeScript, AWS, databases, and modern LLMs. Own architecture, reliability, security, observability, CI/CD, and performance across multiple teams. Mentor engineers, guide technical direction, collaborate cross-functionally, and ship agentic AI products in a startup environment. The role remains hands-on, covering distributed systems, APIs, cloud infrastructure, and end-to-end solution design.

Design and implement quality engineering strategies for AI-powered applications, LLMs, RAG pipelines, copilots, and autonomous agents. Build scalable Python automation frameworks, AI evaluation pipelines, synthetic datasets, and validation workflows. Test APIs, microservices, distributed systems, and agent orchestration while integrating quality gates into CI/CD. Validate vector databases, model behavior, safety, observability, reliability, performance, and cloud deployments across Docker, Kubernetes, and major cloud platforms.

Design, develop, integrate, and maintain scalable software solutions for financial-sector clients. Collaborate in Agile teams across business analysis, architecture, development, and the full product lifecycle. Solve complex technical and business problems, automate workflows, communicate with clients and internal teams, and evaluate emerging technologies to improve product quality, performance, security, and usability.

Designs, develops, and optimizes scalable ETL/ELT pipelines and data platforms using Azure Data Factory, Databricks, PySpark, Spark SQL, HPCC, and ECL. Ingests and transforms structured and semi-structured data from diverse sources, develops data models and optimized workloads, and collaborates with analysts, data scientists, and application teams to deliver secure, reliable solutions for analytics and operational needs.

Develops and maintains large-scale production services, web applications, data pipelines, and streaming systems. Designs, codes, tests, debugs, and certifies software while ensuring compliance with engineering standards. Supports engineering teams, researches and documents findings, reviews code and tests, resolves production issues across the technology stack, and helps improve engineering processes, tooling, and standards. May coach team members and independently manage projects and competing priorities.

Develop and maintain a VB.NET WinForms billing workflow application, optimize SQL Server databases and T-SQL, implement automated tests, and support modernization toward ASP.NET Core and Blazor. Collaborate with business stakeholders, participate in code reviews and technical design, improve performance and code quality, and use AI-assisted development tools. The role is remote and offers mentorship while increasing technical ownership.

Support and improve on-premises and Azure data platforms through pipeline monitoring, incident resolution, troubleshooting, automation, and observability. Maintain Python-based jobs, Windows servers, cloud data services, logging, alerting, dashboards, and operational documentation. Perform root cause analysis, resolve production issues, track reliability metrics and SLAs, communicate with stakeholders, and automate repetitive support activities to improve platform performance and reliability.

Build and maintain scalable data integration systems, including web scrapers, API integrations, automated ingestion workflows, microservices, and backend services. Implement monitoring, logging, alerting, security, and error handling; troubleshoot production issues and optimize performance. Collaborate with product managers, engineers, and stakeholders on technical design, code reviews, documentation, and continuous improvement.

Build and improve scalable full-stack SaaS capabilities, including APIs, microservices, database models, frontend experiences, and AI-powered product features. Own features end-to-end from discovery through production monitoring, collaborate with Product and Design, review human- and AI-generated code, mentor teammates, and advance engineering practices. The role requires extensive enterprise software experience, customer collaboration, event-driven architecture, and familiarity with regulated SaaS environments.

Lead architecture and development of cloud-native, containerized microservices. Build event-driven backends, gRPC/REST APIs, and telemetry pipelines using graph and time-series databases. Integrate AI/ML models into data pipelines and deploy applications with Docker and Kubernetes.

Build and deploy AI-powered customer solutions across discovery, prototyping, and production. Responsibilities include designing secure multi-tenant and hybrid architectures, integrating identity and access management, encryption, networking, data engineering, CI/CD, observability, and production support. The role partners directly with enterprise customers, executive sponsors, and cross-functional teams to solve ambiguous problems, demonstrate prototypes, and standardize successful solutions. Regular domestic and occasional international travel is required.

Develop LabVIEW-based test, measurement, data acquisition, traceability, and diagnostic applications for automated automotive machines. Integrate PLCs, instruments, NI DAQ devices, CAN/LIN systems, scanners, databases, and MES platforms. Create test sequences, operator interfaces, reports, and data logging solutions; troubleshoot hardware, software, and communication issues; and support machine validation, commissioning, and customer acceptance. Maintain documentation, source code, and version control while collaborating with Controls, Electrical, and Mechanical engineering teams.

Develop and maintain Java-based software solutions using Java 8+, Spring Boot, microservices, APIs, PostgreSQL, Git, Jira, Linux, and CI/CD workflows. Collaborate with technical and business teams in a remote environment, with opportunities to support B2C applications and frontend development. The role requires strong communication skills and deployment at a client in Malaysia.

Build and evolve high-throughput backend systems and REST APIs for Priceline’s travel applications. Lead mission-critical projects, develop Java and Spring-based microservices, write SQL queries for real-time analysis, and design scalable cloud applications using GCP, Kubernetes, and Docker. Collaborate with cross-functional Agile teams, influence technical solutions, mentor engineers, communicate with stakeholders, and promote engineering best practices, continuous integration, and automated testing.

Build and maintain healthcare technology products, including APIs, platform features, ReactJS components, and AI/ML solutions. Responsibilities include debugging production issues, improving performance, writing tests, conducting code and architecture reviews, leading releases, mentoring engineers, and collaborating with cross-functional teams. Potential areas include telemedicine, pharmacy platforms, delivery, personalization, fraud detection, and operational automation.