Top Software Engineer Jobs in Mumbai

Lead design and delivery of scalable, resilient cloud-native platforms for customer and banker experiences. Drive architecture decisions, reusable engineering patterns, DevSecOps, observability, CI/CD and data pipelines. Partner with product, risk and business stakeholders, embed security/privacy and responsible AI, mentor engineers, and shape platform strategy across cloud, APIs, workflow orchestration and AI-enabled capabilities.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Build, ship, and improve Pebble’s iOS and Android mobile applications while identifying product friction across onboarding, activation, retention, conversion, and monetization. Develop prototypes and experiments, analyze user and product data, define success metrics, and use results to guide future decisions. The role combines production mobile engineering with product ownership, growth experimentation, conversion optimization, and cross-functional collaboration with founders and business leadership.

Develop and maintain Java backend services using Spring Boot, design RESTful microservices, optimize JVM performance, implement Spring Security, and collaborate on front-end integrations. Contribute to CI/CD pipelines using Jenkins, SonarQube, and Ansible; ensure scalable, reliable systems; follow code review practices; and participate in Agile sprint planning, estimation, and technical discussions.

Lead the design and development of scalable reporting solutions, mentor engineers, manage stakeholders, and promote innovative technologies in a financial services context.

Build and ship scalable SaaS features for government agencies using ReactJS, TypeScript, GraphQL, NodeJS, and Python. Responsibilities include end-to-end full-stack development, technical design, debugging, cross-functional collaboration, AI-driven workflow development, operational improvement, and mentoring junior engineers. The role requires expertise in software engineering fundamentals, databases, algorithms, observability, GraphQL APIs, and event-driven architecture.

Develop and support ASP.NET Core applications and database-driven solutions using C#, .NET, and MS SQL Server. Build RESTful APIs, implement business logic, optimize queries and stored procedures, use ORM tools, troubleshoot defects, conduct root cause analysis, write unit and integration tests, participate in code reviews, and manage Agile sprint tasks through Zoho Sprints.

Design, develop, test, debug, and support software solutions across modern and legacy technologies. Collaborate on requirements, code reviews, pair programming, security, risk mitigation, and delivery estimates. Improve engineering processes and product quality while contributing to AI-assisted development, innovation, and continuous professional growth. The role operates independently on well-scoped tasks and supports less experienced team members.

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.

Lead a squad to design, build, and operate scalable full-stack applications (backend-focused Java/Spring Boot). Own delivery end-to-end, mentor engineers, improve engineering quality, drive CI/CD/observability, modernize legacy systems, and collaborate with product and stakeholders to deliver reliable, production-ready solutions.

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.

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

Develop business-critical features for media and web delivery products. Translate high-level designs into scalable, secure, maintainable software; make performance and architecture decisions; collaborate across engineering, product, architecture, and QA teams; and deliver implementations on strict schedules.

Design, develop, and maintain scalable cloud-native software and observability platform capabilities. Own end-to-end feature delivery, troubleshoot complex defects and performance issues, conduct root cause analysis, and improve reliability. Build CI/CD pipelines, automation frameworks, containerized deployments, and Kubernetes solutions. Collaborate with architects, product owners, and engineering teams in Agile/Scrum environments while applying modern software practices and AI-assisted development tools.

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.

Design, develop, and maintain cloud-native microservices in Java; deploy containerized applications on AWS EKS; work with Aurora/PostgreSQL, Redis; troubleshoot production issues; contribute to architecture and CI/CD.

Build and deliver full-stack features for agency management, onboarding, and billing systems. Develop scalable APIs, microservices, integrations, data models, queries, and modern frontend workflows. Own features through planning, implementation, testing, deployment, monitoring, and production support. Collaborate with product, design, and engineering teams; troubleshoot issues using observability tools; contribute to code reviews, incident resolution, security, reliability, and AI-assisted development practices.

Lead full-cycle software engineering for .NET applications, including development, microservices, REST APIs, cloud deployment, CI/CD, test automation, monitoring, debugging, and troubleshooting. The role uses AWS or Azure, supports CI/CD platforms and deployment tools, builds automated testing strategies, and collaborates with application teams to maintain cloud platform stability and security. It also involves leading teams, driving process automation, and applying Agile, TDD, and BDD practices.

Provides technical leadership for large-scale cloud-native software projects, including architecture, microservices, Azure infrastructure, Kubernetes, Terraform, CI/CD, and production operations. Leads design reviews, code reviews, technical roadmaps, and engineering best practices. Evaluates responsible AI-assisted development tools, collaborates across product and engineering teams, resolves complex technical challenges, and drives scalable, secure, cost-efficient software delivery without direct people management.

Design, build and maintain APIs, services and distributed microservice systems across backend and frontend. Contribute to architecture, code reviews, CI/CD, observability and DevSecOps. Mentor junior engineers, collaborate cross-functionally, and evaluate AI-assisted engineering tools to improve development productivity and quality.

Architect and deliver scalable software solutions for core banking platforms. Lead system architecture improvements, full-stack development, API and web application delivery, automation, performance optimization, troubleshooting, and secure DevSecOps practices. Collaborate with stakeholders and cross-functional teams to align technology solutions with business and architecture strategies, support early issue identification, and contribute to technical strategy and team culture.

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.

Design, build, and lead production-grade agentic AI systems: multi-agent orchestration, backend services, LLM evaluation, observability, and AWS deployments while mentoring engineers and enforcing DevOps and security best practices.

The role involves building and scaling the Acceldata Open Data Platform, focusing on observability, coding, debugging, and collaborating with teams and the open-source community.