Top Software Engineer Jobs in Mumbai

Develop and maintain Node.js backend APIs, integrate vendor products with internal platforms, and build orchestration layers. Responsibilities include database optimization, indexing, entity and document data management, API security, scalability, performance, testing, code reviews, and documentation. The role requires collaboration with cross-functional teams and work from the Hyderabad office during EMEA hours.

Lead software architecture and development for Lectora Online, including designing, coding, testing, troubleshooting, performance optimization, documentation, and technical standards. Own major product components, guide modernization and AI-powered features, lead testing strategies and automation, collaborate cross-functionally, and mentor engineers. The role requires expert Java and web application development skills, architectural decision-making, and technical leadership.

Lead backend engineering for a centralized AI platform, designing scalable REST APIs and Python services for agent lifecycle management, deployment, monitoring, authentication, authorization, and asynchronous workflows. Develop data layers and database schemas, contribute to distributed architecture and SDK design, and ensure reliability through testing, CI/CD, and security practices. Mentor engineers, guide technical decisions, and work with modern agentic AI frameworks.

Designs and develops scalable, highly available software products and components using Java and Spring. Owns major features, contributes to architecture, performs hands-on development, testing, maintenance, and troubleshooting. Collaborates with product managers and subject matter experts, reviews code and designs, and mentors junior developers. The role focuses on distributed systems, performance optimization, security, and maintaining large codebases through complete software development cycles.

Design, implement, test, and deploy software components for AI-powered solutions. Build and maintain CI/CD pipelines, write unit tests, integrate cloud and distributed systems, work with data engineering tools (Pandas/Spark), and collaborate with stakeholders to estimate and deliver features.

Leads engineering for ERP data management, high-volume email processing, backend APIs, distributed systems, and service architecture. Owns reliability, scalability, security, observability, and iterative platform improvements for 24/7 systems. Acts as a liaison between engineering and business teams, mentors engineers, and collaborates across global teams in India, China, Singapore, and the United States. The role is fully remote from India and requires flexibility for global operations.

Leads complex software development initiatives, designs resilient and scalable full-stack applications, writes advanced code, and mentors developers. Serves as a technical point of contact for internal and external resources, collaborates with Product Owners on solutions and estimates, troubleshoots complex issues, and occasionally supports customer workshops. Requires strong Java, Spring Boot, JavaScript, Angular, API, microservices, database, cloud, and team leadership experience.

Own the CRM Opportunities backend end to end, designing scalable data models, APIs, distributed workflows, event-driven systems, and background jobs. Improve performance and reliability for high-volume, multi-tenant SaaS workloads through indexing, sharding, caching, and query optimization. Build occasional Vue.js UI features, instrument production systems, and lead incident response and postmortems. Translate ambiguous customer and business needs into reliable production services with strong data correctness and operational excellence.

Design, develop, maintain, and deploy .NET-based web solutions across the full software lifecycle. Provide technical leadership, mentor junior engineers, collaborate with cross-functional and international teams, and drive continuous improvement of development practices.

Lead design and delivery of Salesforce Data Cloud CDP solutions: architect data models and ingestion pipelines, integrate with Marketing Cloud (MCP) and MarTech, ensure data quality, privacy compliance, performance, mentor engineers, and support audience segmentation and journey orchestration.

Lead architecture and delivery of Salesforce Data Cloud solutions: design data models and ingestion pipelines, integrate with Marketing Cloud and MarTech, ensure identity resolution, privacy compliance, and performance, mentor engineers, and support audience segmentation and journey orchestration.

Design, develop, and maintain .NET Core applications and microservices on AWS. Lead CI/CD, automate pipelines, troubleshoot production issues, collaborate with application teams, and ensure platform stability and security. Mentor engineers and apply DevOps, monitoring, and AI tools.

Lead design, develop, test, deploy and operate .NET/React microservices on AWS. Build CI/CD pipelines, automation and test frameworks, implement observability, troubleshoot applications, and drive DevOps best practices.

Own complex software engineering problems end to end, from architecture and prototyping through production. Build primarily backend systems while contributing across frontend, infrastructure, data, AI, and internal tooling. Design scalable systems, evaluate AI and LLM approaches, automate workflows, improve engineering practices, and help unblock teammates. The role requires strong independence, product judgment, broad technical ownership, and a focus on continuously improving system quality and development processes.

Build and scale the Reinforcement Learning Environments platform: design backend services and data pipelines, create modular simulation domains, improve reliability and observability, partner with US research and product teams, and ship high-quality maintainable code to support model training and evaluation.

As a Software Engineer at Canonical, you will design, build, and ship software, improve packaging and distribution processes, and mentor colleagues while contributing to open source projects.

The Junior Ubuntu Software Engineer will design, build, and ship software, focusing on quality and resilience, while engaging with the open source community.

Design and build next-generation iOS applications, solve complex engineering problems, write well-documented code, use Objective-C/Swift and Cocoa Touch, integrate RESTful APIs, follow iOS design patterns and Apple guidelines, communicate with team and stakeholders, and deliver production-ready apps.

Lead the design and development of quantitative data engineering models, algorithms, data pipelines, and processing systems on AWS using Python. Build scalable pipelines that ingest, transform, validate, and aggregate large datasets. Develop statistical and machine learning algorithms, optimize performance, evaluate models, create visualizations, and document methodologies. Collaborate with data scientists, analysts, and business stakeholders to deliver reliable customer-facing quantitative solutions and actionable insights.

Develop and maintain full-stack software across development, testing, and deployment. Design REST API backends, write SQL, optimize production code, enforce engineering best practices, and build reusable core components. The role requires independent decision-making, accountability, critical thinking, and strong communication while contributing to products serving immunization data and public health clients.

Develop high-performance core applications that collect and move large volumes of data. Own features and modules across the development lifecycle, building enterprise-grade, server-side, multithreaded, asynchronous, cloud-scale systems. Responsibilities include SQL performance programming, database design, and collaboration across remote teams using Scrum and Agile methodologies. Cybersecurity, SaaS integrations, data modeling, and ontology experience are advantageous.

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.

Own and operate large-scale backend systems supporting network, SD-WAN, SASE, and security infrastructure. Build services, APIs, data pipelines, and automation primarily in Go and Python. Lead system design, incident response, post-mortems, reliability improvements, and greenfield development. Mentor engineers, guide technical decisions, improve engineering productivity, and collaborate across teams on complex platform initiatives.

Conduct offensive security assessments and threat analysis for bank systems; identify vulnerabilities and misconfigurations, report risks, advise stakeholders, and mentor junior assessors while collaborating with security, CIO, and business partners.

Architect and develop scalable, high-performance robotics software and frameworks for real-world deployments. Optimize system performance, integrate multi-modal sensors, manage real-time data, and contribute across the autonomy stack using simulation and visualization tools.