Top Tech Jobs & Startup Jobs in Mumbai

Design and maintain scalable Python microservices, REST APIs, WebSockets, background jobs, and event-driven systems. Deploy AWS infrastructure using Terraform or AWS CDK, build CI/CD pipelines, optimize PostgreSQL, DynamoDB, and Redis data layers, and enforce secure authentication and access controls. Develop frontend features with React, Next.js, and TypeScript, while integrating AI/LLM capabilities, agentic frameworks, RAG workflows, and vector databases. Lead backend architecture and ensure quality through automated testing and LLM evaluations.

Design, develop, test, and deploy MuleSoft API-led integrations connecting Salesforce with external platforms, warehouses, Anaplan, and partner systems. Lead data transformation, event-driven integrations, security, API governance, and contract design. Conduct technical workshops, gather requirements, document solutions, coordinate with stakeholders and vendors, and independently own integration initiatives through production deployment and post-launch support.

Design and implement complex web applications, improve engineering and quality standards, create CI/CD pipelines, support technical hiring, and coach junior and mid-level engineers. The role requires advanced Node.js development, TypeScript and React, database querying, testing, Docker-based deployment, AWS infrastructure configuration, and Kafka knowledge.

Lead QA automation initiatives by architecting frameworks, migrating automation suites to Playwright, and developing UI and API tests. Integrate testing into CI/CD pipelines, define quality metrics, maintain testing infrastructure, document standards, conduct peer reviews, assess product quality, mitigate testing risks, and provide technical guidance and onboarding for QA teams.

Designs and implements web and API test automation frameworks, migrates automation to Playwright, integrates tests into CI/CD, and measures product quality. The role defines testing standards, develops functional UI and service-level tests, maintains testing infrastructure, conducts peer reviews, manages risks, documents strategies, reports quality outcomes, mentors team members, and advises QA teams. Requires strong JavaScript, testing methodologies, database, cloud DevOps, version control, and Agile expertise, with four hours of overlap with Central US hours.

Lead design and maintain a secure, production AWS environment for an Agent Development Platform. Implement Firecracker MicroVMs or container isolation, provision and scale vector and graph databases, build event-driven streams, automate infrastructure with IaC and CI/CD, integrate identity for multi-tenancy, and enforce strict egress controls to prevent data exfiltration.

Lead design, build, and scale production-grade Generative AI applications using LLMs, RAG, LangChain, vector databases, and agentic systems. Own AI orchestration, containerized Kubernetes deployments, CI/CD, data ingestion from enterprise sources, monitoring for high uptime, and governance/compliance to deliver measurable business impact and reusable AI accelerators.

Backend-focused Senior .NET Engineer responsible for building new functionality, contributing to architecture and code reviews, collaborating with stakeholders, ensuring high coding and test standards, improving solutions and processes, supporting field issues, and using AI tools to accelerate development.

Lead and execute end-to-end embedded firmware development for devices—from requirements through production and post-production support. Design, implement, test, debug, and optimize system software and I/O, interface with hardware, validate new product designs, assess third-party/open-source software, support QA, perform research and prototypes, and mentor junior teammates.

Lead design and delivery of scalable Python backend and AI platforms. Architect microservices, integrate LLMs and vector retrieval, build AI workflows, optimize data pipelines with Databricks and SQL, lead cloud deployments on Azure/AWS, mentor engineering teams, and collaborate with product and data science to productionize Generative and Agentic AI solutions.