Top Tech Jobs & Startup Jobs in Mumbai

Lead design, architecture, and implementation of enterprise-scale AWS data platforms and Lakehouse solutions. Provide technical leadership across solution design, technology selection, implementation, optimization, deployment, and production support; mentor distributed teams and translate business needs into scalable, secure data solutions.

Responsible for developing and maintaining chatbot applications, collaborating with business partners on requirements, and enhancing chatbot capabilities using AI/NLP technologies.

Design, develop, and deploy Tableau dashboards and BI solutions. Build and automate ETL/data pipelines, transform and model data for warehousing, publish to Tableau Server, and collaborate with stakeholders. Provide technical architecture, documentation, and lead teams on multiple large Agile projects while mentoring engineers and ensuring data quality and performance.

Design, build, and deploy production-grade Generative AI platform components across GCP/Azure. Implement RAG pipelines, multi-agent architectures, LLM gateway and execution runtimes, GenAIOps/MLOps practices, AgentOps, and platform CI/CD/infrastructure. Collaborate with implementation partners and LBU teams to deliver reusable, secure, and compliant GenAI services.

Design, develop, and optimize scalable cloud-native AWS data platforms and high-performance batch/analytical pipelines using Spark/PySpark and Apache Iceberg. Implement Lakehouse solutions, optimize query and storage performance, ensure observability, data quality, and production support, and follow CI/CD and data engineering best practices while collaborating with stakeholders.

The Senior Software Developer will design and develop scalable backend services and APIs, optimize data models, manage AI integrations, and mentor junior engineers in an agile environment.

Lead architecture and design of cloud data analytics solutions on AWS. Advise customers, run discovery/design workshops, support sales and proposals, guide migrations/modernizations, build ETL/API/SQL solutions, and collaborate with partners for productization and thought leadership.

Lead enterprise application modernization initiatives by defining modernization strategies (replatform, refactor, rebuild), transforming monoliths into microservices, conducting application discovery and technical debt analysis, designing cloud-native architectures, implementing containerized CI/CD pipelines, using code-quality/security tooling and agentic AI for migration, and driving client-facing consulting, pre-sales, and executive stakeholder engagements.

Lead end-to-end enterprise application migrations to AWS: perform discovery, dependency mapping, codebase assessments, and risk analysis; design cloud-native architectures; deploy and troubleshoot apps on EC2 Linux; modernize .NET, Java, Python, and Node.js stacks; enhance CI/CD pipelines; use agentic AI and code-quality tools; provide technical leadership, client-facing consulting, pre-sales support, and migration runbooks and documentation.

Lead platform engineering and AWS cloud migrations from on-prem VMware to AWS. Architect, deploy, and maintain cloud infrastructure; design hybrid networking and security; automate migrations and CI/CD using IaC, scripting, and configuration management; troubleshoot OS and database migrations; and optimize post-migration performance.