Top Tech Jobs & Startup Jobs in Mumbai

Design, build, and deploy Marketing Mix Models and Bayesian statistical models to measure marketing effectiveness, forecast, and inform budget allocation. Apply causal inference and experimentation, analyze large marketing datasets, build Python analytics pipelines, and produce dashboards in Power BI or Looker Studio. Communicate findings and recommendations to stakeholders.

Lead full-stack developer building React front-ends and Python/PySpark backends, integrating Databricks, implementing REST APIs, and deploying via Bitbucket to AWS/Azure. Ensure performance, scalability, code quality, and support cloud deployments and maintenance.

Freelance Business Development Executive responsible for sourcing and onboarding new clients for US and domestic IT staffing. Build relationships with hiring managers, HR, procurement, MSPs and staffing partners; gather requirements for FTE, CTH, and Contract roles; coordinate with recruiters; support onboarding, commercial discussions, and account management while maintaining a strong pipeline.

Design, develop, and maintain scalable Java backend applications and microservices. Build and consume RESTful APIs, deploy with Docker and Kubernetes on GCP, write and optimize SQL, and collaborate with cross-functional teams to troubleshoot and improve performance.

Lead testing for microservices and data pipelines, design and execute automated tests (unit, API, ETL, load), integrate tests into CI/CD, validate NoSQL and Snowflake data, and mentor/test-driven development practices.

Partner with the Founder & CEO to drive strategic priorities, growth, and operational execution across sales, delivery, talent, and partnerships. Lead cross-functional initiatives, build dashboards and KPIs, manage forecasts and business reviews, prepare executive and investor materials, and support GTM and market intelligence for a growing Data & AI consulting firm.

Design, build, and scale cloud-native Python backend services and data-backed applications. Develop RESTful APIs, microservices, and asynchronous event-driven systems. Deploy and operate production workloads on Kubernetes and at least one public cloud (AWS or Azure). Work with cloud data warehouses (Snowflake or Databricks) and relational databases, ensuring scalable, reliable distributed systems.

Build and prepare data pipelines: mapping, cleansing, transformation, integration, and wrangling using Python and SQL. Perform feature engineering for structured and unstructured data and support API and web app deployment for data products.

Lead SRE responsibilities for reliability, scalability, performance, monitoring, automation, disaster recovery, DR drills, chaos testing, capacity planning, security best practices, and documentation while collaborating with development and business teams.

Design, build, and maintain scalable backend services and microservices using Go and Python; develop REST/gRPC APIs; integrate databases and cloud services; write tests, perform code reviews, debug production issues, and collaborate cross-functionally.