Top Tech Jobs & Startup Jobs in Mumbai

Build internal tools, automations, and AI-augmented workflows by embedding with teams, generalizing solutions into reusable platforms, integrating with vendors and internal systems, and creating measurement pipelines to track spend, adoption, and ROI signals.

Build and scale centralized end-to-end testing platforms, CI/CD workflows, and AI-augmented internal tools to improve developer experience and automate test reliability for mobile and web applications. Integrate tests into pipelines, design execution strategies, observability dashboards, and provide strategic consulting and evangelism to product teams.

Build internal tools, automations, and AI-augmented workflows by embedding with product teams, generalizing solutions into shared platforms, integrating AI vendors, and creating measurement pipelines to track spend, adoption, and outcomes.

The Associate Data Engineer will work on big data systems, support cloud migration, analyze data to improve products, and troubleshoot data infrastructure issues.

Build internal tools, automations, and LLM-powered workflows; embed with product teams to prototype and generalize solutions; create data pipelines and measurement layers to track AI and tool usage; ensure telemetry, reliability, and reusable platform patterns.

Design, operate, and evolve end-to-end observability solutions (metrics, logs, traces) across infrastructure and Kubernetes. Administer platforms (Splunk, New Relic, Grafana, ClickHouse, Lightrun), optimize telemetry pipelines for scale and cost, standardize instrumentation and alerting, support SLO-driven reliability, lead incident investigations and postmortems, and enable teams through governance, tooling, and automation.

The Catalog Coordinator will review and update hotel data, use SQL for analysis, contribute to BI dashboards, and collaborate with multiple teams to improve catalog quality.

As a Senior Site Reliability Engineer, you will enhance observability systems, support production reliability, and improve incident response times through effective monitoring and analytics strategies.

The Senior Data Scientist will translate business problems into ML challenges, develop scoring and ranking models, and design content personalization strategies while collaborating across teams.

Lead product discovery, define vision and outcomes, prioritize backlog, and drive delivery by partnering with design, engineering, data, and business stakeholders to reduce flight P&L risk and deliver measurable business value.