Top Tech Jobs & Startup Jobs in Mumbai

Convert delivery-team project and architecture details into AWS Competency- and Service-Delivery-ready documentation: technical validation write-ups, architecture diagrams, and case studies. Use AI tools for drafting while ensuring accuracy, maintain consistent formats across engagements, flag missing details, and meet fixed Partner Program deadlines.

Develop and execute channel partner programs, recruit and enable partners (e.g., Microsoft, Google, Anthropic, Snowflake, Databricks, OpenAI), build joint GTM and certification roadmaps, generate partner-sourced leads, align with sales and marketing, and monitor partner performance with regular reporting.

The Project Manager is responsible for managing project scope, timelines, budgets, and coordinating with teams for successful execution of data platform solutions.

Assist in recruiting engineers and consultants for 90 days, including resume filtering, interview scheduling, and offer letter creation.

As a Cloud Engineer intern, you will configure and deploy cloud architectures, support customers' cloud deployments, maintain infrastructure, and improve monitoring systems.

Own daily accounting for US and India entities: daily close, transaction categorization, daily cash position and 13-week forecast, revenue recognition for fixed-fee SOWs, AP/AR and collections, budget vs actual for partner-funded programs, compliance and statutory calendar, manage external CPA/CA reviewers, intercompany reconciliations, and prepare payments for founder approval.

Lead delivery for Aedeon: decompose founder product notes into epics and acceptance criteria, run scrum and release cycles, make intra-release prioritization calls, validate release readiness, coordinate deployments with DevOps, and ensure high quality and on-time shipping for enterprise customers.

The Senior Database Developer will lead Oracle to PostgreSQL migration, involving SQL refactoring, performance tuning, and collaboration with teams for seamless integration.

Lead and support Amazon Aurora PostgreSQL environments, focusing on migration from Oracle, database performance tuning, and operational management.

Develop and maintain data pipelines using AWS technologies. Collaborate with teams to design data solutions and optimize existing systems. Create data models and perform end-user querying.