Top Tech Jobs & Startup Jobs in Mumbai

Operate and support Kafka ecosystems (Cloudera/Confluent/open-source), manage Kafka/Zookeeper, capacity planning, performance tuning, security (Ranger, Kerberos, SSL), automation (Ansible, Jenkins, Git, Maven, Python, shell), monitoring, debugging, RCA, on-call coverage, create SOPs and operational manuals, and recommend service improvements.

Manage copyright and IPR matters, coordinate with external advocates, draft and vet legal documents and pleadings, support civil and criminal litigation, attend court, maintain case records, and report legal updates to management.

Drive new business and manage end-to-end sales for Omicron's instrumentation (pressure, temperature, level, HVAC/BMS, air and water quality sensors). Build relationships with consultants, contractors, OEMs, and end-users; lead and mentor a sales team; attend client/site meetings and industry events; coordinate with internal teams for order execution and after-sales support; monitor market trends and competitor activity.

Lead inbound growth for a B2B SaaS company by planning and executing online and offline campaigns, managing content marketing and social media, optimizing paid and organic acquisition, analyzing performance with web analytics, supporting landing page and UX improvements, coordinating PR and events, and evaluating emerging marketing technologies.

Design, develop, and deploy a consumer OS based on AOSP. Implement and maintain HAL/framework components for camera, display, and audio (drivers, HAL, BSP). Use Agile processes with JIRA, Git, and CI (Jenkins/Bitbucket Pipelines). Collaborate with architects and engineering managers to deliver scalable, modular libraries and tools for AR/VR products.

Maintain and troubleshoot Linux physical and virtual servers, perform OS installs, performance tuning, LVM and filesystem management, patching/upgrades, HA cluster (Pacemaker) installation and troubleshooting, automation with shell/Ansible, handle incidents, alerts, user service requests, and conduct root cause analysis.

Lead design and development of high-volume, low-latency, event-driven backend systems. Define architecture, mentor senior engineers, build scalable microservices, optimize data stores, deploy on cloud platforms, and translate product requirements into robust technical designs.

Manage strategic and operational aspects of client relationships and partner onboarding. Analyze data to identify P&L and revenue opportunities, liaise with product and engineering to implement strategies, ensure high levels of client service, and monitor competitor and ad-tech landscape. Serve as primary client contact to grow spend through programmatic channels and DSP partnerships.

Lead design and development of high-volume, low-latency, real-time event-driven backend systems. Architect and deliver high-availability microservices, optimize performance, diagnose bottlenecks, mentor engineers, and collaborate cross-functionally to translate business needs into scalable technical solutions.

Design and build scalable production systems and data pipelines to support GenAI and ML models. Collaborate with data scientists to integrate NLP and deep learning models into backend services, ensure code quality, security, and performance, and lead backend ownership for AI/ML projects.