Software Engineer Manager (Database Observability)

About the role

We are looking for an experienced Engineering Manager (M3) to lead a senior, high-performing team building next-generation Database Observability products. Your team will own the entire lifecycle of critical telemetry data flows from lightweight database agents and high-throughput ingestion pipelines to intelligent DB recommendation engines and autonomous DB AI Agents.

What you'll do

• Manage a full-stack engineering team (6–8 engineers) spanning backend systems, database telemetry, agent engineering, and UI workflows
• Own end-to-end delivery sprint planning, roadmap execution, system quality, and operational excellence for critical database ingestion and recommendation pipelines
• Guide the team in harnessing cutting-edge AI technologies including Agentic AI, MCP, and LLMs to evolve database observability from passive monitoring to automated
• Drive architectural discussions around high-throughput, low-latency ingestion, streaming telemetry (Kafka), and database agent development
• Partner closely with Product Management and Design to translate high-level vision into actionable, well-engineered execution plans

What you need

• 10–18 yrs of experience
• Java
• Python
• Kafka
• Go
• Microservices
• Docker
• Any graduate

Good to have

• Kubernetes
• LLMs
• CI/CD
• Incident response
• ETL
• NoSQL