Software Engineer Manager (Database Observability)
New Relic (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 45–80 LPA
Posted on 5 Aug
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Job description
Structured overview of role & requirements
About This Role
- Lead and manage a full-stack engineering team (6–8 engineers) responsible for database telemetry, ingestion pipelines, AI-driven recommendation engines, and related UI workflows.
- Own end-to-end delivery including sprint planning, roadmap execution, system quality, and operational excellence for critical database observability components.
- Set strategic technical direction focusing on high-throughput, low-latency ingestion systems and AI technologies to evolve database observability products.
Minimum Requirements
- Minimum 10 years of total software engineering experience with at least 2 years managing engineering teams.
- Strong technical background in backend and distributed systems using languages like Go, Java, or Python.
- Foundational understanding of relational and NoSQL database engines and performance metric collection under heavy production loads.
- Experience with modern development practices including CI/CD, microservices, containerization (Docker, Kubernetes), and production observability.
Ideal Candidate Profile
- Experienced in leading senior-level engineers and domain experts in distributed systems and AI-driven applications, especially in observability or database engineering.
- Proven success delivering complex, multi-quarter technical initiatives on schedule with high quality, managing team health and technical debt.
- Familiarity with cutting-edge AI-assisted development tools and practices (e.g., Agentic AI, LLMs, MCP, Claude Code, Copilot) and real-time streaming architectures like Apache Kafka.