Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Design and scale distributed, high-availability systems and platform architectures. Define frameworks, tooling, and standards, contribute hands-on to prototypes and production, guide teams on reliability, observability, and operational excellence, and align technical decisions with product and business priorities.

Support and improve reliability, scalability, and performance of large-scale databases across cloud and on-prem. Build automation, Kubernetes operators, GitOps workflows, and tooling in Go or Python; implement observability, capacity planning, failover, backups, schema migrations, and self-healing systems; partner with application teams and leverage AI to improve operations and engineering productivity.