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Tier-1 employer and metro location, but niche senior Postgres-Kubernetes skillset limits applicant density.
Deep Postgres platform, Kubernetes, and pgVector expertise creates strong domain dependency.
Explicit 10–14 years and mandatory PostgreSQL, Kubernetes, and automation skills enforce strict filtering.
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Design and operate large-scale PostgreSQL clusters including replication, partitioning, connection pooling, and performance tuning to support billions of transactions monthly.
Deploy and manage PostgreSQL on Kubernetes using operators like CloudNativePG and Patroni with automation for failover and storage optimization.
Build and maintain automation frameworks using Ansible for provisioning, patching, upgrades, disaster recovery, and optimize pgVector AI/ML workloads.
10–14 years of experience in database administration and platform engineering.
6–10+ years of production PostgreSQL experience at scale with skills in partitioning, logical replication, PgBouncer, pgBackRest, and WAL tuning.
3+ years experience managing stateful workloads on Kubernetes including operators, persistent storage, backup/restore, and multi-cluster patterns.
3+ years building automation frameworks in Python, Bash, Ansible with infrastructure authoring experience.
Experienced in designing and operating self-healing, automated, self-service database infrastructures at scale.
Strong knowledge of PostgreSQL internals and operational best practices, capable of mentoring other engineers.
Familiarity with advanced workloads such as pgVector for AI/ML embedding pipelines and comfortable with agentic coding or LLM-augmented operations.