Sr. Database Administrator

• Lead the architecture, implementation, and operational management of enterprise database platforms, focusing on PostgreSQL (including AWS Aurora) and MS SQL Server.

• Own the upgrade program. Plan and execute major-version upgrades across the fleet with minimal downtime, and keep engine versions current enough that they never gate replication or recovery capability.

• Raise the bar on schema-change governance - review standards for migrations, index and locking review, and automated guardrails so unsafe changes are caught before they reach production.

• Partner with security and compliance on encryption, row-level security, least-privilege access, and the evidence our SOC 1/2 and regulatory obligations depend on.

• Be a senior escalation point for database-driven incidents, and turn each one into a durable fix, a runbook, or an alert rather than a repeat.

• Build automation and AI-assisted tooling that makes routine database work self-serve for product engineers, and mentor engineers across the org on data modeling, query design, and operating databases at scale.

• Perform advanced troubleshooting, root cause analysis, performance analysis, capacity planning, tuning, backup, recovery, and disaster recovery planning.

• Establish database monitoring and reliability frameworks while driving IaC adoption with Terraform and integrating CI/CD for automated provisioning, deployments, upgrades, and testing.

• Collaborate with software engineering, DevOps, Analytics and product teams to provide architecture guidance, technical consultation, and platform support.

• Define and implement database engineering standards, configuration management practices, governance processes, and operational procedures.

• Evaluate emerging database technologies by using proof-of-concepts, and modernization initiatives.

• Use AI agents, LLM-powered tools, and automation to handle routine work like query analysis, schema reviews, documentation, and troubleshooting more efficiently

• Champion Kanban delivery practices, operational excellence, and continuous improvement across database engineering services.

• Mentor engineers and promote engineering excellence through coaching, knowledge sharing, and technical leadership.

• At least 7-8 years administering production PostgreSQL, including databases that the business depends on around the clock.

• A bachelor’s degree in computer science or a related field, or equivalent practical experience.

• Deep expertise in PostgreSQL internals (MVCC, vacuum behavior, replication, and query planning) and query/workload tuning, alongside comfort utilizing AI assistants, copilots, and LLM-powered tools.

• Proven experience operating PostgreSQL on AWS RDS/Aurora (instance sizing, parameter groups, monitoring, engine upgrades) and designing/testing high availability and disaster recovery solutions.

• Solid Linux administration and scripting in Bash and/or Python.

• Experience working within a formal change management process in a regulated, audited or otherwise controlled environment.

• The ability to explain database risk and trade-offs clearly to non-technical stakeholders and to senior management.

• Authorization to work in the United States.

• A team-first mindset where success is defined by what we accomplish together

• A proactive, curious attitude and a genuine desire to keep learning




Nice to Have Qualities

• Database & Platform Expertise: Experience administering Microsoft SQL Server, containerized PostgreSQL on Kubernetes (persistent storage, backups, failover), and cloud infrastructure automation using Terraform or Ansible.

• Modern Data & AI Integration: Proficiency in AI best practices (e.g., Claude) and deploying AI agents to automate database workflows alongside hands-on experience with Snowflake, ElastiCache/Redis, or OpenSearch.

• Enterprise Delivery & Compliance: Proven track record supporting large-scale data migrations, platform integrations, and maintaining compliance within audited environments such as SOC 1 or SOC 2.

Tech Stack that You'll Work With

• Hosting & Administration: AWS RDS and Aurora

• Database Systems: PostgreSQL and MS SQL Server

• Languages: SQL, Python, and Shell Scripting

• AI & Agentic Tools: LLM-powered assistants like Gemini, Claude, and GitHub Copilot, alongside AI-driven automation workflows

• Data Warehouses & Integration: Snowflake, FiveTran, Celigo, and Boomi

• Build & Deployment: GitHub Actions, Terraform, Liquibase, and Jenkins

• Analytics & Logging: DataDog and Power BI

• Communication: Atlassian Jira and Slack

Benefits