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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating production PostgreSQL systems, with a strong focus on SQL optimization, automation, and AI-assisted analysis to enhance performance and cost efficiency. Proven ability to manage complex database environments and collaborate effectively across distributed teams.
Highest-signal resume keywords
PostgreSQL Production ExperienceSQL Optimization SkillsCDC Tools ProficiencyProduction Automation in Python or GoAI-Assisted Analysis
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Develop, operate, and scale relational database systems serving data at petabyte scale
- Own the serving layer end to end, including query performance, cost, and availability
- Maintain five-nines customer-facing API performance and availability through query tuning, index design, and schema optimization
- Use AI-assisted analysis with pganalyze and Claude to identify and ship compression and data-model improvements
- Build agentic automation for pgbouncer provisioning, disk scaling, and blue-green deployments
- Drive validation of database changes before production deployment
- Manage CDC pipelines using PeerDB, Fivetran, and Debezium
- Debug replication failures using AI tooling
- Migrate workloads from first-generation infrastructure and prototype new data stores
- Create AI-native runbooks and internal tooling
- Collaborate asynchronously with distributed teams across US and Canada working hours
- Participate in an on-call rotation approximately once every 15 days, with each shift a 24-hour window across 2 days
Requirements
What you’ll need- 5–8 years building and operating production PostgreSQL (Citus, Aurora, AlloyDB, or equivalent distributed Postgres)
- Deep SQL optimization skills, including Explain Plans, CTEs, window functions, partitioning, index design, and query-planner behavior in distributed environments
- Hands-on experience with CDC tools such as PeerDB, Fivetran, Debezium, Datastream, or Airbyte
- Fluency with database profiling using pganalyze or equivalent to interpret metrics and logs
- Production automation experience in Python or Go
- Daily use of AI coding tools such as Claude or Copilot
- Track record of using AI-assisted analysis to drive measurable cost or performance improvements in production database systems
- Willingness and ability to participate in an on-call rotation
- Ability to work across US and Canada working hours
- Participation in in-person R&D work weeks and potential additional travel
- AI fluency is a baseline expectation and is evaluated during interviews
Benefits
Comp & perks- In-person R&D work weeks typically 1–2 times per quarter
- TRM coordinates and covers approved travel, lodging, and workspace for work weeks
- Accommodations for legitimate caregiving, health, immigration, and similar constraints
- Competitive benefits, wellness programs, and time away from work, varying by country and local employment requirements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQL OptimizationDatabase ProfilingQuery TuningIndex DesignSchema OptimizationReplication DebuggingWorkload MigrationAutomation ScriptingData ModelingPerformance Improvement
Soft Skills
CollaborationProblem-SolvingAdaptabilityCommunication
Tools & Technologies
PostgreSQLPganalyzePeerDBFivetranDebeziumClaudePythonGoAI Coding ToolsBlue-Green Deployments
Industry Keywords
Relational Database SystemsPetabyte ScaleCustomer-Facing APIOn-Call RotationDistributed EnvironmentsAutomationData StoresAI-Native RunbooksCDC PipelinesQuery-Planner Behavior