[Hiring] Principal Solutions Verification Engineer (Database & AI) @EDB

Role Description

We are hiring a Senior Solutions Verification Test Engineer to own and validate end-to-end solutions based on the EDB products portfolio. This role drives verification strategy, test execution governance, metrics, and clear, decision-ready quality/readiness reporting (release go/no-go, risk, and mitigation). You will partner closely with Engineering, Product Management, Support, and field teams to ensure solutions meet functional, performance, reliability, and customer requirements.

• Own solution verification for multi-component products.
• Lead test execution governance:
  • Entry/exit criteria
  • Environment readiness
  • Defect triage
  • Release readiness checkpoints
• Produce executive-level test reporting:
  • Quality/readiness dashboards
  • KPI definitions
  • Weekly/monthly summaries
  • Clear narrative: status, trends, top risks, customer impact, mitigations, and asks
  • Drive go/no-go recommendations based on evidence
• Lead cross-functional defect triage:
  • Prioritize by severity, impact, and release risk
  • Ensure timely resolution and verification
• Release Readiness Certification:
  • Produce a pass/fail readiness signal based on workflow execution results, evidence, and defined acceptance criteria
• EDB Postgres AI / Hybrid workflows:
  • Verify AI-enabled database experiences end-to-end, including provisioning/configuration flows and hybrid management behaviors
• Drive automation strategy, knowledge at test automation & tooling:
  • Develop and maintain automation for workflow setup, execution, and reporting (CI-friendly where applicable)

Qualifications

• 5+ years in QA/verification/test engineering for enterprise software or complex systems (integration-heavy preferred)
• Demonstrated experience owning release readiness and communicating test status to director/VP/executive audiences
• Strong skills in test strategy, risk-based testing, requirements traceability, and end-to-end scenario design
• Hands-on experience with test automation (one or more): Python, Java, TypeScript/JS, Go

Requirements

• Experience with high availability and failure testing (failover, replication lag, fencing/split-brain considerations)
• Experience with performance/load tools (e.g., pgbench, HammerDB, custom workload generators)
• Experience validating AI platform workflows in production-like environments (deployment, configuration, upgrades, observability)
• Experience with Kubernetes for AI + data services (GPU optional; understanding of scheduling, storage, networking, and resource limits)
• Ability to validate AI-related operational concerns: auth/connectivity to model providers, config drift, resource saturation, and failure recovery
• Prior work with CI pipelines for automated E2E test

Benefits

• Access to CuraLinc for health and wellness tips and practices
• Wellness Fridays extending to December 2026