Principal Solutions Verification Engineer (Database & AI)

Responsibilities

• Own solution verification for multi-component products.
• Lead test execution governance: entry/exit criteria, environment readiness, defect triage, and release readiness checkpoints:
• Produce executive-level test reporting:
• Quality/readiness dashboards, KPI definitions, and 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).

Requirements

• 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.
• What will give you an edge:
• 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
• We know it takes a unique mix of people and skills to help us in our mission to supercharge Postgres, and we understand that not everyone will check every box. We'd love to hear from you and we want you to apply!
• EDB does not seek or accept unsolicited resumes or CVs from recruitment agencies. EDB and its affiliates are not responsible for, and will not pay, any fees, commissions, or any other similar payment related to unsolicited resumes or CVs except as

Benefits

Additional Information

A Little About Us EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB's data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit www.enterprisedb.com **Candidate Note: This position is 100% remote for candidates based in EU/UK** 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.

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