Lead Quality Engineer

Lead Quality Engineer (Financial Services)

Pittsburgh Pennsylvania

Must be a US Citizen or Permanent US Resident (no visa sponsorship available)

Must be able to work onsite 5 days a week.

@Orchard LLC has an immediate requirement for a Lead Quality Engineer to join the Enterprise Document Management team supporting a large US Bank working in an advanced technology environment. The Lead Quality Engineer is responsible for defining and driving the quality strategy validation standards and release readiness for the Document Management platform focused on user-centric application capabilities and integration across existing enterprise systems.

This role establishes quality frameworks automation strategies and validation models across document access metadata integrity search (including vector-based semantic retrieval) and governance controls forming the foundation for AI-powered search and agentic workflows.

Your responsibilities will include.

Define and own the end-to-end quality strategy standards and release governance.

Establish quality gates automation frameworks and validation metrics across application and integration layers.

Partner with Engineering Product and Architecture to drive shift-left quality practices and early defect prevention.

Enable data-driven release decisions providing clear visibility into quality metrics risks and readiness.

Provide technical leadership and oversight across QE practices automation and continuous improvement.

Document Management Application Existing System Integration.

Define and lead end-to-end validation strategies for document management workflows including document submission access and retrieval across systems.

Establish validation frameworks for search and retrieval capabilities including:
Metadata-driven and full-text search.

Vector-based semantic search (embedding similarity ranking accuracy relevance tuning).

Entitlement enforcement and context-aware results.

Define and govern validation for metadata quality taxonomy alignment and data integrity across systems.

Ensure document lifecycle and governance validation including retention auditability traceability and compliance enforcement.

Lead validation of AI-powered retrieval and agentic workflows ensuring accuracy grounding and consistency.

Define and oversee validation of federated integrations ensuring consistency in document access metadata alignment and cross-system behavior.

Establish testing strategies for API and event-driven integrations including data integrity resilience retry handling and failure scenarios.

Ensure end-to-end traceability auditability and regulatory compliance across application and integration layers.

Define and oversee security and access control validation (RBAC) across all document and retrieval scenarios.

Lead performance and scalability testing strategies for search retrieval and integration workloads.

Drive automation-first quality practices including CI/CD-integrated test pipelines and continuous validation.

Establish quality observability including dashboards reporting and actionable insights on coverage defects and system performance.

Your background will include.

Bachelors degree in Computer Science Information Systems Engineering or equivalent practical experience.

6 years of experience in quality engineering software testing or enterprise platform validation.

3 years leading quality strategy or providing technical leadership on large-scale delivery programs.

Proven experience validating document management systems enterprise search platforms or metadata-driven applications.

Strong expertise in test strategy design quality gates and automated validation frameworks.

Experience testing API-driven microservices and event-driven architectures.

Hands-on experience with Microsoft Azure CI/CD pipelines and test automation frameworks.

Strong understanding of:

o Search Relevance and metadata validation

o Vector/semantic search and AI-driven retrieval validation.

o Experience validating security RBAC and compliance controls in regulated environments.

Familiarity with AI/ML LLM-based retrieval or agentic workflows.

Strong communication skills with the ability to present quality metrics risks and release readiness to stakeholders.

Compensation: Compensation ranges are determined by several factors including skill set experience licensure and certifications and location. The anticipated range for a base salary for this role is between $90K & $140K. There may be some flexibility for exceptionally qualified individuals.

Established in 2010 @Orchard LLC has an exceptional reputation providing staffing solutions to time-sensitive talent-scarcity issues to deliver better talent management ROI. Our specialty lies in the critical area of program talent acquisition and resource management not in one narrow skillset but across many areas of technical and functional delivery. To learn more about our other exciting opportunities visit our Jobs Page at .