QE Lead

** QE Lead*
* ** Category:
** Testing/Quality Assurance

** Main location:
** United States, Pennsylvania, Pittsburgh

** Position :
** J

*
* Employment Type:

** Full Time

** Position

Description:

*
* CGI is looking for an experienced Quality Engineering Lead to join our Enterprise Document Management team, supporting our client which is a large US Bank, working in an advanced technology environment. The Senior Quality Engineering Lead 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. The candidate for this role will be expected to be onsite five days a week at our client site in Pittsburgh PA.

For this role on this particular client engagement, employer sponsorship of immigration related visa and/or green card status as part of the PERM process will not be available.

** Your future duties and responsibilities:*
* Quality Engineering Strategy & Leadership

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

** Required qualifications to be successful in this role:*
* Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience

6-10 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:

Search relevance and metadata validation

Vector/semantic search and AI-driven retrieval validation

Experience validating security, RBAC, and compliance controls in regulated environments

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

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

Other Information:

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not…