Senior IT Quality Assurance Manager - TS/SCI with Polygraph

Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Software Engineering

Job Qualifications:

Skills:

Continual Improvement Process, IT Quality Assurance, Process Compliance, Process Improvements

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

What You’ll Achieve

The Mission Assurance/Quality Manager plays a strategic, high-impact role at the IDIQ level, embedded within the PMO. This person will start off in Task Order 2 setting process, oversees risk reduction, process compliance, and product reliability to guarantee the MVIs are successfully met. They enforce quality standards, oversee verification testing, and process governess.  In this role, you will:

• Quality Management Framework for the IDIQ

  • Design, maintain, and continuously improve the program’s quality management approach across all task orders (e.g., quality plan, standards, templates).

  • Ensure the program’s software‑development lifecycle (SDLC), Agile/SAFe practices, and DevSecOps processes have clearly defined quality criteria at each stage.

  • Align quality practices with contract requirements, customer standards, and GDIT policies.

  • Serve as the ultimate technical authority for QA tooling and architecture.

• Process Definition, Compliance, and Continuous Improvement

  • Define and document key processes for requirements, design, coding, testing, release, defect management, and configuration management.

  • Perform periodic process compliance checks (e.g., audits, walkthroughs, spot checks) across task orders to verify teams are following agreed practices.

  • Collect and analyze findings, drive corrective actions, and track closure of non‑conformances or observations.

  • Facilitate continual improvement cycles by capturing lessons learned and updating processes, checklists, and templates.

• Metrics, Monitoring, and Reporting

  • Define and maintain a consistent set of quality and mission assurance metrics for the program, such as:

    • Defect density and leakage (e.g., defects escaping to higher environments/production).

    • Test coverage, automation rates, and rework.

    • Release quality (e.g., incidents post‑deployment, rollback rates).

  • Consolidate and analyze quality data across task orders; identify trends, hotspots, and systemic issues.

  • Provide regular quality dashboards and narratives to PMO, program leadership, and customer stakeholders.

• Risk Management, Issues, and Root Cause Analysis

  • Partner with program management to identify and track quality‑related risks and issues in the program risk/issue register.

  • Lead or support root cause analysis (RCA) for significant defects, outages, or delivery failures and ensure corrective/preventive actions (CAPAs) are defined and implemented.

  • Monitor the effectiveness of CAPAs and adjust as needed to prevent recurrence.

• Integration of Quality into Agile/SAFe and DevSecOps

  • Collaborate with the Lead Agilist, Solution Architect, and tech leads to embed quality practices into:

    • Backlog refinement, Definitions of Ready/Done.

    • Testing strategies (unit, integration, system, performance, security).

    • CI/CD pipelines (e.g., automated quality gates, static code analysis, security scans).

  • Promote and support test automation and “shift‑left” quality practices to reduce defects and rework.

  • Ensure quality checkpoints are integrated into program ceremonies (e.g., PI planning, system demos, retros).

• Deliverable and Release Quality Assurance

  • Define acceptance criteria and review standards for key program deliverables (documents, designs, plans, test evidence, release packages).

  • Perform independent quality reviews of high‑risk or high‑visibility deliverables prior to submission to the customer.

  • Participate in release readiness reviews, confirming that quality thresholds and exit criteria are met before deployment.

•  Customer Interface on Quality and Mission Assurance

  • Support program management as the primary voice on quality‑related topics in customer reviews, audits, and status meetings.

  • Prepare and present quality performance summaries, trends, and improvement plans to customer stakeholders.

  • Coordinate responses to customer quality concerns, audits, or findings; track and report closure.

• Alignment Across Task Orders

  • Ensure teams adhere to program quality standards and reporting expectations.

  • Perform or coordinate quality reviews of team deliverables and contributions.

  • Support harmonization of quality approaches across task orders so the program operates with a common baseline and shared best practices.

• Training, Coaching, and Quality Culture

  • Provide training or orientation to new team members, Scrum teams, and task leads on program quality expectations, processes, and tools.

  • Coach teams on best practices in software quality, test design, defect prevention, and documentation.

  • Promote a culture where team members proactively raise quality issues and participate in improvement efforts

Required Qualifications

• BS/BA or equivalent experience

• TS/SCI with Polygraph

• 10+ years of progressive software engineering and quality assurance experience, with a proven track record of moving from hands-on technical contributor to senior leadership

• 5+ years of experience leading teams with demonstrated ability to plan, organize, and implement significant strategic initiatives.

• Demonstrable experience architecting and executing a large-scale manual-to-automation transformation. Must be able to speak deeply to the technical framework design, ROI analysis, and change management strategies used.

• Deep, hands-on expertise with modern automation tooling, CI/CD pipeline integration, and testing large-scale, multi-tier, service-oriented architectures.

Desired Skills and Experience

• Experience evaluating and implementing GenAI tooling to accelerate test script generation, optimize test data management (including synthetic data for PHI/PII), and improve overall QA efficiency.

• Familiarity with modern automation frameworks (e.g., Playwright, Cypress) and shift-left API testing strategies.

• Experience with traditional enterprise stacks, including Java, Jira, GitHub, and DB2 (or similar) on large-scale applications.

• Deep knowledge of DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate) and establishing engineering benchmarks.

The likely salary range for this position is $147,292 - $199,278. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA Chantilly

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.