Job Closed
This listing is no longer active.
A Partner That Brings Enterprise Cloud Transformation Full Circle
Training/QASP Director
Location
Virginia
Posted
162 days ago
Salary
0
Seniority
Lead
Job Description
Training/QASP Director
AIS (Applied Information Sciences)
• Designing and implementing comprehensive training programs while integrating Quality Assurance Surveillance Plan (QASP) standards into all aspects of project execution • Ensuring staff readiness, enforcing quality metrics, and managing risk mitigation strategies • Developing and maintaining Playbooks for training and QASP compliance • Overseeing staff training and upskilling programs to ensure workforce readiness • Enforcing and tracking QASP metrics across all deliverables • Managing Contracting Officer (CO)-level review processes for quality assurance • Handling deliverable escalation and ensuring timely resolution of issues • Performing complex evaluations of existing procedures, processes, techniques, models, and systems related to project execution
Job Requirements
- BA/BS degree in a related field
- 5+ years of experience in training development, quality assurance, and project execution
- Agile Scrum certification required; PMP preferred
- Active Top Secret Clearance is mandatory
- Strong understanding of QASP principles and training methodologies
- Excellent communication and organizational skills
Benefits
- Competitive Salaries
- Qualified Overtime
- Paid Time Off (PTO)
- Flexible Holiday Leave (88 hours per year)
- Parental Leave
- Immediate Healthcare: Medical, Dental, Vision, and Life Insurance
- Employee Stock Ownership Plan (ESOP)
- 401(k) Retirement Plan (5% match on base compensation, immediate 100% vesting)
- Tuition Reimbursement & Learning Allowance
- Referral Bonus Program (up to $5k)
Related Guides
Related Categories
Related Job Pages
More QA Engineer Jobs
• Collaborate closely with Engineering, Product, and AI teams to embed quality early. • Own end-to-end quality assurance for complex products with a strong focus on functional testing. • Define and execute QA strategy, test plans, and risk-based testing • Lead functional, regression, exploratory, and UAT testing • Define and execute test strategies aligned with product, AI, and business goals. • Validate AI-driven features (accuracy, data quality, bias, drift, and reliability). • Lead low-code / no-code test automation to accelerate regression and release cycles. • Drive shift-left quality practices within Agile teams. • Track and analyze quality metrics to proactively identify risks and improvements.
QA Analyst
Binance.US - BAM Trading ServicesBinance.US - BAM Trading Services is an internet company that specializes in cryptocurrency and has become one of the United States’ most integrated and fastest-growing digital m
• Execute manual test plans, test cases, and test scripts for frontend and backend systems • Perform functional, smoke, regression, and exploratory testing across mobile and web platforms • Identify, document, and track software defects using tools such as JIRA or TestRail • Run existing automated test scripts and analyze output for defects or inconsistencies • Collaborate with QA Engineers to identify areas for automation coverage expansion • Contribute to test data setup and validation of test environments • Validate bug fixes and assess regression impact before releases • Work closely with developers and product managers to clarify requirements and expected behaviors • Participate in Agile ceremonies including sprint planning, stand-ups, and QA reviews • Maintain up-to-date documentation of test results and report test coverage and defect trends
• Run daily/weekly test cycles across multiple products and environments • Build, maintain, and extend automated test frameworks integrated into CI/CD pipelines • Author, update, and optimize test cases across product lines • Partner with product squads to enable feature validation and regression coverage • Participate in release readiness reviews and provide test evidence for release evaluation and qualification • Hunt for failure modes beyond the “happy path” • Contribute to QA dashboards and track product-level KPIs • Help map production issues into regression tests




