The role calls for a shift-left mindset - QA Lead involved at requirements, design, and sprint planning, not just test execution towards the end. Focuses on process implementation and team/client coordination.
Responsibilities
Architect and build a comprehensive testing strategy that balances manual oversight of offshore teams with the development of scalable automation.
Develop and maintain automated test suites XCUITest/Espresso for mobile apps.
Partner early with Product, Design, and Engineering to identify potential issues during the requirements and design phases.
Serve as the primary technical point of contact for our offshore QA team, providing technical guidance, reviewing test plans, and driving high-quality execution.
Identify bottlenecks in the development lifecycle and implement process improvements to increase release velocity without compromising quality.
Lead role to define and scale enterprise-grade test automation strategy for UI, API, data, and AI/agentic systems.
Compensation
$89,600.00 - $157,000.00 USD
Responsibilities
Define and own the test automation technical design and risk-based, multi-layer strategy across UI, API, contract, component, integration, end-to-end, data, and platform testing.
Establish automation standards, patterns, and reference implementations covering framework structure, coding practices, reusable components, test data, diagnostics, reporting, and maintainability.
Drive shift-left quality practices through component, contract, API, and pre-merge validation.
Design and implement validation approaches for non-deterministic AI and agentic outcomes.
Define AI quality coverage and measurable acceptance criteria across accuracy, robustness, groundedness, safety, performance, and reliability.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field
Nice to have: Master’s degree in a relevant technical or business discipline
Within Quality & Mission Assurance, the Software Quality Engineering department performs classified activities in secure labs and unclassified activities in dedicated workspaces. role supports Land & Air Defense Systems (LADS).
Locations (4)
Tewksbury, Massachusetts, United States
Andover, Massachusetts, United States
Pelham, New Hampshire, United States
Marlborough, Massachusetts, United States
Responsibilities
Review of Document Deliverables (CDRL), Command Media (Policies), SW Release Packages (Windchill PDM, Azure DevOps), SW Requirements Changes, SW/System Defects, SW Pulls (Code Reviews), Media, and Test Artifacts
The AI Quality Governance Engineer (QGE) combines technical automation development with high-impact quality governance, building scalable automated systems and defining quality standards across an AI-integrated workflow.
Responsibilities
Build scalable automated systems
Write clean test code, set up CI/CD quality gates, and create AI utilities (test skeleton generators, risk-scoring models, auto-triage pipelines)
Define 'Done' across internal and vendor teams, enforce release standards, and track metrics that reflect actual system health (Change Failure Rate, Defect Escape Rate)
Use AI pair-programming tools to draft tests and automation scripts
Write and maintain end-to-end and API automation using Playwright, UnifiedDriver, and BDD frameworks
Requirements
Nice to have: ISTQB certification (CT-AI or CT-TAE)
Nice to have: experience establishing quality gates for offshore/outsourced technical partners
Seeking an experienced Automation Engineer to drive end-to-end automation and spearhead AI-augmented testing practices within the Front Office Trading platform.
Compensation
$94,300.00 - $141,500.00
Responsibilities
Develop automation scripts and framework libraries for both UI and API testing.
Actively participate in Delivery Feature Teams with regards to impact analysis of design and implementation using AI tools.
Define test plans and test cases for functional and end-to-end testing.
Drive in-sprint automation of Feature Deliveries, whilst championing automation best practices.
Practical experience applying AI/LLM tools (e.g., Copilot, LLM prompting, self-healing automation tools, synthetic data generators) to improve test velocity and coverage.
Requirements
Bachelor’s degree/University degree or equivalent experience
Responsible for software quality, compliance, and design assurance activities for cloud-based medical device applications and supporting infrastructure.
Compensation
The base pay for this position is $90,000.00 – $180,000.00
Responsibilities
Support all phases of the Software Development Lifecycle (SDLC)
Review software lifecycle deliverables and participate in design and release reviews
Participate in change impact assessments
Assist in the completion and maintenance of risk management files
Lead quality and compliance assessments for software defects and product issues
Requirements
Bachelor's Degree in an Engineering or Technical Field
Nice to have: Prior medical device experience
Nice to have: ASQ CSQE certification
Nice to have: Experience working in a broader enterprise/cross-division business unit model
Develop and execute test strategies and plans from user stories, requirements, acceptance criteria, technical designs, and customer workflows.
Test RESTful APIs including request/response validation, HTTP behavior, JSON payloads, authentication and authorization, permissions, error conditions, and boundary scenarios.
Use API client or testing tools such as Postman or Bruno.
Perform functional, integration, regression, exploratory, negative, and end-to-end testing.
Create, configure, and manage test data for complex system workflows.
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