Mgr Quality Engineering

Mgr Quality Engineering

Full Time

Salary Range: $130,000 - $150,000

Position Overview:

We are seeking an experienced Manager, Quality Engineering to lead a specialized team of 8–12 engineers in transforming how we validate software. The ideal candidate will have a deep technical background in test architecture, AI-augmented validation, chaos engineering, and CI/CD integration, with a proven ability to manage teams, drive quality excellence, and embed validation as a core engineering discipline. This role will involve overseeing the end-to-end quality transformation, fostering collaboration across engineering, and aligning efforts with organizational reliability goals.

Essential Responsibilities:

• Team Leadership & Mentorship : Manage, mentor, and grow a team of 8–12 quality engineers (SDETs, AI specialists, chaos engineers, tooling experts), fostering a culture of technical rigor, innovation, and continuous improvement.
• Quality Strategy : Define and drive the technical roadmap for quality engineering, ensuring alignment with business objectives and reliability requirements.
• Validation Delivery : Oversee the design, development, and deployment of test architectures, AI agents, and chaos frameworks, ensuring fast, reliable validation at every layer.
• Test Architecture : Lead the evolution of dependency injection, contract testing, mocking, and testability across backend, frontend, and mobile tiers.
• Collaboration : Partner with platform, product, and infrastructure teams to embed “shift-left” quality into development workflows.
• Quality Systems & Best Practices : Promote best practices in TDD, test pyramid discipline, CI quality gates, and “quality as code” via code reviews, scaffolding, and dashboards.
• Performance Management : Set clear goals, provide regular feedback, and conduct performance evaluations to support team growth and accountability.
• Technology Advocacy : Stay current with industry trends in AI testing, chaos engineering, and resilience, and advocate for adoption of cutting-edge tools and processes.

Preferred Qualifications & Skills:

Experience

• 8+ years of software or test engineering experience, with at least 3 years in a technical leadership or management role.
• Proven expertise in building test architectures for distributed systems (microservices, event-driven, multi-tier apps).
• Hands-on experience designing and implementing AI-driven test generation, mutation testing, or property-based testing.
• Deep knowledge of CI/CD pipelines and quality gate integration (e.g., diff-aware regression, canary validation).
• Strong track record leading chaos engineering initiatives (fault injection, traffic replay, resilience experiments).
• Experience driving cultural shifts from manual testing to automated, code-first validation.

Technical Skills

• Proficiency in dependency injection, mocking frameworks, and contract testing across .NET, Kotlin/Android, and full stack environments.
• Familiarity with AI/ML frameworks for testing (e.g., test case generation, flaky detection, risk prioritization).
• Expertise in chaos tools (e.g., Gremlin, Toxiproxy, Chaos Monkey) and observability.
• Working knowledge of containerization (Docker, Kubernetes), infrastructure as code, and cloud platforms (AWS, Azure, GCP).

Leadership Skills

• Strong ability to mentor and develop engineers at varying experience levels, from junior SDETs to staff-level specialists.
• Excellent communication skills to articulate quality strategy and technical trade-offs to non-technical stakeholders.
• Proven track record of delivering quality transformations on time with measurable impact (e.g., reduced regression, faster releases).

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

Preferred Qualifications

• Experience integrating quality tools into polyglot environments (.NET + Kotlin/Android + React).
• Contributions to open-source testing, chaos, or AI validation projects.
• Background in SRE or platform engineering with a quality focus.
• Familiarity with property-based testing libraries (e.g., Hypothesis, FsCheck) or AI testing

Working Conditions:

Work is primarily sedentary: must be able to sit for extended periods of time and use a computer, keyboard, and mouse, frequently.

Please note that this Job Description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

For more information on WIS, visit our website at

WIS is an Equal Opportunity Employer,

committed to a diverse and inclusive work environment.