Mgr Quality Engineering

Retail Services WIS CorporationPlano, TX
3h$130,000 - $150,000Hybrid

About The Position

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.

Requirements

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

Nice To Haves

  • 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

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.
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