Software Test Engineering Manager (IGEN)
About The Position
IGEN is seeking a Software Test Engineering Manager to lead and evolve its Quality Engineering function across all software products and platforms. This role is responsible for defining and executing a modern, automation-first, and AI-enabled quality strategy that ensures scalable, reliable, and high-performing SaaS solutions. The individual will operate within a Microsoft-based technology ecosystem and Scrum-driven Agile model, partnering closely with Engineering, Product, Platform, and domain experts (tax advisors / logic experts) to ensure both technical quality and business logic accuracy. The ideal candidate is passionate about driving continuous improvement, intelligent automation, and agentic testing capabilities, while ensuring logic fidelity, regulatory compliance, and customer trust in all product outputs. The ideal location for this role is on-site in Appleton, WI for 4 days per week (Monday - Thursday). Hybrid schedules may be considered for candidates in other areas of Wisconsin with 1-2 days per week on-site in Appleton.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- 5+ years of experience in QA, automation, or SDET roles.
- 3+ years in a leadership role.
- Strong experience with test automation frameworks (Selenium, Playwright, Cypress, etc.).
- Strong experience with API and integration testing.
- Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions).
- Experience working in Scrum-based Agile environments.
- Programming experience (C#, JavaScript, Python, or Java).
- Experience with cloud-native SaaS architectures (Azure preferred).
Nice To Haves
- Experience with AI-driven or agentic QA approaches.
- Experience with performance testing tools.
- Experience with observability platforms.
- Experience integrating security testing and SCA tools.
- Experience working with domain-heavy systems requiring logic validation (e.g., tax, regulatory, or rules-based platforms).
Responsibilities
- Define and execute a portfolio-wide Quality Engineering strategy across all IGEN software products.
- Establish a quality-first culture where quality is embedded in design, development, and delivery.
- Translate product risk, customer impact, and system complexity into measurable quality KPIs and release criteria.
- Define and govern: Defect escape rate, Test coverage across layers, Release confidence scoring, MTTR / MTTD.
- Lead quality engineering within a Microsoft-centric ecosystem, including Azure-based SaaS platforms, Azure DevOps / GitHub CI/CD pipelines, and .NET-based services and APIs.
- Define best practices for testing in distributed cloud environments and identity-enabled systems (Entra / IAM).
- Ensure QA is deeply integrated into platform engineering practices.
- Embed QA into Scrum teams, ensuring quality ownership throughout the sprint lifecycle.
- Define and enforce Definition of Done, including automation coverage and quality gates.
- Influence sprint planning (test strategy and risk) and backlog refinement (testability and acceptance criteria clarity).
- Ensure product teams deliver with clear accountability for quality outcomes.
- Partner closely with logic experts (tax advisors and domain specialists) to validate business rules, regulatory logic, and calculation accuracy and scenario coverage.
- Establish structured processes for logic validation testing (rule-based and scenario-driven testing) and domain test case design tied to real-world client scenarios.
- Ensure business acceptance validation beyond functional correctness.
- Ensure software quality includes confidence in both technical performance and domain correctness.
- Drive traceability between requirements, rules, test coverage, and expected outcomes.
- Lead adoption of AI-driven and agentic QA capabilities, including autonomous test generation, AI-assisted test maintenance, and intelligent identification of coverage gaps.
- Establish governance for AI-generated testing and validation outputs.
- Drive evolution toward autonomous QA systems capable of adaptive testing at scale.
- Define and own the enterprise test architecture, including UI, API, integration, contract, and end-to-end testing.
- Build and scale modular, reusable automation frameworks.
- Integrate automated testing into CI/CD pipelines with automated quality gates and real-time feedback loops.
- Drive best practices in API-first testing, test data management, service virtualization, and test stability and flakiness reduction.
- Embed quality engineering into CI/CD pipelines (Azure DevOps / GitHub Actions).
- Implement TestOps practices with continuous quality monitoring.
- Drive shift-left and shift-right quality strategies: early validation within development and production validation via telemetry.
- Leverage logs, metrics, and traces for production quality validation.
- Implement synthetic monitoring and release validation strategies.
- Establish feedback loops from production insights into defect analysis, risk prioritization, and backlog improvements.
- Lead, mentor, and develop QA Engineers, SDETs, and automation specialists.
- Act as a player-coach, contributing to design and technical implementation.
- Build organizational capability in automation engineering, AI-enabled QA, and cloud-native testing.
- Foster a culture of shared ownership of quality across engineering teams.
Benefits
- Great Place to Work-Certified™
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What This Job Offers
Job Type
Full-time
Career Level
Manager
