Product Centric Ops Model - Quality Automation Lead

• The Director, Quality Engineering is a senior individual contributor accountable for designing, building, and sustaining automated quality engineering capabilities across Customer and Commercial product teams operating under a modern Product Operating Model.

• This role is hands-on and execution-oriented responsible for creating and maintaining automated QA frameworks, pipelines, and quality platforms that enable teams to deliver faster with confidence.

• The Director ensures quality is engineered into products from the earliest stages of discovery through production not validated after the fact.
  

Core Accountabilities:

Product Model & Discovery Partnership:

• Partner with Product and Engineering leadership to embed automated quality strategies into product discovery and delivery.

• Ensure experiments, MVPs, and releases include automated validation aligned to customer and business outcomes.

• Advocate for testability, observability, and automation-readiness as non-negotiable design principles.

Automated Quality Engineering Strategy & Architecture:

• Define and own the automated QA strategy for Customer and Commercial platforms.

• Design and maintain enterprise-grade automation frameworks covering UI, API, data, performance, and security testing.

• Establish standards for automation design, tooling, test data, and environment management.

• Make explicit trade-offs between automation depth, execution time, risk coverage, and maintainability.

Hands-On Automation Delivery & Sustainment:

• Build, extend, and maintain automated QA solutions integrated directly into CI/CD pipelines.

• Ensure automation suites are reliable, fast, and actionable minimizing false positives and brittle tests.

• Continuously refactor and improve automation to keep pace with product and platform evolution.

• Reduce reliance on manual testing by replacing it with scalable, reusable automated capabilities.

Individual Contributor Technical Leadership:

• Serve as the primary technical authority for automated QA across Customer and Commercial domains.

• Lead complex automation initiatives end-to-end through direct contribution.

• Provide reference implementations, patterns, and reusable components for teams to adopt.

• Coach engineers and QE practitioners on effective automation practices (without formal people management).

Business Partnership & Communication:

• Act as a trusted advisor to product and business leaders on quality risk, automation coverage, and release readiness.

• Translate automation metrics into clear business impact narratives (risk reduction, faster time-to-market, cost avoidance).

• Proactively surface quality and automation gaps that could impact customer experience or revenue.

Governance, Risk & Compliance:

• Ensure automated QA solutions meet enterprise security, audit, and regulatory requirements.

• Embed traceability, evidence generation, and controls directly into automation pipelines.

• Partner with Security and Platform teams to ensure automation aligns with enterprise standards.

Success Measures:

• High-confidence releases driven by automated quality signals.

• Measurable reduction in escaped defects and production incidents.

• Increased automation coverage and reduced manual testing effort.

• Faster feedback cycles for product teams.

• Automation frameworks that scale and remain maintainable over time.

Leadership Profile:

• Builder-first mindset with strong technical depth

• Automation-focused, not test case driven

• Pragmatic, risk-aware, and outcome-oriented

• Influences through credibility and results, not authority

• Holds a high bar for automation quality and sustainability
  

Required Experience & Capabilities:

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.

• 8 years of hands-on experience building automated QA solutions.

• Proven track record creating and sustaining automation at enterprise scale.

• Deep expertise in test automation frameworks, CI/CD integration, and cloud-native systems.

• Strong understanding of API, UI, data, performance, and security testing automation.

• Ability to communicate automation value and risk in business terms.
  

The pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

Salary : $42 - $65