Lead design and implementation of scalable test automation architectures and frameworks. Integrate automated testing into CI/CD, observability, and SRE practices. Drive AI-driven testing, monitoring integration, reliability metrics, and mentor QA/SDET teams while partnering with DevOps and SRE to improve system quality and production reliability.
Job Summary & Responsibilities
Architect Lead
The Architect Lead is responsible for overseeing the multiple types/categories of technical and operating systems for running end user applications. Working under minimal supervision, this job develops complex architectural guidelines, specifications and technical standards related to current and future end user requests.
Key Responsibilities and Duties
- Harmonizes systems design and technology constraints in accordance with compliance requirements.
- Assists in developing key capabilities and performance requirements when developing system architectures.
- Designs models and architectural guidelines for current and future system development.
- Contributes to and designs solutions requiring integration of multiple platforms, operating systems and applications across the enterprise.
- Leads in complex data/system modeling and advanced project development.
- Sometimes coaches, reviews and delegates work to lower-level professionals.
Minimum Requirements
- 5 years of experience in Test Automation Architecture and framework design
- Prior background with DevOps and CI/CD integration
- Strong understanding of Observability and monitoring strategies
- Experience with cloud platforms and distributed systems - Azure, AWS, GCP, etc.
- Knowledge of containerization - Docker, Kubernetes
- AI-driven testing and intelligent automation
- Strong analytical, debugging, and leadership skills
Preferred Qualifications
- 7 years of experience in Test Automation Architecture
- Experience with AI/ML-based testing tools and frameworks
- Familiarity with SRE principles & concepts (SLIs, SLOs, error budgets, incident response)
Educational Requirements
- University (Degree) Preferred
Physical Requirements
- Physical Requirements: Sedentary Work
Career Level
8IC
Additional Information
The QE Automation Architect will lead the design and implementation of scalable automation frameworks while driving quality across DevOps, SRE, and AI-powered testing practices. This role will focus on embedding intelligent automation into the software lifecycle, enabling observability-driven validation, and ensuring high system reliability and performance in production environments.
Additional Responsibilities
- Define and drive the enterprise test automation strategy, aligning with business and DevOps goals
- Architect and build scalable, reusable automation frameworks for UI, API, and backend testing
- Integrate automated testing into CI/CD pipelines using Jenkins and GitHub Actions, enabling continuous testing and quality gates
- Collaborate with DevOps teams on infrastructure-as-code, environment provisioning, and pipeline optimization
- Implement observability-driven testing by integrating automated tests with enterprise monitoring, logging, metrics, tracing, and alerting platforms to validate system behavior, performance, and reliability across environments.
- Partner with SRE teams to monitor SLIs, SLOs, and reliability metrics to ensure system performance and availability.
- Support incident response, root cause analysis, and postmortems, ensuring continuous reliability improvements
- Lead AI-driven test automation initiatives, including self-healing tests, predictive defect detection, and intelligent test prioritization
- Drive NLP-based test generation from requirements
- Drive comprehensive automation strategy across UI, API, integration, and performance testing (e.g., Postman, Rest Assured, JMeter)
- Establish and enforce coding standards, best practices, and maintainable automation design
- Mentor QA engineers and SDETs; lead code reviews and architecture discussions
- Collaborate cross-functionally with engineering, product, DevOps, and SRE teams to embed quality throughout the SDLC
- Define and track KPIs such as automation coverage, defect leakage, pipeline success rates, and system uptime
- Drive continuous improvement using data-driven insights from testing and production environments
Posting end date - 6/13/26
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