QAE/DevOps Solutions Architect

Jobtailor; Deutschland; Remote; EUR 120.000 - 170.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced QA Architect to lead enterprise-scale quality engineering, automation, and DevOps initiatives in a Germany-based setup. You will define end-to-end SDLC and QA architecture with Azure DevOps pipelines, governance, and AI-assisted quality engineering.

Responsibilities include modernizing the SDLC stack, designing reusable reference architectures, and mentoring teams to implement automated UI/API/performance tests within CI/CD pipelines while ensuring compliance

Qualifikationen

• 10+ years in QA/quality engineering or test automation, incl. architect role.
• Experience leading QA manual-to-automation transformation.
• Strong Azure DevOps expertise with pipelines governance.
• Proven design of enterprise CI/CD pipelines.
• Experience with API testing, data validation, and pipeline-integrated testing.
• Scripting skills: C#, Python, PowerShell.
• Experience integrating QA into CI/CD with quality gates and checks.
• Governance frameworks for QA and DevOps practices.
• Strong understanding of SDLC, DevOps, and Agile.

Aufgaben

• Lead design and implementation of enterprise-scale quality engineering, automation, and DevOps capabilities.
• Define end-to-end SDLC and QA architecture with Azure DevOps pipelines, CI/CD, governance, and AI-assisted quality engineering.
• Define and evolve test technology stack, reference architecture, and code standards.
• Assess emerging Quality and DevOps technologies and their quality implications.
• Modernize end-to-end SDLC process and supporting technology stack.
• Design and optimize Azure DevOps CI/CD pipelines with quality gates.
• Establish enterprise standards for build, release, and deployment pipelines with compliance.
• Integrate automated UI, API, performance, and data validation testing into CI/CD.
• Define QA governance models, standards, controls, and best practices across teams.
• Mentor QA and DevOps engineers; drive continuous improvement of deployment reliability.

Kenntnisse

Azure DevOps Expertise

CI/CD Pipeline Design

Test Automation Frameworks

QA Governance

Playwright

Selenium

API Testing

Data Validation

Infrastructure as Code

Docker/Kubernetes

Azure

AI-Assisted Testing Tools

Agile Practices

Data Analytics Literacy

Security & Compliance

Tools

Azure DevOps

Playwright

Selenium

JMeter

Snowflake

Dbt

Jobbeschreibung

• Lead the design and implementation of enterprise-scale quality engineering, automation, and DevOps capabilities
• Define end-to-end SDLC and QA architecture with emphasis on Azure DevOps pipelines, CI/CD integration, governance, quality gates, and AI-assisted quality engineering
• Define and evolve the test technology stack, reference architecture, code standards, and repository structure
• Assess emerging Quality and DevOps technologies and their quality implications
• Help modernize the end-to-end SDLC process and supporting technology stack
• Design, implement, and optimize Azure DevOps CI/CD pipelines with integrated quality gates and governance controls
• Establish enterprise standards for build, release, and deployment pipelines, including compliance and auditability
• Integrate automated UI, API, performance, and data validation testing into CI/CD pipelines
• Define and enforce QA governance models, standards, controls, and best practices across teams
• Manage the automation backlog and risk-ranked regression suites; identify and retire QA technology technical debt
• Lead adoption of AI-assisted QA tools
• Partner with DevOps, engineering, and platform teams for end-to-end SDLC integration
• Lead shift-left quality initiatives and shift-right processes informed by production incidents
• Evaluate and select QA automation, pipeline optimization, and AI integration tools and frameworks
• Mentor QA and DevOps engineers
• Drive continuous improvement of deployment reliability, speed, and quality metrics
• Extend QA oversight to AI agents and bot interactions, defining bot quality rules and grades

Requirements

• 10+ years of experience in QA, quality engineering, or test automation, including previous experience in an architect role
• Previous experience leading QA manual-to-automation transformation
• Deep expertise in Azure DevOps (Platform Administration, Pipelines, Repos, Test Plans, Artifacts), with a strong focus on deployment pipelines
• Proven experience designing and governing enterprise CI/CD pipelines
• Strong experience with automation frameworks (Playwright, Selenium, or similar)
• Experience with API testing, data validation, and pipeline-integrated testing strategies
• Strong scripting/programming skills (C#, Python, PowerShell, JMeter, or similar)
• Experience integrating QA into CI/CD workflows with enforceable quality gates, including regression, integration, performance, and other quality checks
• Experience establishing governance frameworks for QA and DevOps practices
• Strong understanding of modern SDLC, DevOps, and Agile practices
• Data and analytics literacy to design QAE processes and interpret trends
• Experience with infrastructure-as-code (Bicep, Terraform, ARM) preferred
• Experience with containerization (Docker, Kubernetes) preferred
• Experience with cloud-native architectures (Azure preferred)
• Experience with AI-assisted development or testing tools preferred
• Experience with data platforms (Snowflake, dbt) is a plus
• Familiarity with security, compliance, and enterprise AI governance policies
• Ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office
• Minimum internet speed of 30x5 (30 Mbps download x 5 Mbps upload)
• Latency (ping) response time lower than 80 ms
• Hotspots, satellite and wireless internet service are not allowed
• Dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Core Competencies

Demonstrates extensive expertise in Azure DevOps, CI/CD pipeline design, and quality engineering practices, with a strong focus on automation and governance. Proven ability to lead teams in implementing enterprise-scale quality initiatives and integrating AI-assisted tools into the QA process.

Highest-signal resume keywords

• Azure DevOps Expertise
• CI/CD Pipeline Design
• Test Automation Frameworks
• Quality Governance Frameworks
• Scripting Skills (C#, Python, PowerShell)

ATS Optimization Keywords

Hard Skills

• Quality Engineering
• Test Automation
• CI/CD Integration
• API Testing
• Data Validation
• Infrastructure-as-Code (Bicep, Terraform)
• Containerization (Docker, Kubernetes)
• AI-Assisted Testing Tools
• Agile Practices
• Data Analytics Literacy

Soft Skills

• Leadership
• Mentoring
• Collaboration
• Continuous Improvement

Industry Keywords

• Quality Assurance
• DevOps
• SDLC
• Compliance
• Enterprise AI Governance

Tools & Technologies

• Azure DevOps
• Playwright
• Selenium
• JMeter
• Snowflake
• Dbt