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- Tasks: Design and develop innovative automation solutions for quality engineering in a cutting-edge tech environment.
- Company: Join DDN, a global leader in AI and multi-cloud data management.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on AI and data storage testing while working with the latest technologies.
- Qualifications: Expertise in Python, pytest, and experience with distributed systems required.
- Other info: Be part of a dynamic team that values mentorship and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Automation Architect – Quality Engineering at DDN (DataDirect Networks). This role is for hands-on, innovative engineers focused on quality engineering for a distributed storage platform. You will design automation as a self-service platform for engineering, write world-class code, and pioneer new approaches to testing using AI/ML and chaos engineering. You will drive tooling that accelerates test execution and removes friction across environments, with a focus on solving real problems and making engineering teams faster and smarter.
DDN is a global leader in AI and multi-cloud data management at scale, powering AI data centers across industries. This position offers an opportunity to impact how AI and data storage are tested and validated at scale.
What You\’ll Do
- Architect & Own: Take full ownership of the pytest-based automation framework, guiding its architecture and evolution to set the new standard for quality.
- Create Reusable Tools: Develop robust Python libraries and pytest fixtures to streamline testing across APIs, CLIs, and complex workload orchestration scenarios.
- Build Automation as a Service: Design the framework as a self-service platform, creating a paved road for developers to write, run, and contribute automation for their features.
- Drive Adoption: Produce clear documentation, examples, and onboarding paths to evangelize automation best practices across the engineering organization.
- Pioneer AI-Driven Testing: Research and implement modern testing strategies using lightweight AI/ML techniques to create intelligent and realistic workloads for cluster, storage, and QoS validation.
- Uphold Code & Product Quality: Lead code reviews for all automation submissions to maintain high standards of quality and maintainability.
- Test for Scale and Resilience: Architect automation that validates distributed system behaviors, including clustering, service failover, and horizontal scaling.
- Champion Resilience & Chaos Engineering: Extend automation to embrace chaos engineering principles, proactively discovering systemic weaknesses.
- Integrate Performance Testing: Integrate performance and stress testing into CI/CD pipelines using tools like fio, IOR, Minio Warp, Mongoose, and MLPerf to validate throughput and latency under pressure.
- Scale with Modern Infrastructure: Design automation that runs efficiently across Kubernetes, Docker, hypervisors, and bare-metal systems, ensuring scalable test execution.
- Drive Telemetry-Driven Quality: Integrate test results with observability stacks (Grafana, Prometheus, ELK) to validate quality using rich telemetry.
- Mentor & Lead: Act as a technical leader and mentor for QE and Development engineers worldwide, elevating skills in Python, pytest, and modern automation design patterns.
What You\’ll Bring
- Technical Skills: Expert-level Python with pytest (fixtures, plugins, parametrization), asyncio, and building scalable frameworks.
- Distributed Systems: Clustering, fault tolerance, horizontal scaling; experience with machine orchestration preferred.
- Linux & Storage Systems: Linux (Ubuntu/RHEL) experience; storage protocols such as S3/Object, NVMe/iSCSI, NFS/SMB.
- Performance & Orchestration: Integrate performance tools (fio, IOR, Minio Warp) and orchestrate tests in Docker and Kubernetes.
- CI/CD Expertise: Experience with Jenkins or GitHub Actions for automation pipelines.
- Observability: Experience with Grafana, Prometheus, or ELK Stack to analyze results.
- AI/ML for QA (Preferred): Data science or ML techniques for testing; familiarity with Pandas, NumPy, SciPy, scikit-learn is a plus.
- Scripting: Proficiency in Bash; Go or C++ experience is a bonus.
Leadership & Soft Skills
- A Builder\’s Mindset: Write and own code, not just configure off-the-shelf tools.
- A Passion for Enablement: Build intuitive and powerful tools that help engineers succeed.
- Commitment to Quality: Emphasize rigorous code reviews for robust automation and knowledge sharing.
- Strategic Thinker: Design high-level automation strategy while solving deep technical challenges.
- Natural Mentor: Enjoy teaching others and helping colleagues grow.
- Excellent Communicator: Clearly articulate complex ideas to technical and non-technical stakeholders.
DDN & Equal Opportunity
DataDirect Networks, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
Job Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Software Development
Location: Gloucester, England, United Kingdom
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Automation Architect – Quality Engineering employer: DDN
Contact Detail:
DDN Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Automation Architect – Quality Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to automation and quality engineering. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with problem-solving under pressure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Automation Architect – Quality Engineering
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Python, pytest, and automation frameworks. We want to see how your skills align with the role of Automation Architect – Quality Engineering!
Showcase Your Projects: Include examples of past projects where you've implemented automation or worked with distributed systems. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Let’s get started!
How to prepare for a job interview at DDN
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, pytest, and the tools mentioned in the job description. Brush up on your knowledge of distributed systems and performance testing tools like fio and IOR. Being able to discuss these topics confidently will show that you're not just familiar with them, but that you can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex engineering challenges in the past. Think about situations where you’ve had to design automation frameworks or implement AI-driven testing strategies. This will demonstrate your ability to think critically and innovate, which is key for this role.
✨Communicate Clearly and Effectively
Practice articulating your thoughts on technical concepts in a way that’s easy to understand. You might be asked to explain your approach to chaos engineering or how you would mentor junior engineers. Clear communication is essential, so make sure you can convey your ideas to both technical and non-technical audiences.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about their current projects, team dynamics, or the company’s vision for automation. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation.
