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- Tasks: Design and maintain CI/CD pipelines, manage container environments, and optimise development workflows.
- Company: Join a pioneering company focused on AI acceleration with cutting-edge hardware and software solutions.
- Benefits: Enjoy flexible work options, innovative projects, and a collaborative team culture.
- Why this job: Be at the forefront of AI technology, working in a fast-paced environment that values creativity and innovation.
- Qualifications: 3+ years in DevOps, experience with CI/CD pipelines, and proficiency in cloud services and Python.
- Other info: Ideal for tech enthusiasts eager to shape the future of AI.
The predicted salary is between 43200 - 72000 £ per year.
Driving Infrastructure for the Future of AI Acceleration. We are building cutting-edge AI accelerator solutions, spanning hardware and software, and we are looking for a DevOps Engineer to help us scale fast, build smart, and stay ahead of the curve. You will deploy leading technologies to create a modern, scalable development infrastructure—one that empowers our teams to move quickly and innovate confidently.
What You’ll Do
- Design, build, and maintain robust CI/CD pipelines using tools like GitHub Actions and Bazel
- Manage and scale our containerized environments with Docker and Kubernetes
- Work closely with hardware and software engineers to streamline the entire development lifecycle
- Optimize builds, testing, and deployment for complex, performance-critical systems
- Administer cloud infrastructure to support high-velocity development and deployment workflows
What You Bring
- 3+ years experience in DevOps or infrastructure engineering
- Experience building and maintaining advanced CI/CD pipelines for large-scale products
- Proficiency with Bazel, GitHub Actions, and modern cloud services
- Scripting and automation skills in Python
- A degree in Computer Science, Engineering, or a related field (or equivalent experience)
Additional skills
- Familiarity with C/C++
- Experience working with machine learning pipelines or large language models
- Knowledge of build systems for complex, multi-language projects
DevOps Engineer employer: Fractile
Contact Detail:
Fractile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as GitHub Actions and Bazel. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specific challenges they face, which you can address in your conversations during the interview.
✨Tip Number 3
Prepare to discuss your experience with containerisation technologies like Docker and Kubernetes. Be ready to share specific examples of how you've managed and scaled environments in previous roles, as this will demonstrate your practical knowledge.
✨Tip Number 4
Stay updated on the latest trends in AI and DevOps. Being able to discuss recent advancements or case studies related to AI acceleration can show your passion for the field and your commitment to continuous learning.
We think you need these skills to ace DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in DevOps and infrastructure engineering. Focus on your proficiency with CI/CD pipelines, Docker, Kubernetes, and any relevant cloud services. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI acceleration and how your background aligns with the company's goals. Mention your experience with tools like GitHub Actions and Bazel, and how you can contribute to building a modern development infrastructure.
Showcase Relevant Projects: If you have worked on projects involving machine learning pipelines or large language models, be sure to include these in your application. Describe your role and the impact of your contributions to highlight your expertise.
Proofread and Edit: Before submitting your application, take the time to proofread and edit your documents. Check for any grammatical errors or typos, and ensure that your formatting is consistent. A polished application reflects your attention to detail.
How to prepare for a job interview at Fractile
✨Showcase Your CI/CD Expertise
Be prepared to discuss your experience with CI/CD pipelines in detail. Highlight specific projects where you've used tools like GitHub Actions and Bazel, and explain how you optimised these processes for efficiency.
✨Demonstrate Container Management Skills
Since the role involves managing containerized environments, be ready to talk about your experience with Docker and Kubernetes. Share examples of how you've scaled applications using these technologies and any challenges you overcame.
✨Collaborate with Cross-Functional Teams
Emphasise your ability to work closely with both hardware and software engineers. Prepare to give examples of how you've streamlined development lifecycles and improved collaboration between teams in previous roles.
✨Highlight Scripting and Automation Proficiency
As scripting in Python is a key requirement, be ready to discuss your automation skills. Bring up specific scripts or tools you've developed that improved workflows or reduced manual tasks in your past positions.
