At a Glance
- Tasks: Build and maintain scalable infrastructure for cutting-edge AI/ML projects.
- Company: Leading AI company with a focus on innovation and collaboration.
- Benefits: Attractive salary, relocation support, and schooling allowance.
- Why this job: Join a dynamic team and make an impact in the AI revolution.
- Qualifications: Experience in AI/ML, proficient in Python or Go, and skilled in cloud platforms.
- Other info: Exciting opportunity to relocate to Abu Dhabi with excellent career growth.
The predicted salary is between 60000 - 84000 £ per year.
Our client is a leading AI company that is looking for Mid/ Senior level DevOps Engineers who have worked in top AI, Big Tech or FAANG companies and are passionate about building and maintaining scalable, reliable infrastructure. You will collaborate with development teams to ensure smooth deployments and system stability.
Required Qualifications:
- Experience with AI/ML projects or products
- Proficient in Python, Bash, or Go
- Hands-on with AWS, Azure, or GCP
- Skilled in Docker, Kubernetes, and CI/CD tools (Azure DevOps, Jenkins, GitLab, CircleCI)
- Familiar with monitoring tools like Prometheus, Datadog, New Relic, Grafana, PagerDuty
- Solid grasp of networking (DNS, load balancing, firewalls)
- Understanding of real-time AI and streaming architectures
- Bachelor’s in CS, Engineering, or equivalent experience
Preferred Qualifications:
- Experience with IaC tools (Terraform, Pulumi)
- Knowledge of service mesh (Istio, Linkerd)
- Familiar with DB scaling (VectorDBs, SQL/NoSQL)
- Background in high-traffic production environments
If you are interested in the above position, please apply below!
Mid/ Senior DevOps Engineer - AI/ML (Relocation to Abu Dhabi) in London employer: Discovered MENA
Contact Detail:
Discovered MENA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid/ Senior DevOps Engineer - AI/ML (Relocation to Abu Dhabi) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Big Tech space on LinkedIn or at meetups. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your DevOps projects, especially those involving AI/ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice common DevOps scenarios and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Mid/ Senior DevOps Engineer - AI/ML (Relocation to Abu Dhabi) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML projects and the specific tools mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for DevOps and how your background in top AI or Big Tech companies makes you a perfect fit for us. Keep it engaging and personal.
Showcase Relevant Projects: If you've worked on any notable projects, especially those involving Docker, Kubernetes, or CI/CD tools, make sure to mention them. We love seeing real-world applications of your skills!
Apply Through Our Website: To ensure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Discovered MENA
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your skills with Python, Bash, and Go, and be ready to discuss your experience with AWS, Azure, or GCP. Being able to talk confidently about your hands-on experience with Docker, Kubernetes, and CI/CD tools will definitely impress.
✨Showcase Your AI/ML Experience
Since this role focuses on AI/ML projects, prepare specific examples of your past work in this area. Discuss any challenges you faced and how you overcame them, as well as the impact your contributions had on the projects. This will demonstrate your passion and expertise in the field.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-time AI and streaming architectures. Think through potential issues that could arise in high-traffic production environments and how you would address them. This shows your ability to think critically under pressure.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the company’s approach to AI/ML projects, or how they handle scaling databases. This not only shows your interest but also helps you gauge if the company is the right fit for you.