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- Tasks: Build and maintain scalable infrastructure for cutting-edge AI projects.
- Company: Leading AI company with a focus on innovation and collaboration.
- Benefits: Competitive salary, schooling allowance, and relocation support to Abu Dhabi.
- Why this job: Join a dynamic team and make an impact in the AI/ML space.
- Qualifications: Experience in AI/ML, proficient in Python or Go, and skilled in cloud platforms.
- Other info: Exciting opportunity for career growth in a vibrant tech hub.
The predicted salary is between 72000 - 96000 £ 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'll collaborate with dev 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 England 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 England
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those who work at AI or Big Tech companies. A friendly message on LinkedIn can open doors and give you insider info about the role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those related to AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and DevOps tools. Use mock interviews to build confidence and get feedback on your performance.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to support you every step of the way as you make your move to Abu Dhabi!
We think you need these skills to ace Mid/ Senior DevOps Engineer - AI/ML (Relocation to Abu Dhabi) in England
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: Use your cover letter to tell us why you're passionate about DevOps in the AI space. Share any relevant experiences that showcase your ability to build and maintain scalable infrastructure.
Showcase Your Projects: If you've worked on any notable projects, especially in AI or Big Tech, make sure to mention them! We love seeing real-world applications of your skills and how you’ve tackled challenges.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
How to prepare for a job interview at Discovered MENA
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python, Bash, and Go. Be ready to discuss your experience with AWS, Azure, or GCP, and how you've used Docker and Kubernetes in past projects. The more specific examples you can provide, the better!
✨Showcase Your AI/ML Experience
Since this role is focused on AI/ML, be prepared to talk about any relevant projects you've worked on. Highlight your understanding of real-time AI architectures and how you've contributed to scalable infrastructure in previous roles. This will show your passion and expertise in the field.
✨Familiarise Yourself with Monitoring Tools
Get comfortable discussing monitoring tools like Prometheus, Datadog, and Grafana. Be ready to explain how you've used these tools to ensure system stability and performance in high-traffic environments. This knowledge will demonstrate your ability to maintain reliable infrastructure.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's projects and culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Asking about their approach to DevOps in AI/ML can also give you valuable insights into their operations.
