At a Glance
- Tasks: Design and operate AI-enabled software systems that enhance delivery and decision-making.
- Company: Join a forward-thinking tech company at the forefront of AI integration.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with talented engineers and AI specialists in a dynamic environment.
- Why this job: Be a key player in shaping the future of AI in production systems.
- Qualifications: Experience in software engineering and DevOps, with skills in TypeScript and Python.
The predicted salary is between 60000 - 80000 € per year.
We're looking for a Senior AI-Enabled DevOps Engineer to join a growing engineering capability working on complex, important software systems that increasingly embed AI to improve delivery, decision-making, and operational effectiveness.
This is a hands-on senior engineering role for someone who enjoys operating across software development, DevOps, and modern cloud platforms. You won't be a people manager, but you will be a trusted senior engineer, shaping technical approaches, raising engineering standards, and helping teams deliver reliable systems in production.
At the core of this role is building well-engineered, production-grade systems that integrate cleanly with AI platforms and services.
- Design, build, deploy, and operate AI-enabled software and platform solutions
- Develop API-driven services and integrations that allow systems to interact effectively with AI capabilities
- Implement and operate integration mechanisms between software systems and AI platforms, including emerging patterns and protocols where appropriate
- Use AI tools to improve engineering productivity - while maintaining full accountability for quality, safety, and correctness
- Review, validate, and guide AI-generated code and outputs, ensuring they meet real engineering and operational standards
- Build services in TypeScript and Python, supported by strong testing and clean code practices
- Work closely with other engineers, platform teams, and AI specialists to deliver integrated, end-to-end solutions
Proven experience as a Senior Software Engineer, Senior DevOps Engineer, or similar hands-on role.
Excellent software engineering fundamentals: system design, maintainable code, testing, and operability.
Strong experience building API-first or service-based systems.
Proficiency in TypeScript and Python.
Confidence working across development, deployment, and operational concerns.
Integrating software systems with AI platforms or AI-assisted workflows.
Exposure to emerging AI integration approaches or protocols (e.g. Platform engineering or DevOps at scale).
This is an opportunity to sit at the intersection of modern software engineering, DevOps, and applied AI, working on real production systems rather than experiments or demos.
DevOps DevOps Senior DevOps Engineer (AWS) (Remote) in London employer: Lorien
Join a forward-thinking company that champions innovation and collaboration, where as a Senior AI-Enabled DevOps Engineer, you will play a pivotal role in shaping the future of software systems. Enjoy a flexible remote work environment that fosters a culture of continuous learning and professional growth, alongside competitive benefits that support your well-being and career aspirations. With a focus on cutting-edge technology and a commitment to quality, this is an exceptional opportunity to make a meaningful impact in the realm of AI and DevOps.
StudySmarter Expert Advice🤫
We think this is how you could land DevOps DevOps Senior DevOps Engineer (AWS) (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AI and DevOps. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving TypeScript, Python, and AI integrations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common DevOps scenarios and be ready to discuss how you've tackled challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to find your application and get back to you quickly.
We think you need these skills to ace DevOps DevOps Senior DevOps Engineer (AWS) (Remote) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AI, DevOps, and cloud platforms, as we want to see how you can contribute to our team.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-enabled systems and how your background makes you a perfect fit for this role. Keep it engaging and personal.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in TypeScript, Python, and API-driven services. We love seeing real examples of your skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Lorien
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript and Python, as these are key for the role. Brush up on your API-driven services knowledge and be ready to discuss how you've built and integrated systems in the past.
✨Showcase Your AI Integration Experience
Be prepared to talk about any experience you have with AI platforms and how you've integrated them into software systems. Highlight specific projects where you’ve used AI tools to enhance productivity or improve operational effectiveness.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Think of examples from your past work where you’ve tackled complex problems, especially those involving DevOps practices or cloud platforms. Show how you approach problem-solving methodically.
✨Engage with the Interviewers
Don’t just answer questions; engage in a conversation. Ask insightful questions about their current projects, team dynamics, and how they see AI evolving in their systems. This shows your genuine interest and helps you assess if it’s the right fit for you.
