At a Glance
- Tasks: Design and operate AI-enabled software systems, integrating with modern cloud platforms.
- Company: Join a forward-thinking tech company at the forefront of AI and DevOps.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and cutting-edge technology.
- Why this job: Be part of innovative projects that shape the future of AI in production systems.
- Qualifications: Experience in software engineering, DevOps, and proficiency in TypeScript and Python.
The predicted salary is between 50000 - 70000 € 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.
Junior DevOps DevOps Junior DevOps Engineer (AWS) (Remote) in London employer: Lorien
As a Junior DevOps Engineer at our innovative company, you will be part of a dynamic team that thrives on collaboration and creativity, working remotely to build cutting-edge AI-enabled software systems. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and mentorship, ensuring you can advance your skills in a rapidly evolving field. Join us to make a meaningful impact while enjoying the flexibility of remote work and the chance to shape the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Junior DevOps DevOps Junior DevOps Engineer (AWS) (Remote) in London
✨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 showcasing your projects, especially those involving AI and DevOps. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and enthusiasm, which we really value.
We think you need these skills to ace Junior DevOps DevOps Junior 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 Junior DevOps Engineer role. Highlight your experience with TypeScript, Python, and any AI integration you've done. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for DevOps and AI, and explain why you're excited about this role at StudySmarter. Let us know how you can contribute to building reliable systems in production.
Showcase Your Projects:If you've worked on relevant projects, whether in school or on your own, make sure to mention them. We love seeing practical examples of your work, especially if they involve API-driven services or AI integrations!
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 don’t miss out on any important updates. We can’t wait to see what you bring to the table!
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 used these technologies in past projects.
✨Showcase Your DevOps Experience
Be prepared to talk about your hands-on experience with DevOps practices. Highlight any specific tools or platforms you've worked with, especially those related to cloud services and AI integration, as this will show your capability to operate in a modern software environment.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions where you’ll need to demonstrate your problem-solving skills. Think of examples where you’ve tackled complex issues in software systems or improved operational effectiveness using AI tools.
✨Engage with the Interviewers
Don’t just answer questions; engage with your interviewers. Ask insightful questions about their current projects, challenges they face, and how they integrate AI into their systems. This shows your genuine interest and helps you assess if the company is the right fit for you.
