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For Companies At a Glance
- Tasks: Automate CI/CD pipelines and optimise cloud-native practices with cutting-edge technology.
- Company: Top-rated organisation in Edinburgh known for its collaborative and innovative culture.
- Benefits: Superb pension package, annual bonus, private health cover, and enhanced parental leave.
- Why this job: Join a dynamic team and make a real impact on software delivery and system reliability.
- Qualifications: Experience in software development, CI/CD pipelines, and cloud technologies like Azure.
- Other info: Great opportunity for career growth in a supportive and tech-driven environment.
The predicted salary is between 45000 - 55000 £ per year.
A leading organisation in Edinburgh that has one of the best employer reputations in Scotland is looking for a DevOps Engineer to join the team. They have a customer-focused culture, where they value collaboration and ingenuity, with their success underpinned by extensive use of technology to drive the business.
Whats in it for you?
- Superb pension package
- Annual bonus scheme
- Private health cover
- Enhanced maternity/paternity package
- 15% pension and annual bonus
What youll be doing as DevOps Engineer
In this role you will work as a conduit between delivery streams and platforms teams, focusing on ensuring that the software engineering teams have access to tooling and platform capabilities to perform their work to an exceptional level. This will include automating CI/CD pipelines, augmenting AI solutions into practice, and removing friction where possible. You will support Developers/Engineers to have a you build it, you run it mentality and will help optimise containerised workloads, utilising automation, and using Infrastructure-As-Code where it helps to ensure efficiency.
Responsibilities:
- Being a partner to the inhouse Platforms team, ensuring effective feedback loops that deliver the architecture to support your delivery stream.
- Automating pipelines, using Azure Devops and GitHub (in future).
- Being an enabler; helping to deliver modern cloud-native practices, containerisation, and platform tooling, champion the use of AI assistants.
- Ensuring system reliability.
- Being secure by design; helping to integrate application security and compliance into the deployment lifecycle.
Were looking for a DevOps Engineer with:
- Proven experience in software development or systems engineering, demonstrable hands-on experience building CI/CD pipelines.
- Experience leveraging AI tooling to improve engineering workflows.
- Systems-thinking approach to problem-solving.
- Excellent communication skills and highly collaborative attitude to working with others.
- Cloud experience, preferable with Azure.
- Working with Kubernetes (AKS) and Docker.
- CI/CD pipelines experience; currently using Azure Devops and migrating in future to GitHub.
- Terraform.
- Any of the following skills: Instana, SonarQube, Wiz, Claude, Cursor.
To apply for this role as DevOps Engineer, click apply online and upload an updated copy of your CV.
Locations
DevOps Engineer in Edinburgh, Scotland employer: TEAM
Contact Detail:
TEAM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer in Edinburgh, Scotland
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend local meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your CI/CD pipelines, automation scripts, or any cool projects you've worked on. This is your chance to shine beyond the CV!
✨Tip Number 3
Prepare for the interview by brushing up on your cloud knowledge, especially Azure and Kubernetes. Be ready to discuss how you've tackled challenges in past roles—real examples go a long way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team!
We think you need these skills to ace DevOps Engineer in Edinburgh, Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the DevOps Engineer role. Highlight your experience with CI/CD pipelines, Azure, and any relevant AI tooling to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about DevOps and how your background aligns with our customer-focused culture. Share specific examples of your collaborative projects to stand out!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention your systems-thinking approach to problem-solving. We love candidates who can demonstrate how they’ve tackled challenges in previous roles!
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 this exciting opportunity!
How to prepare for a job interview at TEAM
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure DevOps, GitHub, and containerisation tools like Kubernetes and Docker. Brush up on your CI/CD pipeline knowledge and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Use a systems-thinking approach to explain your thought process and how you’ve optimised workflows or improved system reliability. This will demonstrate your ability to think critically and work collaboratively.
✨Emphasise Collaboration
Since the role requires a highly collaborative attitude, be ready to discuss how you’ve worked with cross-functional teams in the past. Highlight any experiences where you’ve acted as a partner to other teams, ensuring effective feedback loops and delivering successful outcomes together.
✨Be Ready for AI Discussions
Given the emphasis on leveraging AI tooling, prepare to talk about any experience you have with AI solutions in engineering workflows. Discuss how you’ve integrated AI into your processes and the impact it had on efficiency and productivity.