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- Tasks: Drive automation initiatives and develop observability solutions for data protection.
- Company: Dynamic tech firm in Glasgow with a focus on innovation.
- Benefits: Competitive contract, flexible onsite work, and opportunities for skill development.
- Why this job: Make a real impact by enhancing data reliability and service recovery.
- Qualifications: Strong Python skills, experience with CI/CD, and knowledge of observability tools.
- Other info: Collaborative environment with room for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: Glasgow – 2–3 days per week onsite. Duration: 12 months.
My client is searching for an Automation & Observability Engineer to help drive automation initiatives and develop observability and alerting solutions aligned with the Firm’s data protection strategy.
Responsibilities
- Work closely with internal teams to identify opportunities to improve the reliability of the data protection platform.
- Automate issue resolution, enhance observability and alerting to speed up service recovery, or a combination of both.
- Collaborate with the operations team to understand challenges and deliver effective solutions.
- Interpret ambiguous requirements, advise stakeholders, and clearly communicate complex technical concepts.
Required Skills
- Strong ability to interpret and refine ambiguous requirements.
- Excellent programming skills in Python; familiarity with Perl and/or PowerShell is a plus.
- Solid experience with Git and CI/CD pipelines (e.g., Jenkins).
- Strong knowledge of Prometheus, Grafana, Loki, and Cortex.
- Significant hands-on experience with Ansible.
- Strong understanding of REST APIs.
- Excellent debugging skills, including the ability to troubleshoot complex or unfamiliar issues beyond standard product documentation.
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
DevOps Engineer in Glasgow employer: Cititec
Contact Detail:
Cititec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. 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 automation and observability. This is your chance to demonstrate your programming prowess and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on common DevOps scenarios. Be ready to discuss how you've tackled challenges in the past, especially around automation and CI/CD pipelines. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace DevOps Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the DevOps Engineer role. Highlight your experience with automation, observability tools, and any relevant programming skills like Python. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills can help us improve our data protection platform. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's automating processes or developing observability solutions, we love seeing real-world examples of your work.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Cititec
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python. Be ready to discuss your experience with Git, CI/CD pipelines, and tools like Prometheus and Grafana. The more you can demonstrate your technical knowledge, the better!
✨Understand the Role's Challenges
Take some time to think about the challenges that come with automating issue resolution and enhancing observability. Be prepared to share your thoughts on how you would tackle these issues and improve the reliability of the data protection platform.
✨Communicate Clearly
Since the role involves interpreting ambiguous requirements, practice explaining complex technical concepts in simple terms. This will show that you can effectively communicate with stakeholders and internal teams, which is crucial for collaboration.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific examples where you've debugged complex issues or delivered effective solutions. Highlight your hands-on experience with Ansible and REST APIs, as this will demonstrate your ability to troubleshoot and resolve problems efficiently.