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- Tasks: Automate processes and enhance observability for data protection strategies.
- Company: Join a forward-thinking firm focused on data reliability and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real difference in data protection while working with cutting-edge technologies.
- Qualifications: Strong Python skills and experience with automation tools like Ansible and Prometheus.
- Other info: Collaborative environment with a focus on solving complex challenges.
The predicted salary is between 36000 - 60000 £ per year.
The team is seeking an automation and observability engineer who will focus on automation as well as creating the observability and alerting solutions to meet the Firm's data protection strategy. Tasks will involve working with internal teams to understand the opportunities to improve reliability of the data protection plant. This will be done either by addressing the underlying issues via automation, or by improving alerting and observability to accelerate resumption of service, or both. You will work closely with the operations team to understand pain points and find solutions.
Required Skills:
- Excellent programming skills with Python. Extra points for experience with Perl and/or PowerShell
- Strong experience with Prometheus, Grafana, Loki, Cortex
- Strong experience with Ansible
- Strong experience with REST API
- Excellent ability to debug complex and novel issues, understanding the need to go beyond the documentation provided with a product
- Excellent analytical skills, capable of fast decision making using sound judgement, and not afraid to explore new ideas
- Excellent interpersonal skills in dealing with customers with differing technical specializations
- Good organizational and English communication skills are required, including prioritization of multiple projects and objectives
- Experience of backup and data protection platforms, in particular Veritas NetBackup
- Understanding of data deduplication technology
- Systems administration experience in UNIX and/or Windows Server environments
- Experience in other areas of storage SAN, NAS, S3 object storage
Python Automation Engineer in Glasgow employer: mthree
Contact Detail:
mthree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Automation Engineer in Glasgow
✨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 Python projects, automation scripts, or any observability solutions you've built. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to automation and observability. Practice explaining your thought process when debugging complex issues – it’s all about showing how you think!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Python Automation Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python programming skills and experience with automation tools like Ansible. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about automation and observability. We love seeing candidates who can articulate their interest in improving data protection strategies.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex issues in the past. We’re looking for those who can think outside the box and come up with innovative solutions, especially when it comes to debugging and improving reliability.
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 on joining the StudySmarter team!
How to prepare for a job interview at mthree
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python for automation. They’ll likely want to see your problem-solving approach, so think of specific examples where you’ve debugged complex issues.
✨Familiarise Yourself with Observability Tools
Since the role focuses on observability, get comfortable with tools like Prometheus, Grafana, and Loki. Prepare to explain how you’ve implemented these tools in previous roles and how they helped improve system reliability. Having real-world examples will make you stand out.
✨Understand the Legacy Tech Landscape
Don’t shy away from discussing legacy technologies. Be prepared to talk about your experience working with older systems and how you’ve integrated them with modern solutions. This shows adaptability and a comprehensive understanding of the tech stack.
✨Show Off Your Interpersonal Skills
This role involves working closely with various teams, so highlight your interpersonal skills. Think of instances where you’ve successfully collaborated with others to solve problems or improve processes. Good communication can set you apart from other candidates.
