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- Tasks: Own and optimise an AWS environment while deploying innovative AI-driven products.
- Company: Join a forward-thinking recruitment firm in the heart of London.
- Benefits: Earn up to £525/day for a 3-month contract with flexible work options.
- Other info: Exciting opportunity to work with Databricks and Snowflake in a fast-paced setting.
- Why this job: Dive into AI tech and make a real impact in a dynamic environment.
- Qualifications: Strong AWS skills, Terraform knowledge, and Python scripting experience required.
The predicted salary is between 126000 - 126000 £ per year.
trg.recruitment is seeking a DevOps Engineer for a 3-month contract in London, offering up to £525/day. The role involves taking full ownership of an existing AWS environment, building standardized workflows, and deploying innovative AI-driven products.
Candidates should possess:
- Strong AWS experience
- Terraform proficiency
- Comfortable scripting in Python, particularly in data contexts
Familiarity with tools like Databricks and Snowflake is a plus, along with a genuine interest in AI technologies.
DevOps Engineer — AI‑Driven AWS Platform, Databricks/Snowflake in London employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer — AI‑Driven AWS Platform, Databricks/Snowflake in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or AI technologies. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Terraform and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on common DevOps scenarios. Be ready to discuss how you've tackled challenges in AWS environments and how you’ve implemented workflows. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace DevOps Engineer — AI‑Driven AWS Platform, Databricks/Snowflake in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AWS experience and Terraform skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI technologies and how your scripting skills in Python can contribute to our innovative projects. Keep it engaging and personal!
Showcase Your Tools Knowledge: If you’ve worked with Databricks or Snowflake, make sure to mention it! We love seeing candidates who are familiar with the tools we use, so don’t forget to include any relevant experiences.
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 from us!
How to prepare for a job interview at trg.recruitment
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be ready to discuss your experience with various AWS services, as well as how you've managed and optimised environments in the past. Having specific examples of challenges you've faced and how you overcame them will really impress.
✨Show Off Your Terraform Skills
Since Terraform proficiency is key for this role, be prepared to talk about your experience with it. Bring examples of how you've used Terraform to build and manage infrastructure. If you can, demonstrate your understanding of best practices and any innovative solutions you've implemented.
✨Scripting Savvy in Python
As scripting in Python is a must, make sure you can discuss your coding experience confidently. Prepare to explain how you've used Python in data contexts, perhaps by sharing a project where you automated tasks or processed data efficiently. Highlight any libraries or frameworks you're familiar with that are relevant to the role.
✨Passion for AI Technologies
This role involves deploying AI-driven products, so show your enthusiasm for AI technologies. Be ready to discuss any projects or experiences you've had with AI, Databricks, or Snowflake. Sharing your thoughts on current trends in AI can also demonstrate your genuine interest and keep the conversation engaging.