Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deploy and manage applications in GCP, design RESTful APIs, and implement automated testing.
- Company: Dynamic consulting firm based in the UK with a focus on innovation.
- Benefits: Competitive rate of £525, fast hiring process, and exciting projects.
- Why this job: Join a cutting-edge team and enhance your skills in Python and DevOps.
- Qualifications: Strong Python and GCP experience, plus DevOps skills including CI/CD.
- Other info: Fast-paced environment with opportunities for professional growth.
The predicted salary is between 42000 - 63000 £ per year.
A consulting firm based in the United Kingdom is seeking a Back-End developer specializing in Python and Google Cloud Platform (GCP). The role involves deploying and managing applications in GCP, designing RESTful APIs, and implementing automated testing strategies.
Applicants should have strong DevOps skills, including CI/CD pipelines and performance optimization experience.
This opportunity offers a competitive rate of £525 within IR35 and a fast hiring process.
Backend Python & GCP Engineer | API, DevOps & Security employer: Exalto Consulting
Contact Detail:
Exalto Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Python & GCP Engineer | API, DevOps & Security
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving GCP and APIs. 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 DevOps knowledge. Be ready to discuss CI/CD pipelines and performance optimisation strategies. We want to see that you can not only code but also deploy and manage applications effectively.
✨Tip Number 4
Apply through our website! It’s the quickest way to get noticed. Plus, we love seeing candidates who take the initiative to connect directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace Backend Python & GCP Engineer | API, DevOps & Security
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and GCP. We want to see how you've deployed applications and designed APIs, so don’t hold back on those details!
Show Off Your DevOps Skills: Since this role requires strong DevOps skills, include any experience you have with CI/CD pipelines and performance optimisation. We love seeing practical examples of how you've implemented these strategies.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about backend development and how your skills align with our needs. We appreciate a personal touch!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Exalto Consulting
✨Know Your Tech Stack
Make sure you’re well-versed in Python and GCP. Brush up on your knowledge of deploying applications in GCP and designing RESTful APIs. Be ready to discuss specific projects where you've used these technologies.
✨Show Off Your DevOps Skills
Prepare to talk about your experience with CI/CD pipelines and how you've optimised performance in past roles. Have examples ready that demonstrate your ability to implement automated testing strategies effectively.
✨Understand the Company’s Needs
Research the consulting firm and understand their focus areas. Tailor your answers to show how your skills can help them achieve their goals, especially in terms of API development and security.
✨Practice Problem-Solving
Expect technical questions or coding challenges during the interview. Practice common algorithms and data structures in Python, and be prepared to explain your thought process clearly as you solve problems.