At a Glance
- Tasks: Develop and maintain Back End services for an innovative AI-focused insurance business.
- Company: Specialised recruitment agency in Greater London with a focus on cutting-edge technology.
- Benefits: Competitive salary, bonus, and hybrid work model for flexibility.
- Why this job: Join a forward-thinking team and shape the future of insurance with AI.
- Qualifications: 6+ years of Python experience, strong API skills, and Terraform expertise.
- Other info: Exciting opportunity to work in a dynamic environment with growth potential.
The predicted salary is between 60000 - 80000 £ per year.
A specialized recruitment agency in Greater London is looking for a Senior Python Engineer to develop and maintain Back End services and infrastructure for a cutting-edge insurance business focused on AI. The role involves building and deploying Python microservices, managing CI/CD processes, and integrating LLM-driven functionality into production systems.
Candidates should have over 6 years of experience in Python development, strong API skills, and hands-on Terraform expertise. A hybrid work model is offered along with a competitive salary and bonus.
Senior Python Backend Engineer - Production APIs & Infra employer: Pioneer Search Ltd
Contact Detail:
Pioneer Search Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Backend Engineer - Production APIs & Infra
✨Tip Number 1
Network like a pro! Reach out to fellow Python developers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving microservices and CI/CD processes. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your API skills and Terraform knowledge. Practice coding challenges and system design questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Python Backend Engineer - Production APIs & Infra
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it to build and maintain backend services, so share specific examples of your work!
Talk About Your API Experience: Since strong API skills are a must for this role, don’t hold back! Let us know about the APIs you've developed or integrated, and how they’ve made an impact on your projects.
CI/CD is Key: We’re keen on candidates who understand CI/CD processes. In your application, mention any tools or practices you’ve used to streamline deployment and ensure smooth operations.
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 get to know you better. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Pioneer Search Ltd
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around microservices and API development. Be ready to discuss your past projects in detail, focusing on how you’ve built and deployed Python applications.
✨Show Off Your CI/CD Knowledge
Since the role involves managing CI/CD processes, be prepared to talk about your experience with these tools. Highlight specific examples where you've implemented CI/CD pipelines and how they improved deployment efficiency.
✨Terraform Expertise is Key
With hands-on Terraform expertise being a requirement, ensure you can discuss your experience with infrastructure as code. Bring examples of how you've used Terraform in previous roles to manage cloud resources effectively.
✨Integrate AI into Your Answers
Given the focus on LLM-driven functionality, think about how you've integrated AI or machine learning into your projects. Be ready to explain the challenges you faced and how you overcame them, showcasing your problem-solving skills.