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- Tasks: Build and maintain Python APIs and contribute to AI-driven tools.
- Company: Join a dynamic engineering team at Harrington Starr in Greater London.
- Benefits: Strong benefits package and long-term career progression opportunities.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make an impact in a global business while working with cutting-edge technology.
- Qualifications: 2+ years in Python development and experience with API frameworks.
The predicted salary is between 50000 - 60000 £ per year.
Harrington Starr is seeking a Full Stack Python Developer to join its engineering team in Greater London. This role involves building and maintaining production-grade Python APIs and services, contributing to AI-driven tooling, and working closely with product owners.
Candidates should have at least 2 years in Python development, experience with API frameworks such as FastAPI, Flask, or Django, and strong AWS knowledge.
The position offers a strong benefits package and long-term progression opportunities within a global business.
Platform Python Engineer - APIs, AI Tools & Enterprise in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Python Engineer - APIs, AI Tools & Enterprise in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Harrington Starr. A personal connection can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving APIs or AI tools. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and API frameworks like FastAPI, Flask, or Django. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Platform Python Engineer - APIs, AI Tools & Enterprise in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python development in your application. We want to see how you've built and maintained APIs, so share specific examples of your work with frameworks like FastAPI, Flask, or Django.
Talk About Your AWS Knowledge: Since strong AWS knowledge is key for this role, don’t forget to mention any relevant projects or experiences. We love seeing how you’ve leveraged AWS services to enhance your applications.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the role.
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 this exciting opportunity with our engineering team!
How to prepare for a job interview at Harrington Starr
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with frameworks like FastAPI, Flask, or Django. Prepare to showcase specific projects where you've built APIs or services, as this will demonstrate your hands-on expertise.
✨Showcase Your AWS Knowledge
Since strong AWS knowledge is a must for this role, be prepared to talk about your experience with AWS services. Think of examples where you've used AWS in your projects, and how it has helped you build scalable applications. This will show that you can contribute effectively from day one.
✨Understand AI Tools and Their Applications
As the role involves contributing to AI-driven tooling, take some time to familiarise yourself with relevant AI concepts and tools. Be ready to discuss how you've integrated AI into your previous work or how you envision using it in future projects. This will highlight your forward-thinking approach.
✨Engage with Product Owners
This position requires collaboration with product owners, so be prepared to discuss how you’ve worked with stakeholders in the past. Share examples of how you’ve gathered requirements, provided feedback, or contributed to product development. This will show that you’re not just a techie but also a team player.