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- Tasks: Build and maintain production-grade Python APIs and contribute to AI-driven tools.
- Company: Join a dynamic engineering team at Harrington Starr in Greater London.
- Benefits: Enjoy a strong benefits package and long-term career progression.
- 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at companies you're interested in. You never know who might give you a heads-up about an opening or refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving APIs or AI tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding API frameworks like FastAPI, Flask, or Django. Practice common interview questions and coding challenges to boost your confidence.
✨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 genuinely interested in joining our team!
We think you need these skills to ace Platform Python Engineer - APIs, AI Tools & Enterprise
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 in real projects, especially with APIs and any AI tools you've worked on.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention specific frameworks like FastAPI, Flask, or Django that you’ve used, and how they relate to the job.
Highlight Your AWS Knowledge: Since strong AWS knowledge is key for this role, be sure to include any relevant experience you have. We’re looking for how you’ve leveraged AWS in your past projects, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see what you bring to the table!
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, and have examples of projects where you've built APIs. This will show that you’re not just familiar with the language but can also apply it effectively.
✨Showcase Your AWS Expertise
Since strong AWS knowledge is a must for this role, prepare to talk about your experience with AWS services. Think of specific instances where you've used AWS in your projects, and be ready to explain how it improved your applications. This will demonstrate your technical prowess and problem-solving skills.
✨Understand AI Tools and Their Applications
As the role involves contributing to AI-driven tooling, do some research on current trends in AI and how they relate to Python development. Be prepared to discuss any relevant experience you have with AI tools and how you envision using them in your work. This shows your forward-thinking approach and adaptability.
✨Engage with Product Owners
Since you'll be working closely with product owners, think about how you can communicate effectively with non-technical stakeholders. Prepare examples of how you've collaborated with different teams in the past, and be ready to discuss how you can bridge the gap between technical and non-technical perspectives.