At a Glance
- Tasks: Build production-grade systems and design APIs in a dynamic AI-focused environment.
- Company: Exciting AI delivery company with a talented team and collaborative culture.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a growing team with real impact on innovative projects.
- Why this job: Join a well-funded team shaping the future of AI and software development.
- Qualifications: Strong Python skills, experience with APIs, and a passion for engineering.
The predicted salary is between 60000 - 80000 £ per year.
A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter.
You'll join as a Senior Software Engineer, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. It's not about knowing everything on day one. It's about being curious and pro-active to learn and evolve.
What we're looking for:
- Strong Python experience, particularly with asynchronous or distributed systems
- Solid experience building APIs and backend services
- Good understanding of cloud environments (Azure preferred), CI/CD, and deployment
- Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led)
- Someone who enjoys the craft of engineering, not just shipping code, but building things properly
- A genuine interest in AI and how it's shaping modern software development
Why this role:
- Fully remote across the UK
- Early-stage, but well-funded and already delivering real projects
- A chance to influence how things are built as the team scales
- Work that balances pace with quality, no endless POCs that go nowhere
If you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit.
Senior Python Software Engineer in Bolton employer: Spectrum IT Recruitment Limited
Contact Detail:
Spectrum IT Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Software Engineer in Bolton
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work in AI or software engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving APIs or cloud environments. 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 knowledge of asynchronous systems and deployment strategies. Be ready to discuss how you've tackled real-world problems in your past roles – they want to see your thought process!
✨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, it shows you're genuinely interested in joining our exciting journey in the AI space.
We think you need these skills to ace Senior Python Software Engineer in Bolton
Some tips for your application 🫡
Show Your Python Passion: Make sure to highlight your strong Python experience in your application. We want to see how you've used Python in real-world projects, especially with asynchronous or distributed systems. Don't just list your skills; tell us about the cool stuff you've built!
Talk About Your API Experience: Since you'll be building APIs and backend services, share specific examples of your work in this area. We love seeing how you've tackled challenges and delivered solutions that are both effective and efficient. Let your creativity shine through!
Cloud Knowledge is Key: If you have experience with cloud environments, especially Azure, make it known! We’re keen on understanding how you've integrated CI/CD practices into your projects. This will show us you're ready to hit the ground running in our tech stack.
Be Curious and Proactive: We value a curious mindset, so don’t hesitate to express your eagerness to learn and evolve. Share any recent tech trends or AI developments that excite you. This will help us see your genuine interest in the field and how you can contribute to our team!
How to prepare for a job interview at Spectrum IT Recruitment Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around asynchronous and distributed systems. Be ready to discuss your past projects where you've built APIs and backend services, as this will show your hands-on experience.
✨Show Your Curiosity
This role values a genuine interest in AI and modern software development. Prepare to talk about the latest trends in AI and how they can impact engineering practices. Share any personal projects or learning experiences that demonstrate your curiosity.
✨Understand the Cloud
Familiarise yourself with cloud environments, particularly Azure, as well as CI/CD processes. Be prepared to discuss how you've deployed and monitored systems in real-world scenarios, as this will highlight your practical knowledge.
✨Emphasise Quality Over Quantity
The team is looking for someone who enjoys the craft of engineering. Be ready to explain how you ensure quality in your work, from design to deployment. Discuss your approach to building production-grade systems rather than just prototypes.