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- Tasks: Build and improve Python-based backend systems for AI platforms.
- Company: Join a fast-growing open-source platform used by 2,000+ organisations globally.
- Benefits: Competitive salary, fully remote work, and high ownership in your role.
- Why this job: Make a real impact on innovative systems that power AI in production.
- Qualifications: Strong Python skills and experience with production systems required.
- Other info: Enjoy autonomy in a dynamic, distributed team environment.
The predicted salary is between 100000 - 120000 £ per year.
Remote (UK & Western Europe only)
Salary: £100k – £120k depending on experience
Most backend roles stop at APIs. This one doesn’t.
The company
You’d be joining a fast-growing, open-source platform used by 2,000+ organisations globally to manage and run AI systems in production. Rather than building models, the focus is on the systems and tooling that sit underneath, enabling engineering and data teams to run, monitor, and scale workloads in real environments. The product is already widely adopted and sits at the core of how teams move AI systems from experimentation into production.
The problem
As systems scale, the challenge becomes:
- Building backend systems that operate reliably under real production load
- Designing services that interact cleanly with complex infrastructure
- Maintaining performance and stability as usage grows
- Making powerful systems usable for engineers and end users
This is where most standard backend roles stop. This team is working further down the stack.
The role
You’ll be working on the application layer of the platform, building Python-based backend systems used directly by engineers and data teams. This is a software engineering role first, with an understanding of how systems behave in production environments. This includes:
- Building and improving backend services and APIs in Python
- Designing systems that operate reliably under real-world loads
- Solving performance and scalability challenges
- Working on systems that interact with Kubernetes and cloud environments
- Contributing to tooling used directly by customers and internal teams
You’ll be operating in a highly technical environment where engineers are expected to take ownership and work independently.
What they’re looking for
You’ll likely have experience with:
- Strong Python development (FastAPI, Django, Flask or similar)
- Building production systems in a product company
- Developing customer-facing or user-facing software
- Distributed systems and system design fundamentals
- Working with Kubernetes, cloud platforms, or infrastructure-adjacent systems
Most important:
- Clear communication in a remote environment
- Ability to work independently and manage your own work
- Strong understanding of the systems you’ve built and the decisions behind them
Nice to have
- Experience with data-heavy systems or AI/ML tooling
- Familiarity with event-driven systems (Kafka, RabbitMQ, etc.)
Setup
Fully remote across the UK and Western Europe
Contractor setup (long-term, treated like a permanent role)
Salary: €100k – €120k depending on experience
Why it’s interesting
- You’re working on systems that go beyond typical backend development
- High ownership and autonomy in a distributed team
- Direct impact on a platform used in real production environments
If this sounds like your kind of work, feel free to apply or reach out directly.
Senior Python Engineer in England employer: Strativ Group
Contact Detail:
Strativ Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Show off your skills! Create a GitHub repo with some of your best Python projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on system design and performance challenges, especially around backend systems. Being able to discuss your thought process will impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes tracking your application a breeze!
We think you need these skills to ace Senior Python Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant backend systems you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about this role and how your background makes you a perfect fit. Keep it conversational but professional – we love a bit of personality!
Showcase Your Projects: If you’ve got any projects that demonstrate your skills in building backend systems or working with cloud environments, include them! We’re keen to see what you’ve created and how you tackle challenges.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Strativ Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with frameworks like FastAPI, Django, or Flask. Be ready to discuss your past projects and how you've tackled challenges in building production systems.
✨Understand the Systems You’ve Built
Be prepared to explain the architecture of the systems you've worked on. Highlight your decision-making process and how you ensured reliability and performance under load. This shows you have a strong grasp of system design fundamentals.
✨Showcase Your Remote Work Skills
Since this role is fully remote, demonstrate your ability to communicate clearly and manage your own workload. Share examples of how you've successfully collaborated with teams in a distributed environment.
✨Prepare for Technical Challenges
Expect to face questions about scalability and performance issues. Think of specific scenarios where you solved such problems, especially in relation to Kubernetes or cloud environments. This will show your practical experience in handling real-world challenges.