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- Tasks: Build and improve backend systems for advanced AI research and deployment.
- Company: Innovative tech firm focused on impactful engineering solutions.
- Benefits: Competitive salary, benefits, and opportunities for career growth.
- Why this job: Make a real impact in AI development while owning your projects.
- Qualifications: Experience in backend engineering with a focus on quality and performance.
- Other info: Join a dynamic team where your work directly influences the future of technology.
The predicted salary is between 100000 - 150000 £ per year.
This is a role for engineers who want to work on problems that actually matter. You will be building backend systems that support advanced AI research and deployment decisions. The software you work on influences how complex models are tested, understood, and monitored before they reach the real world. This is serious engineering in a fast moving space, with high expectations around quality, reliability, and judgement.
What you will work on:
- Building and improving backend systems used by internal teams every day
- Working on tools that operate at scale and need to be both fast and dependable
- Helping shape how new systems are designed and brought into production
- Collaborating closely with technical stakeholders to solve ambiguous problems
- Taking real ownership over the software you build
Most of the work is Python, but this is not scripting. You will be designing systems that need to be correct, performant, and maintainable under real load.
What makes this role different:
- You are close to the problem, not buried under layers of abstraction
- You work directly with stakeholders and influence how tools are designed
- You will own features end to end, from idea through to production use
- Engineering standards are high, but speed still matters
- This is a role where judgement counts more than dogma
What they are looking for:
- Backend engineers who enjoy complexity and responsibility
- People who care about code quality but know when to move quickly
- Engineers who think in systems, not just features
- Those motivated by the impact of AI and how it is developed
Experience with LLMs, agents, cloud platforms, or security is a bonus, not a requirement. This is a career defining role for someone who wants to stay deeply technical and work on problems that will only become more important over the next decade. If you're looking for a role where you can make tangible impact, work on an interesting product, and be part of an exceptional team, get in touch at imogen@sr2rec.co.uk.
Senior Software Engineer in Slough employer: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your backend systems expertise. This is your chance to demonstrate how you tackle complex problems and deliver quality code.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and system design knowledge. Practice coding challenges and be ready to discuss your thought process when solving ambiguous problems—this is key for roles like Senior Software Engineer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team and working on impactful AI solutions.
We think you need these skills to ace Senior Software Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Python Engineer role. Highlight your backend development experience, especially in Python, and any relevant projects that showcase your ability to handle complex systems.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about building impactful software. Share specific examples of how you've tackled ambiguous problems and taken ownership of projects, as this is what we value at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, emphasise your ability to think in systems rather than just features. We want to see how you approach challenges and make decisions, so don’t shy away from discussing your thought process.
Apply Through Our Website: We encourage you to apply directly through our website. This helps us streamline the process and ensures your application gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially focusing on backend development. Be prepared to discuss your previous projects and how you've tackled complex problems using Python. This will show that you’re not just familiar with the language but can also apply it effectively in real-world scenarios.
✨Understand the Role of AI in Your Work
Since this role involves working closely with AI research, take some time to understand how AI models are tested and monitored. Familiarise yourself with concepts like LLMs and cloud platforms, even if they’re not a requirement. This knowledge will help you engage in meaningful conversations during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've solved ambiguous problems in your past roles. Highlight your thought process and how you collaborated with stakeholders to reach a solution. This will demonstrate your ability to take ownership and work effectively in a team.
✨Emphasise Quality and Speed
In your interview, balance your focus on code quality with the need for speed. Share instances where you’ve had to make quick decisions without compromising on standards. This will illustrate that you understand the importance of both quality and efficiency in software engineering.
