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- Tasks: Design and develop scalable backend services using Python and lead innovative projects.
- Company: Rapidly growing IaaS provider driving digital transformation.
- Benefits: Competitive salary, flexible working, wellbeing benefits, and clear career progression.
- Other info: Opportunity for mentorship and growth in a high-growth environment.
- Why this job: Join a collaborative culture and make an impact in the tech world.
- Qualifications: Strong Python experience and knowledge of system design and APIs.
The predicted salary is between 36000 - 60000 £ per year.
Working Hours: Full-time
Job Type: Permanent
Salary: Competitive
Location: Remote or Hybrid - London office
About The Client:
Our client is a rapidly growing Infrastructure-as-a-Service (IaaS) provider driving digital transformation.
Key Responsibilities:
- Architecture & System Design
- Design and evolve scalable backend services and product components.
- Make sound architectural decisions across APIs, services, and data layers.
- Lead delivery from design through production operation.
- Full-Stack Development
- Build backend systems primarily in Python.
- Develop secure, performant APIs supporting AI workflows.
- Contribute to modern web applications where required (e.g., Next.js).
- Reliability & Performance
- Improve monitoring, observability, and system resilience.
- Optimise performance and support production stability.
- Engineering Leadership
- Maintain high coding standards and test coverage.
- Contribute to code reviews and documentation.
- Mentor engineers and support technical growth.
- Collaboration
- Work closely with Product and Design to deliver scalable solutions.
- Communicate technical trade-offs and manage cross-team dependencies.
Essential skills and requirements:
- Strong experience building production backend systems and APIs in Python (Flask or similar).
- Proven ownership of asynchronous or compute-intensive workflows.
- Experience delivering full-stack features (e.g., Next.js).
- Practical understanding of AI lifecycle workflows (training, evaluation, deployment, inference).
- Solid system design knowledge including API design, SQL/NoSQL data systems, and security.
- Experience managing systems in production (monitoring, debugging, incident response).
- Familiarity with Git, CI/CD, Docker, and Kubernetes.
Desirable Skills:
- Exposure to LLMs or generative AI platforms.
- Experience with model lifecycle management or AI observability.
- Understanding of GPU-based or distributed systems.
- Experience building developer platforms or workflow orchestration tools.
What’s on Offer:
- Competitive salary + bonus
- Flexible remote or hybrid working
- Wellbeing benefits
- Clear progression in a high-growth environment
- Strong ownership and collaborative culture
Locations
Senior Software Engineer in Hampshire, Portsmouth employer: ByteHire
Contact Detail:
ByteHire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer in Hampshire, Portsmouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work at IaaS companies. A friendly chat can lead to referrals or insider info about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your backend systems and APIs built in Python. Include any projects related to AI workflows or full-stack features to catch the eye of hiring managers.
✨Tip Number 3
Prepare for technical interviews by brushing up on system design and API architecture. Practice explaining your thought process clearly, as communication is key when discussing technical trade-offs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Software Engineer in Hampshire, Portsmouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Software Engineer role. Highlight your experience with Python, backend systems, and any relevant projects that showcase your skills in architecture and system design.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our needs. Don’t forget to mention your experience with AI workflows and full-stack development.
Showcase Your Projects: Include links to your GitHub or any projects you've worked on that demonstrate your coding skills and engineering leadership. We love seeing real examples of your work, especially if they relate to scalable solutions or modern web applications.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at ByteHire
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and frameworks like Flask. Brush up on your knowledge of APIs, SQL/NoSQL databases, and any relevant tools like Docker and Kubernetes. Being able to discuss your experience with these technologies will show that you're a strong fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects, particularly around system design and performance optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you approached problems and what the outcomes were. This will demonstrate your engineering leadership capabilities.
✨Demonstrate Collaboration
Since the role involves working closely with Product and Design teams, be ready to share examples of how you've successfully collaborated in the past. Talk about how you communicated technical trade-offs and managed dependencies across teams. This will show that you can work effectively in a cross-functional environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI workflows, system resilience, and team dynamics. This not only shows your genuine interest in the role but also gives you a chance to assess if the company culture aligns with your values. Plus, it keeps the conversation engaging!