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For Companies At a Glance
- Tasks: Design and build scalable AI systems, connecting edge environments with backend services.
- Company: A dynamic tech company focused on innovative data-driven solutions.
- Benefits: Autonomy in your role, influence over technical direction, and opportunities for long-term growth.
- Why this job: Join a hands-on team solving complex engineering challenges in a cutting-edge environment.
- Qualifications: Strong Python and Go experience, with a solid background in distributed systems.
- Other info: Ideal for senior engineers seeking to make a real impact in tech.
The predicted salary is between 36000 - 60000 £ per year.
My Client is a privately owned technology company operating in a specialist, data-driven domain, currently scaling a complex software platform built around edge computing, distributed systems, and AI workloads. They are seeking an experienced AI Systems Architect to take technical ownership of the core system architecture as the platform evolves and scales. This role is being handled confidentially and offers significant autonomy, influence over technical direction, and long-term progression for the right individual.
The Role
This position sits at the intersection of systems architecture, backend engineering, and platform reliability. You will design and build the infrastructure that connects distributed edge environments with backend services, ensuring systems are scalable, observable, and robust in production. The role is hands-on and suited to someone who enjoys solving complex engineering problems rather than operating purely at a conceptual level.
Key Responsibilities
- Own and evolve end-to-end system architecture across edge and backend environments
- Design and build backend services and APIs using Go and Python
- Develop scalable data ingestion, messaging, and telemetry pipelines
- Support containerised deployments and system reliability
- Work closely with senior engineers to align architecture with delivery
- Identify and manage trade-offs around performance, latency, and scalability
- Document system design and architectural decisions clearly
Essential Experience
- Strong experience with Python in production environments
- Commercial experience using Go (Golang) for backend or systems development
- Solid Linux background
- Proven track record designing and supporting production distributed systems
- API design and integration experience
- Strong understanding of networking and system interactions
Desirable Background
- Edge or distributed computing environments
- Event-driven or messaging-based architectures
- Telemetry, monitoring, or data-intensive platforms
- Containerisation and deployment workflows
- Exposure to constrained or non-traditional runtime environments
Profile Sought
- Senior engineer or architect who remains hands-on
- Comfortable operating with incomplete information and evolving requirements
- Pragmatic decision-maker who understands real-world trade-offs
- Clear communicator with strong documentation habits
- Interested in long-term technical ownership rather than short-term delivery
If you are interested in this position, please Click Apply Now!
Locations
AI Systems Architect in Cheshire, Winsford employer: Adria Solutions
Contact Detail:
Adria Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Systems Architect in Cheshire, Winsford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 or GitHub repository showcasing your projects, especially those involving Python and Go. 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 system design and architecture principles. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you tackle complex problems!
✨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 take that extra step to engage with us directly.
We think you need these skills to ace AI Systems Architect in Cheshire, Winsford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Systems Architect role. Highlight your experience with Python, Go, and any relevant distributed systems work to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled complex engineering problems and your approach to system architecture.
Showcase Your Hands-On Experience: We love candidates who are hands-on! Be sure to mention any projects where you’ve designed and built backend services or worked with containerised deployments. Real-world examples will make your application stand out.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in Cheshire.
How to prepare for a job interview at Adria Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and Go, as these are crucial for the role. Brush up on your knowledge of distributed systems and edge computing, and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex engineering problems you've tackled. Highlight your hands-on experience and how you approached challenges, focusing on your decision-making process and the trade-offs you considered.
✨Communicate Clearly and Effectively
Since clear communication is key, practice explaining your architectural decisions and system designs. Use simple language to convey complex ideas, and be ready to document your thought process during the interview.
✨Align with Their Vision
Research the company’s goals and values, especially regarding their platform's evolution. Be prepared to discuss how your long-term vision aligns with theirs, showing that you're not just looking for a job but a place to grow and contribute.
