Software Engineer – Backend (On-site)

JR United Kingdom; High Wycombe; On-site; GBP 70,000 - 90,000; Full time

Job summary

A stealth-mode AI laboratory in High Wycombe seeks a Software Engineer focused on backend development. The role involves creating robust systems for machine learning workloads employing cloud technologies. Ideal candidates will have experience in C# and AWS, complemented by strong problem-solving and collaboration skills.

Benefits

Discretionary Bonus

Equity

28 days + public holidays leave

Opportunities for professional growth

Engagement with high-profile customers

Qualifications

• 2-3 years of back-end development experience.
• Experience with cloud platforms like AWS.
• Strong analytical and problem-solving skills.

Responsibilities

• Design and develop scalable, fault-tolerant systems.
• Mentor colleagues and establish best practices.
• Leverage AWS and manage infrastructure with Terraform.

Skills

Backend development

Cloud-native technologies

Problem-solving skills

Communication and collaboration

Tools

AWS

Docker

Terraform

C# (.NET 9)

Postgres

Job description

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Software Engineer – Backend (On-site), High Wycombe

Client:

Location:

High Wycombe, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

Job Description:

Location: London (Liverpool Street)

Employment Type: Full-time and Permanent

Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity

We are a stealth-mode AI laboratory researching and developing Machine Learning models.

The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies.

The role involves designing and developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team but are not required to have a background in Machine Learning. This is an applied role, seeking a software engineer with experience in cloud computing and distributed systems.

In this role, you will:

• Design and develop highly-scalable, fault-tolerant, and event-driven systems.
• Take ownership of tasks with a high degree of autonomy.
• Collaborate with the founding team to establish best practices, standards, and company culture.
• Mentor colleagues to raise the company's skill level.
• Leverage AWS extensively, managing it with Terraform.
• Develop services in C# (.NET 9) and deploy via ECS or Lambda using GitHub Actions.
• Work with Postgres, SNS/SQS, and Redis.
• Maintain good end-to-end test coverage to ensure confident deployments.

What we are looking for:

• Back-end development experience: 2-3 years in developing reliable, scalable systems using an object-oriented programming language.
• Cloud-native technologies: Experience deploying to cloud platforms (AWS, GCP, Azure), containerisation (Docker), infrastructure-as-code (Terraform), and observability tools (Datadog, Grafana).
• Curiosity: Eagerness to learn and develop new skills.
• Problem-solving skills: Strong analytical abilities and attention to detail, with the capacity to break down tasks into actionable steps.
• Communication and collaboration: Excellent interpersonal skills, capable of engaging with both technical and non-technical stakeholders.

We acknowledge that few candidates meet all criteria—passion for solving complex challenges and willingness to learn are highly valued.

Nice to have:

• Machine Learning experience: Knowledge of generative models, LLMs, multi-modal models, and Deep Learning.
• Open-source contributions: Participation in open-source projects.
• Startup experience: Familiarity with startup environments and ecosystems.
• Experience in cutting-edge AI research environments.
• An official role of “Founding Engineer” with immediate impact.
• Competitive salary, equity, and benefits.
• 28 days + public holidays leave.
• Opportunities for professional growth.
• Work on impactful engineering problems.
• Engage with high-profile customers and partners.