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Software Engineer – Backend (On-site)

JR United Kingdom

Sheffield

On-site

GBP 70,000 - 90,000

Full time

10 days ago

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Job summary

A stealth-mode AI laboratory seeks a Backend Software Engineer in Sheffield to design and develop scalable systems. The role offers a competitive salary, equity, and opportunities for growth, with a focus on backend technologies and AWS. A collaboration-driven environment with an innovative founding team aims to address impactful engineering challenges.

Benefits

28 days + public holidays holiday allowance
Opportunities for professional growth and progression
Competitive salary, equity, and benefits

Qualifications

  • 2-3 years of industry experience in back-end development.
  • Experience deploying to AWS or other cloud platforms.
  • Strong analytical skills and attention to detail.

Responsibilities

  • Design and develop highly-scalable, fault-tolerant systems.
  • Collaborate to establish best practices and mentor colleagues.
  • Leverage AWS and manage infrastructure using Terraform.

Skills

Problem solving
Collaboration and communication
Curiosity

Tools

AWS
Terraform
Postgres
Docker
C# (.NET 9)

Job description

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Software Engineer – Backend (On-site), Sheffield, South Yorkshire

Location: Sheffield, South Yorkshire, 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; however, experience in Machine Learning is not required. 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, event-driven systems.
  • Take ownership of tasks with high autonomy.
  • Collaborate with the founding team to establish best practices, standards, and culture.
  • Mentor colleagues to raise the company's technical standards.
  • Leverage AWS extensively, managing it with Terraform.
  • Work with services written in C# (.NET 9), deployed via ECS or Lambda using GitHub Actions.
  • Use Postgres, SNS/SQS, and Redis.
  • Maintain good end-to-end test coverage for confident deployments.

What we are looking for:

  • Back-end development: 2-3 years of industry experience in developing reliable, scalable backend systems with 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: A strong desire to learn and grow.
  • Problem solving: Strong analytical skills and attention to detail.
  • Collaboration and communication: Excellent interpersonal skills with both technical and non-technical stakeholders.

We acknowledge that few candidates check all boxes—passion for solving complex challenges and willingness to learn are valued.

Nice to have:

  • Machine Learning: Experience with generative models, LLMs, multi-modal models, and Deep Learning.
  • Open-source: Contributions or experience in open-source projects.
  • Startup experience: Familiarity with startup environments and ecosystems.
  • Experience working on cutting-edge AI research.
  • Official role of “Founding Engineer” to make an impact from day one.
  • Competitive salary, equity, and benefits.
  • 28 days + public holidays holiday allowance.
  • Opportunities for professional growth and progression.
  • Work on impactful engineering problems.
  • Engage with high-profile customers and partners.
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