Graduate Software Engineer - Backend (Remote)

ZipRecruiter; Bolton; Remote; GBP 40,000 - 56,000; Full time

Job summary

Join a stealth-mode AI laboratory as a Founding Engineer. You will develop backend infrastructure for machine learning workloads and collaborate with a talented team composed of industry veterans. This unique role offers competitive salary, equity, and significant growth opportunities within a cutting-edge research environment.

Benefits

Competitive salary and equity package

Financial assistance for relocation to London

28 days + public holidays allowance

Opportunities for professional growth

Work on challenging engineering problems

Qualifications

• Experience in back-end engineering developing reliable systems.
• Experience in cloud platforms like AWS, GCP, or Azure.
• Strong analytical problem-solving skills.

Responsibilities

• Develop highly-scalable, fault tolerant systems for Machine Learning workloads.
• Take ownership of tasks with high autonomy.
• Contribute to company culture and best practices.

Skills

Problem solving

Collaboration and communication

Curiosity

Tools

AWS

Docker

Terraform

C# (.NET 9)

Postgres

Datadog

Grafana

Job description

Job Description

Team: Backend

Location: Remote

Employment Type: Full-time and Permanent

Remuneration (UK – Remote): £40–56k + 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 the development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems.

In this role, you will:

• Develop highly-scalable, fault tolerant and event driven systems.
• Take ownership of tasks, having a high degree of autonomy over your work.
• Work closely with the founding team and contribute towards best practices, standards, and culture of the company.
• Help co-hire your future colleagues.

Our tech stack:

• We use and leverage AWS as much as possible and manage it with Terraform.
• Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions.
• We use Postgres, SNS/SQS and Redis.
• We have good end-to-end test coverage and are confident in our deployments.

What we are looking for:

• Back-end development: Experience in back-end engineering developing reliable systems with an object-oriented programming .
• Cloud- technologies: Experience in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), and observability platforms (e.g., Datadog or Grafana).
• Curiosity: A hunger to learn and grow your skills.
• Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down a task into actionable steps.
• Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders.

We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you.

Nice to have:

• Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally.
• Open-source: Contributions to and experience in open-source projects.
• Startup experience: Experience with a startup work environment and wider ecosystem.

Why join us?

• Work in an environment conducting cutting-edge research in AI.
• An official role title of “Founding Engineer” – make an impact on day one.
• Competitive salary, equity and benefits package.
• Financial assistance for relocation to London.
• 28 days + public holidays allowance.
• Opportunities for professional growth and progression with your career.
• Work on challenging engineering problems that have a real impact on the industry.
• Work with high-profile customers and technology partners.