Senior Software Engineer – Backend (Remote)

JR United Kingdom; City Of London; Remote; GBP 81,000 - 108,000; Full time

Job summary

A leading AI laboratory is seeking a Senior Software Engineer to design and develop backend infrastructure for Machine Learning workloads. This remote role offers a competitive salary and the chance to work with a talented founding team on cutting-edge technology. Ideal candidates will have extensive back-end development experience and cloud technology expertise.

Benefits

Discretionary Bonus

Equity

28 days + public holidays allowance

Opportunities for professional growth

Qualifications

• 5+ years of industry experience in back-end engineering.
• Experience in architecting and deploying in cloud platforms.
• Strong analytical problem-solving skills.

Responsibilities

• Design and develop highly-scalable, fault tolerant systems.
• Lead projects from inception to launch with autonomy.
• Mentor colleagues and contribute to company standards.

Skills

Back-end development

Cloud-native technologies

Leadership

Problem solving

Collaboration and communication

Tools

AWS

Terraform

C# (.NET 9)

Postgres

Docker

Job description

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Senior Software Engineer – Backend (Remote), london (city of london)

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Client:

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

25.05.2025

Expiry Date:

09.07.2025

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Job Description:

Location: Remote

Employment Type: Full-time and Permanent

Remuneration (UK – Remote): £81–108k 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 the design and 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:

• Design and develop highly-scalable, fault tolerant and event driven systems.
• Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work.
• Work closely with the founding team and contribute towards best practices, standards, and culture of the company.
• Mentor your current colleagues, raising the bar for the company.
• 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: 5+ years of industry experience in back-end engineering, developing reliable and scalable systems with an object-oriented programming language.
• Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana).
• Leadership: A track record of leading complex projects.
• Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks.
• 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 solving complex challenges and open to learning new technologies, 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.
• 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.
• 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.