Senior Software Engineer - Backend

The role involves the design and development of backend services and 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 that directly power our core products.
• 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 colleagues and lead by example, raising the bar for the whole company.
• Help hire future colleagues and shape the team you want to work with.

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.

• Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented 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).
• Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship.
• Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact.
• Leadership: A track record of leading complex projects and influencing technical direction.
• 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.

How we work:

• We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well.
• This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive.

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 in an early-stage startup environment.

• 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.