Software Engineer

Goldman Sachs, Inc.; Cambridge; On-site; GBP 70,000 - 90,000; Full time

Job summary

A pioneering tech startup in Machine Learning is seeking a Founding Engineer to design and develop backend infrastructure for ML workloads. You will lead projects, mentor colleagues, and work in a dynamic environment. Ideal candidates have 5+ years in back-end engineering, cloud platform experience, and strong problem-solving skills. Competitive salary, equity, and professional growth opportunities offered.

Benefits

Competitive salary, equity and benefits package

28 days + public holidays allowance

Opportunities for professional growth and progression

Work on challenging engineering problems

Collaborate with high-profile customers and technology partners

Qualifications

• 5+ years of industry experience in back-end engineering.
• Experience in architecting and deploying in cloud platforms.
• A track record of leading complex projects.
• Strong analytical problem-solving skills.
• Excellent interpersonal and communication skills.

Responsibilities

• Design and develop highly-scalable, fault-tolerant systems.
• Lead projects from inception to launch.
• Contribute towards best practices and standards.
• Mentor colleagues and raise the bar for the company.

Skills

Back-end development

Cloud-native technologies

Leadership

Problem solving

Collaboration and communication

Tools

AWS

Docker

Terraform

Datadog

Grafana

Job description

Overview

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.

Responsibilities

• 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.

Qualifications

• 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. Ability to break down complex projects into actionable tasks.
• Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders.

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.

Team & Role

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.

Role Title

An official role title of "Founding Engineer" - make an impact on day one.

Benefits

• 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.