Who we are

By connecting simulations and data, we empower organisations to make informed decisions that unlock competitive advantages across the life cycle of engineered systems. The platform enables time-to-market acceleration, cost reductions, productivity improvements, and operational efficiency gains. We are building out what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the fast-moving consumer goods, defence, energy, and finance sectors.

Where we operate

Our office is in London (White City). This position is available full time in the UK.

When we work

We offer 25 days paid annual leave, excluding UK public holidays.

Who you are

We understand that no candidate will be an expert at everything, but if you feel that you have a good balance across the skills, with proven experience in multiple criteria, please apply. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes.

Must have:

• Be eligible to work in the UK;
• Experience with automation, testing, deployment and analytics tooling in a production environment: any of Docker, Kubernetes, HashiCorp Nomad, ELK stack, Grafana;
• Experience developing and deploying with cloud technologies: any of Microsoft Azure AKS, Amazon AWS EKS, managed cloud databases (e.g. managed PostgreSQL);
• Track record of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes;
• Strong written-communication skills.

Nice to have:

• Experience with any of Kubernetes YAML, HashiCorp HCL, bash, C#, Rust, Python, or TypeScript;
• Keen interest in data-flow pipelines, simulation, machine learning and/or security;
• Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail.

Bonus:

• Exposure to standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch);
• Experience with data science and simulation workflows in the manufacturing, energy and chemical process industries;
• Experience with high-performance computing (HPC).

What you will do

• (30%) Support the lifecycle of platform deployment to new and existing customers, including deployment creation, update and decommissioning steps.
• (50%) Improve deployment processes including deployment scripting, testing, continuous integration and continuous delivery.
• (20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars.

Technologies we use

For frontend development, we use TypeScript and React along with lightweight client-side state-management. For core backend systems, we use .NET technologies, with PostgreSQL via Entity Framework Core. For deployment, we place a high emphasis on containerisation technologies (Kubernetes) and typically deploy to customers via cloud-provider and high-performance computing (HPC) infrastructures. Our platform supports end-user code in Python, R and Julia; and we maintain and support SDKs in each of these languages.

We support async remote work, so drive our planning and execution through a mixture of Google Workspace, Slack communication, web based whiteboarding tools, Linear issue tracking, and GitHub issue tickets.

Our benefits

• Salary range of £50,000 to £72,500 depending on experience;
• Employee stock options;
• New equipment: MacBook Pro, and work-from-home allowance;
• Opportunities to attend technical conferences;
• Flexible hybrid working environment, blending work from the office and home.

Our hiring process

• (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you.
• (90 mins) Technical call with two Quaisr team members. We’ll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think!
• (45 mins) Online exercise (with a Quaisr team member on the call) covering basic DevOps concepts.
• (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us.

Application instructions

Please send a cover letter and CV to careers@quaisr.com.

Our policy on equality, diversity and inclusion

Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability.

One more thing

If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.