Software Engineer, Mid/Senior (m/f/*)

You will have opportunities to contribute to exciting projects and grow your career in a supportive environment:

• (60%) Support the development and testing of features, fixes and general improvements to the core Quaisr product. Investigate and address production issues..
• (20%) 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.

What we offer

• Salary range of £60,000 to £85,000 depending on experience.
• Development training and support to learn required technical skills.
• 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 coding exercise (with a Quaisr team member on the call) working on a practical task related to cloud deployment or automation.
• (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us.

Do you have experience in Software deployment?, We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team., You are a software developer with a keen interest in generating real-world impact with industrial applications.

Must have:

• Evidence 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 communication skills.
• Existing interest in any of software automation, testing, or deployment.
• Understanding of software engineering best practices.
• Programming experience with any of C#, Rust, or other typed languages;
• Interest in cloud technologies: e.g. AWS or Azure.
• Eligibility to work in the UK.

Nice to have:

• Relevant degree in a STEM field (e.g., engineering, physics, mathematics, computer science).
• Previous applied experience, e.g. internships or research projects, with industry or in technology startups.
• DevOps experience with any of Kubernetes, HashiCorp Nomad, Docker;
• Keen interest in data-flow pipelines, databases, 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.
• Customer interaction experience., 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.

Bonus: * Existing interest in standard machine learning and deep-learning packages (scikit-learn, Keras, PyTorch); * Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; * Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. 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 pharmaceuticals, fast-moving consumer goods, defence, and energy sectors.