Why This Role Stands Out
You'll be instrumental in shaping the platform layer of a groundbreaking AI company, leveraging your expertise in Python and Rust to optimize complex engineering systems and advance scientific computing. This hybrid role offers significant growth potential and the chance to collaborate closely with a dedicated team of engineers and scientists. If you're a curious and quality-driven Senior Software Engineer with a passion for deep-tech, this is an exceptional opportunity to make a real impact.
Quick Overview
Job Description
Exciting deep-tech start-up, an AI company focused on optimising complex engineering systems seeks a bright, forward thinking Senior Software / Backend Engineer to join their dedicated team. With strong software engineering skills in modern languages (to include Python and Rust) backed by a good academic history, you'll bring curiosity about scientific computing and care for code quality.
Applications are welcomed from Senior level up to Staff level Engineers with experience designing systems and the API between them; with proven experience of modern Python tooling and packaging, knowledge of Cloud computing or HPC job management, identity and authorization flows (such as OAuth2/OIDC).
This cutting-edge technology company, focused on optimizing complex engineering systems, seeks a top class Senior Software / Backend Engineer who will confidently work collaboratively with engineers and scientists to have a real say in how the platform layer is designed.
The Senior Software Engineer should bring the following skills and experience:
- Strong academic background. Could be Software Engineering, Computer Science, Physics or Scientific Software related.
- Strong software engineering skills in modern languages including Python & Rust.
- Experience designing systems and the APIs between them - services that coordinate work, manage state and handle failure.
- Focus on code quality.
Some / most of the following should support the skills above:
- Experience of Cloud computing or HPC job management (such as Slurm).
- Identity and authorization flows such as OIDC/OAuth2.
- Deploying containerized services on Linux (such as Podman).
- Infrastructure as code (such as Ansible, OpenTofu).
- Modern Python tooling and packaging such as uv.
- Data storage and pipelines, including large simulation results and model serving.
- API, REST, WebSockets such as FastAPI.
Hybrid working available (3 days office /2 WFH), a very generous base salary dependent on your level of skills and experience and benefits to include Shares, 30 days holiday + time off between Xmas and New Year, Private healthcare, Pension Plan, Life Assurance and much more.
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