19 часов назад
Software Engineer (TechOps)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (TechOps) (AI drug discovery/cloud infrastructure): Designing, operating, and refining research, development, and production cloud infrastructure for an AI-powered drug discovery platform with an accent on Kubernetes, Infrastructure as Code, and modern DevOps practices. Focus on building software development tools, making infrastructure and architecture decisions, and supporting machine learning and scientific teams across the software lifecycle.
Location: London, United Kingdom; hybrid work with attendance in the office 3 days per week
Company
applies AI and machine learning to drug discovery, developing predictive and generative models for designing medicines and advancing digital biology.
What you will do
- Design, operate, manage, and refine research, development, and production cloud infrastructure.
- Work with GCP, Kubernetes, Docker, Terraform, Kapitan, and related infrastructure tools.
- Develop tools and processes that improve software development practices and lifecycle management.
- Contribute to decisions about tooling, infrastructure, and architectural design.
- Collaborate with engineers, scientists, machine learning researchers, product, business development, and operations teams.
Requirements
- Strong experience with Docker, Terraform, and at least one major cloud platform.
- Hands-on experience managing Kubernetes clusters and a clear understanding of Infrastructure as Code.
- Extensive experience with modern DevOps, including CI/CD, release management, and automation.
- Experience with Helm, Kustomize, Kapitan, or similar deployment tools, plus Grafana, Prometheus, Splunk, or similar observability technologies.
- Strong Python programming skills and the ability to independently deliver solutions in cross-functional teams.
- Ability to work from the London office 3 days per week as part of the hybrid model.
Nice to have
- Experience with Google Cloud Platform and machine learning cloud infrastructure.
- Experience with GitHub Actions.
- Strong software engineering foundations before moving into technical operations.
- Experience identifying and mitigating security risks.
Culture & Benefits
- Hybrid working model designed to support knowledge sharing and collaboration.
- Collaborative environment spanning drug discovery, machine learning, engineering, product, and operations.
- Culture guided by thoughtfulness, bravery, determination, and teamwork.
- Learning-focused environment where employees are supported and encouraged to contribute diverse perspectives.
- Equal employment opportunities and reasonable accommodation for additional needs.
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