Platform Engineer

Stack

Responsibilities

• ▹Build robust, secure, and scalable cloud infrastructure for AI and ML workflows
• ▹Partner with technical and non-technical stakeholders from idea generation through to implementation
• ▹Enable ML Engineers and Data Scientists via internal best practices, standards, and reusable code repos
• ▹Proactively identify and recommend new ways customers can leverage cloud infrastructure
• ▹Create and maintain reusable, company-wide libraries and infrastructure-as-code
• ▹Research and integrate the best open-source technologies

Requirements

• ▹Pragmatic and outcome-focused, balancing the big picture with the details
• ▹Scientific thinking: testing assumptions, seeking evidence, improving how things are done
• ▹A drive to learn, constantly exploring new technologies and applications
• ▹Deep experience with both Azure and AWS as well as Infrastructure as Code, especially Terraform
• ▹Experience building and deploying containerized solutions with Docker and Kubernetes, backed by strong CI/CD and GitOps practices
• ▹Proficient knowledge of networking and cloud security
• ▹Strong direct client and stakeholder work: requirements gathering, technical planning, and scoping

Soft skills

What we offer

• ▹Unlimited annual leave policy
• ▹Private healthcare and dental
• ▹Enhanced parental leave
• ▹Family-friendly flexibility and flexible working
• ▹Sanctus coaching
• ▹Hybrid working

About the company

Faculty's Life Sciences team builds AI solutions that optimise research and commercialisation of life-changing therapies, partnering with major pharma firms, academic research centres, and MedTech start-ups.