Software Engineer - Platform

Stack

Responsibilities

• ▹Take ownership of existing deployment and MLOps tooling to ensure software delivery remains a lever for quality and reliability
• ▹Contribute to the continuous evolution of the technology stack, from notebook development environments to model monitoring systems
• ▹Collaborate with a small, fast-moving team of customer-facing technologists to design and build infrastructure
• ▹Design and implement infrastructure-as-code and DevSecOps processes for distributed, containerized microservices architectures
• ▹Integrate core platform services across multiple cloud environments, including AWS, Azure, and GCP
• ▹Scale internal enablement capabilities, removing technical friction and accelerating machine learning deployment

Requirements

• ▹Passion for building internal tools and the foundational systems that enable others to excel
• ▹Understanding of the nuances of the machine learning product lifecycle, from exploration to production
• ▹Modern systems programming skills in Python or Go
• ▹Practical experience with containerization and orchestration (Docker, Kubernetes) for distributed systems at scale
• ▹Strong background in Infrastructure-as-Code (Terraform or CloudFormation) with a deep interest in DevSecOps practices
• ▹Comfort with high ownership in small, ambitious teams, and effective communication with technical and non-technical peers

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

Since 2014, Faculty has been building responsible, human-centric AI, working with 350+ global customers across government, finance, retail, energy, life sciences, and defence to transform their performance.