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About the Role
As a Platform Engineer at Faculty, you will build and optimize cloud platform infrastructure and automated deployment solutions to ensure operational efficiency across complex projects. You will take ownership of account structures, security controls, and deployment automation while designing multi-environment setups. This is an opportunity to lead the execution of infrastructure problems, driving them from initial requirements to production-ready solutions.
Responsibilities
- Designing and building cloud platform infrastructure across multi-environment setups, including ownership of security controls.
- Creating and managing scalable Infrastructure as Code (IaC) for complex client environments.
- Optimizing container orchestration via Kubernetes to ensure high availability and resource efficiency.
- Implementing advanced monitoring, logging, and alerting frameworks to maintain production system health.
- Managing production environments and taking ownership of incident response and root cause analysis.
- Collaborating with Software and ML engineers to ensure applications are architected for production readiness.
- Mentoring and coaching Engineers through peer reviews and the sharing of engineering best practices.
Requirements
- Maintain high environment stability and drive infrastructure projects with minimal supervision, taking full accountability for system uptime.
- Apply deep experience in cloud networking, security, and identity management (IAM) to harden infrastructure against threats.
- Utilize Terraform or CloudFormation alongside hands-on code proficiency to deliver consistent, repeatable infrastructure.
- Possess the expertise to manage Kubernetes clusters and Docker environments at scale for modern ML platforms.
- Leverage strong Python skills to build robust platform tooling that allows agentic systems to interact reliably with infrastructure.
- Translate complex requirements into clear solutions, effectively communicating technical trade-offs to both engineering teams and client stakeholders.
- Eligible for UK Developed Vetting (DV) and willing to work on site with clients from time to time.
Skills
- Cloud networking
- Security
- Identity Management (IAM)
- Terraform
- CloudFormation
- Kubernetes
- Docker
- Python
Location
- On site with clients from time to time
Work Type
- Full-time
- Part-time
Experience Level
- Deep experience in cloud networking, security, and identity management (IAM)
- Expertise to manage Kubernetes clusters and Docker environments at scale
- Strong Python skills
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that makes a significant impact.
- Faculty brings unparalleled depth of technical, product, and delivery expertise to clients across government, finance, retail, energy, life sciences, and defense.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty empowers employees to envision and implement the most powerful applications of AI.
- The National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability.
- This unit strengthens mission-critical capabilities across national security and intelligence.
- This unit works with frontier labs to provide robust AI safety red teaming and evaluation.
- This unit operates at the frontier of high-stakes, high-impact missions.
- Faculty partners with Government and major tech organizations to ensure AI is transformative, secure, trustworthy, and safe.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought.
- Diverse teams deliver better work, relevant to the world.
- The team is united by deep intellectual curiosity and a desire to use abilities for measurable positive impact.
- Applications are strongly encouraged from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Faculty encourages applications even if candidates don't meet all requirements but are excited by the role and bring key strengths.
- Faculty is open to conversations about part-time hours.
- Faculty is happy for candidates to use AI for research and interview prep, but not to generate answers during live interviews.
- Faculty uses an AI note-taker (Metaview) in interviews, with an option to opt out.
- Every application is reviewed by a human, never decided by AI.