Senior Platform Engineer in London

The AI Operating System for Private Capital. Capsa AI is building the AI Operating System that will run investment processes for private capital funds in the future. We are focused, ambitious, and obsessed with building a category-defining company. In the last 12 months, we've grown ARR 15x, achieved product–market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top-tier VC investors to scale the team. We're hiring hyper-talented people who want to work at the forefront of AI and revolutionise an industry.

At a Glance:

• Location: London, UK (Hybrid, in-person 4 days per week)
• Team: Platform & Security
• Compensation: Top of market. Competitive base + ESOP

The role involves owning the infrastructure that an AI platform for the world's leading PE firms runs on. You'll join the Platform & Security team and take responsibility for our Kubernetes estate, multi-cloud footprint (Azure primary, plus AWS and GCP), Istio service mesh, Terraform-managed infrastructure, and LGTM observability stack, ensuring security is built into every layer of the platform.

You will also shape how our engineers ship: the paved roads, CI/CD pipelines, and guardrails that let a fast-moving product team deploy confidently without thinking about the infrastructure underneath.

The opportunity includes:

• Ownership: You'll own the platform end to end, making architecture calls, shipping them, and operating them.
• Foundations: The platform decisions you make now will carry the company through the next 10x.
• Growth: You'll work alongside a team of startup veterans and take on real responsibility from day one.
• Upside: You'll receive meaningful equity in a company that grew 15x last year.
• Impact: You'll leave an indelible mark on an industry responsible for ~7% of US GDP.

Recent projects include:

• Kubernetes at the core: Operating and scaling our K8s clusters: GitOps deployments with ArgoCD and Helm, networking with Istio, and increasingly demanding stateful and compute-heavy workloads.
• AI infrastructure: Self-hosted model serving and GPU workloads on Kubernetes as we bring more of our AI stack in-house, alongside our existing self-hosted search cluster.
• Infrastructure as code: A multi-cloud Terraform estate spanning Azure, AWS, and GCP, built for repeatability, auditability, and least privilege.
• Observability: Our LGTM stack (Loki, Grafana, Tempo, Mimir), making the platform's behaviour legible to every engineer on the team.
• Security & compliance: Identity and access, secrets management, network policy, and the hardening and compliance work our enterprise customers demand.

Your track record should include:

• Four or more years running production infrastructure at a venture-backed startup or top tech firm, owning systems end to end.
• Kubernetes in production, at depth. Designed, operated, and debugged real clusters under load. GitOps with ArgoCD, Helm, and Terraform as your default.
• Security is how you build. You design with IAM, secrets, and network boundaries in mind from the start.
• A passion for platform engineering; curious about how things work under the hood.
• Comfortable in fast-moving environments.

Nice to have:

• Experience with GPU and LLM workloads on Kubernetes, Istio or other service mesh, multi-cloud, the LGTM observability stack, and compliance work (SOC 2, ISO 27001).

How you operate:

• Accountable: You take responsibility for what you build and ensure it has a positive impact on our customers and the team.
• Secure by default: You believe the easy path should be the safe path, and you build the guardrails that make it so.
• Thoughtful: You think deeply about the problems you're solving and the changes you're making.
• Pragmatic: You accept that time is limited and information is incomplete, making progress regardless.

If this opportunity excites you, we'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months.

Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, colour, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Capsa AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization.