This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
The role
Building the data layer for physical and multimodal AI requires moving and processing petabyte-scale video, LiDAR, and sensor streams with zero room for infrastructure failure. This company has raised over $100M from leading global VCs and grown past 180 people in London, serving hundreds of the world's most advanced AI and robotics teams. The engineering culture is dense with top-tier researchers, quants, and systems engineers building mission-critical platform primitives from first principles.
You will join as a DevOps engineer embedded directly with the squads building the core platform. This is not an internal IT ticket-clearing desk or an afterthought support function; it is an infrastructure engineering role where you own reliability, scalability, and developer ergonomics across GCP and AWS. You will define how hundreds of services get deployed, observed, and scaled under heavy load, holding a high bar for automation and infrastructure-as-code.
The work
- Architect, scale, and maintain multi-cloud Kubernetes clusters, networking, and high-throughput storage across GCP and AWS, treating infrastructure-as-code via Terraform or Pulumi as the absolute default.
- Own and modernise end-to-end CI/CD pipelines, removing developer bottlenecks and enabling squads to ship reliably multiple times a day.
- Define SLIs and SLOs for critical services handling petabyte-scale multimodal datasets, leading blameless postmortems to continuously improve system resilience.
- Enforce platform observability standards, ensuring every service is fully instrumented with distributed tracing, structured logging, metrics, and actionable alerting before it hits production.
- Partner directly with product and systems engineers to profile bottlenecks, harden service architectures, and tune system performance under peak load.
What You Bring
- 4+ years of hands-on platform engineering, DevOps, or SRE experience maintaining mission-critical workloads in production.
- Deep operational experience with Kubernetes, container orchestration, and multi-cloud infrastructure across AWS or GCP.
- Production mastery of infrastructure-as-code using Terraform or Pulumi, alongside a track record of building automated CI/CD pipelines at scale.
- Strong fundamentals in distributed systems observability (metrics, logs, tracing, alerting), Linux operating systems, networking, and databases.
- Based in or able to relocate to London, working on-site four days a week.
Why apply through Dex
DevOps titles in fast-growing AI companies often disguise under-resourced, reactive firefighting rather than genuine platform engineering. Applying through Dex bypasses cold applications and connects you directly to vetted engineering leadership. You get briefed candidly on the real infrastructure challenges, team dynamics, and tech stack trade-offs before entering the process.
DevOps Engineer employer: Dex
At Dex, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys a hybrid working model, competitive benefits, and ample opportunities for professional growth, all while contributing to cutting-edge technology in the healthcare sector. Join us to make a meaningful impact in real-time systems and edge deployment, surrounded by a supportive team dedicated to excellence.
