DevOps Engineer

⚡DevOps Engineer 🌍Location: San Francisco, CA (On-site) 💲Compensation: $160,000-$225,000 base + strong upside My client is an early-stage, well-backed deep tech company, building an end-to-end platform spanning advanced modelling, environmental sensing, large-scale simulation, and real-world engineering systems , aiming to convert cutting-edge research into deployable, operational capability. The team brings together expertise across machine learning, atmospheric science, high-performance computing, aerospace systems, and software engineering . Despite being a lean, high-calibre team, they are operating at a level of ambition typically associated with national labs and large-scale research programmes. The Role We’re looking for a DevOps Engineer to own the infrastructure layer underpinning the entire platform. You’ll be responsible for building and scaling the cloud, compute, and deployment systems that enable a deeply technical team to operate with the velocity and leverage of a much larger organisation. What You’ll Do Own and scale multi-cloud infrastructure across AWS and GCP Build and maintain Terraform-based infrastructure across environments Design and operate robust CI/CD pipelines Manage containerised systems (Docker, Kubernetes) Support HPC and GPU compute environments for simulation and ML workloads Implement monitoring, observability, and reliability best practices Drive security, cost optimisation, and infrastructure governance What We’re Looking For Strong experience with AWS and/or GCP Deep Terraform / infrastructure-as-code expertise Experience designing and operating CI/CD systems Solid understanding of containers (Docker, Kubernetes) Strong Linux, networking, and production systems experience Comfortable operating in a fast-moving, high-ownership environment Nice to Have Experience with HPC / GPU infrastructure (SLURM, ParallelCluster) Background in ML, simulation, or data-intensive systems Workflow orchestration tools (Airflow, Dagster, Prefect) Why This Role Work on problems rarely tackled outside government or elite research environments Own infrastructure at a foundational level in a small, high-calibre team Operate at the intersection of science, ML, and real-world deployment Massive scope across cloud, compute, and large-scale data systems Build the infrastructure powering systems designed to solve some of the most complex real-world challenges at global scale. Show more Show less