Lead Technical DevOps / Infrastructure Engineer

Deep Origin is a biotech startup building an operating system for science that transforms how life science research is conducted. Led by Michael Antonov, co-founder of Oculus, and backed by Formic Ventures, we are redefining the infrastructure behind modern drug discovery. As we scale our AI-driven platform and strategic programs, exceptional talent is a critical lever in accelerating our mission to dramatically reduce disease and extend human healthspan.

We are looking for a Senior DevOps / Infrastructure Engineer to join our existing DevOps team. This is a senior IC role with a broad technical scope: you will own complex initiatives end-to-end, drive collaboration across engineering and science teams, and set a high bar for how we build and operate infrastructure. A significant part of this role is supporting our R&D teams by running and evolving the compute clusters that power bioinformatics pipelines, ML training, and other HPC workloads.

Highly autonomous: able to operate with minimal guidance, prioritize work independently, and take full ownership of infrastructure decisions and outcomes.

• 10+ years of infrastructure and DevOps engineering experience, with a proven track record in senior or lead IC roles
• Ability to take end-to-end ownership of complex, multi-team initiatives and drive them from design through to production
• Hands-on experience running HPC or research compute clusters: bare-metal provisioning, Slurm (or equivalent), GPU infrastructure, and shared storage (NFS, Lustre, or similar)
• Comfortable operating in environments with a mix of cloud, VPS, and bare-metal systems, including legacy or non-standard setups
• Experience supporting scientific or R&D teams with mixed workloads: long-running CPU batch jobs, GPU training jobs, and interactive compute
• Deep, hands-on AWS expertise: EKS/Kubernetes, IAM, VPC networking, S3, RDS, and cost management
• Solid Terraform skills and a principled approach to infrastructure-as-code
• Strong Linux fundamentals and experience managing multi-node environments at scale
• Experience owning and improving production observability systems (Prometheus/Grafana, OpenTelemetry, ELK, or similar)
• Strong security fundamentals: threat modeling, least-privilege access design, vulnerability management, and compliance frameworks
• Experience owning incident management end-to-end, including process design and continuous improvement
• Excellent communication skills; able to work directly with researchers and scientists as well as with engineering and leadership
• Fluent English.

• Background in biotech, bioinformatics, or scientific computing environments
• SOC 2 Type II audit experience
• Monorepo tooling and developer platform engineering. 

• Own our cloud infrastructure across AWS and third-party hosting and compute providers; ensure it is reliable, scalable, and cost-efficient
• Own and operate bare-metal compute clusters: node provisioning, configuration management, networking, secure access, and ongoing reliability
• Build and maintain configuration management using Ansible (or similar), ensuring reproducible and scalable server provisioning
• Set up and maintain Slurm for job scheduling across CPU and GPU node pools; ensure researchers can submit, monitor, and manage jobs without DevOps involvement
• Design and manage cluster networking: management and storage networks, inter-node communication, DNS, and secure perimeter access, including bastion/jump host setup
• Deep hands-on experience managing Linux-based infrastructure, including networking, firewalls, VPNs, and performance tuning in distributed environments
• Own disaster recovery and business continuity: define RTO/RPO targets, maintain runbooks, and run regular tests
• Manage and optimize infrastructure spend through capacity planning, right-sizing, and intelligent use of reserved and spot capacity
• Manage Kubernetes clusters, networking, and workload scheduling across cloud and on-premise environments
• Enable infrastructure-as-code practices in Terraform; drive consistency, modularity, and auditability across the codebase
• Evolve our observability platform: improve coverage, reduce alert noise, and ensure engineering teams have the visibility they need to detect and resolve issues quickly
• Own security posture across the platform: IAM policies, secrets management, network segmentation, vulnerability management, and SOC 2 compliance
• Lead incident management: on-call processes, escalation policies, runbooks, and blameless post-mortems
• Drive CI/CD improvements and developer workflow initiatives that meaningfully increase engineering throughput
• Evolve internal tooling and CLI infrastructure that engineering teams depend on daily. 

• Ownership mindset — you take responsibility from A to Z
• Comfortable navigating ambiguity in a fast-moving startup environment
• Clear communicator who can collaborate across technical and non-technical teams
• Pragmatic problem solver focused on impact.
  

Why This Role Matters Now

As we scale our AI platform and expand into new initiatives, engineering velocity and platform reliability directly impact research outcomes and product milestones. This role plays a key part in strengthening our technical foundation during the growth phase.