Member of Technical Staff - Infrastructure
Build and operate Kubernetes-based infrastructure for secure, reliable enterprise AI deployments across cloud and customer-managed environments. The role requires production Kubernetes experience, cloud infrastructure expertise, infrastructure as code, networking, security, and deployment automation.
About the job
Responsibilities
- Design, build, and operate infrastructure for enterprise deployments, including single-tenant and customer-hosted environments.
- Build deployment systems for cloud-native and enterprise environments.
- Own Kubernetes-based infrastructure for services, sandboxed agent execution, compute workloads, storage mounts, networking, and observability.
- Support scientific and computational workloads, including HPC-adjacent workflows, bioinformatics tools, batch execution, GPU/CPU compute, and large-scale file and data movement.
- Work with customer-facing teams on enterprise deployment planning, debugging, reliability reviews, and production operations.
- Help define the long-term architecture for deployments in pharma, biotech, academic, and research environments.
Requirements
- 2+ years of industry experience in infrastructure engineering, DevOps, SRE, platform engineering, cloud engineering, or a similar role.
- Strong hands-on experience with Kubernetes in production.
- Experience deploying and operating systems on AWS, Google Cloud, or Azure.
- Experience with infrastructure-as-code tools such as Terraform, Pulumi, CDK, or similar.
- Strong understanding of networking, IAM, VPCs, load balancers, DNS, certificates, secrets management, and cloud security fundamentals.
- Experience building CI/CD pipelines, deployment automation, environment provisioning, and operational tooling.
Nice-to-Haves
- Experience deploying enterprise SaaS into single-tenant, customer-hosted, VPC-isolated, or regulated environments.
- Experience building or maintaining R&D infrastructure in pharma, biotech, academic research, or life sciences organizations.
- Experience with HPC, bioinformatics infrastructure, scientific computing, workflow engines, or batch schedulers.
- Experience with Nextflow, Snakemake, Cromwell, Slurm, AWS Batch, EKS, ECS, FSx, Lustre, S3, or distributed filesystems.
- Experience with secure sandboxing or isolated execution environments such as gVisor, Kata Containers, Firecracker, or Kubernetes sandboxing.
- Experience supporting GPU-enabled workloads, large-scale data processing, or scientific compute clusters.
- Experience with enterprise identity, SSO, audit logging, compliance controls, customer networking, VPNs, private connectivity, or data residency requirements.
- Experience working directly with enterprise customers during deployment, onboarding, debugging, or production support.
Compensation and Benefits
- Competitive salary and equity share.
- Full medical, dental, and vision coverage, including free therapy sessions and an eyewear stipend.
- 401(k) (US only).
- Unlimited PTO (US only).
- Lunch and snacks in the office.
- Regular team offsites and company events.
Skills
Kubernetes, AWS, GCP, Azure, Terraform, Pulumi, Aws Cdk, Networking, IAM, Vpc, CI/CD, Python, Slurm, S3
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