Senior/Staff Platform Engineer, Infrastructure & Security

The role

You will build and operate secure cloud infrastructure and automate controls. You will focus on cloud security, infrastructure maintenance, and control automation for compute-intensive workloads.

What you will do

• Build and maintain secure infrastructure.
• Improve cloud and Kubernetes configuration, network boundaries, machine identities, secrets management, least-privilege access, and audit logging.
• Own the infrastructure maintenance lifecycle.
• Implement and automate compliance controls.
• Make recovery dependable by implementing and testing backup/restore procedures.
• Improve operational readiness through alerts, incident playbooks, and production troubleshooting.
• Contribute to infrastructure efficiency regarding resource usage and cost.
• Partner on safe deployment and data access.

Required qualifications

• Experience owning production cloud infrastructure, including maintaining it, diagnosing failures, and making changes safely.
• Hands-on experience implementing security controls such as IAM, secrets management, network restrictions, audit logging, vulnerability remediation, or secure configuration.
• Practical Kubernetes, container, and infrastructure-as-code experience.
• Strong troubleshooting skills across Linux, networking, cloud services, and application behavior.
• Ability to build and maintain tested automation and small tools in a language such as Python or Go.
• Ability to translate security requirements into technical controls and demonstrate that they work.
• Interest in owning recurring operational work and improving how it gets done.
• Clear communication and prioritization.

Nice to have

• Experience implementing technical controls or automating evidence for SOC 2, ISO 27001, FedRAMP, or a comparable program.
• Experience with AWS GovCloud, customer-managed infrastructure, or restricted-network environments.
• Familiarity with observability tools such as Prometheus, Grafana, OpenTelemetry, or cloud-native equivalents.
• Experience with artifact signing, software provenance, or automated verification of software supply-chain controls.
• Familiarity with GPU, ML, batch, or other compute-intensive workloads and their capacity/cost tradeoffs.

Benefits

• Interesting and challenging work
• Competitive salary and equity benefits
• Health, dental, and vision insurance
• Regular team events and offsites (~4x / year)
• Unlimited paid time off
• Paid parental leave

Before you apply

• Focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent.

About the company

Quilter helps electrical engineers save time by automating the design of printed circuit boards (PCBs). The team uses AI to automate placement and routing.