Senior Cloud Security Engineer, Kubernetes & Infra

Chainalysis; Oregon; Hybrid; USD 150,000 - 190,000; Full time

Job summary

Chainalysis is seeking a Senior Security Engineer, Infrastructure to secure and operate the cloud and Kubernetes environments that power our Hosted AI Platform and SaaS products. You will drive security engineering practices, tooling, and incident response across AWS and edge networks.

You will collaborate with Infrastructure Security, Platform Engineering, and AI Core teams to reduce risk and improve reliability, while delivering scalable guardrails and automated fixes.

Qualifications

• Production cloud infrastructure experience, preferably in AWS.
• Hands-on production Kubernetes experience.
• Experience authoring Terraform changes that have been reviewed and deployed to production.
• Production on-call or incident-response experience.
• Python or similar scripting ability, familiarity with monitoring/logging tools.
• Experience working with stakeholders across the R&D organization to collaborate and resolve security issues with urgency and a team-first approach.

Responsibilities

• Troubleshoot Kubernetes workloads and cloud services, investigating pod health, logs, errors, latency, and upstream provider issues to find root causes.
• Ship reviewed Terraform and Kubernetes changes that strengthen HAIP and broader cloud infrastructure security and reliability.
• Improve AWS and edge/network controls—including IAM, networking, secrets, encryption, logging, and Cloudflare—and reduce recurring misconfigurations through reusable patterns and runbooks.
• Use Python or similar scripting, monitoring improvements, and cross-team partnership to automate operational work and drive fixes through to completion.
• Participate in the AI Product on-call rotation, triage production alerts, communicate clearly, and expedite when needed.

Tools

Terraform

Kubernetes

AWS

Cloudflare

Git

Job description

Chainalysis is seeking a Senior Security Engineer, Infrastructure to secure and operate the cloud and Kubernetes environments that power our Hosted AI Platform and SaaS products. You will drive security engineering practices, tooling, and incident response across AWS and edge networks.

You will collaborate with Infrastructure Security, Platform Engineering, and AI Core teams to reduce risk and improve reliability, while delivering scalable guardrails and automated fixes.