As a Senior Security Engineer, Infrastructure at Chainalysis, you’ll help secure and operate the cloud and Kubernetes environments that support Chainalysis products and our Hosted AI Platform (HAIP). You’ll combine production operations with practical security engineering: responding to platform alerts, troubleshooting infrastructure, and shipping guardrails and improvements through Terraform and Kubernetes. You’ll work closely with Infrastructure Security, Platform Engineering, AI Core, and other engineering partners to address risks at their source and make secure, reliable infrastructure easier to operate.
🏢 About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth.
🎯 The Role
This is a hands-on engineering role for someone who is comfortable in a terminal, has supported production systems, and can take an infrastructure issue from investigation through resolution.
✅ Key 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 escalate when needed.
📌 Required Qualifications
Production cloud infrastructure experience, preferably in AWS, plus working knowledge of security controls such as IAM, networking, secrets, encryption, or logging.
Hands-on production Kubernetes experience: inspect workloads, read logs, and troubleshoot failures using command-line tools.
Experience authoring Terraform changes that have been reviewed and deployed to production; comfort shipping changes through Git and pull requests.
Production on-call or incident-response experience, including alert investigation, clear communication, and sound escalation judgment.
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.
⭐ Desirable Experience
Experience operating AI/ML infrastructure, LLM platforms, or services integrating with model providers; familiarity with AI gateway concepts such as model routing or quotas.
Experience with Cloudflare or other edge/network security controls.
Exposure to cloud security posture management tools such as Wiz, Prisma Cloud, or Orca.
Experience with GitOps tools such as Argo CD or Flux.
Familiarity with blockchain, crypto, fintech, or regtech infrastructure.
Please let Chainalysis Careers know that you found this role at devopsprojectshq.com as a way to support us, so we can keep providing you with awesome DevOps jobs.
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