Senior Security Engineer, Platform Security

In this role, you’ll

• Perform Cloud Infrastructure Engineering in AWS and Kubernetes-based production environments, including inspecting pod health, reviewing logs, diagnosing restarts, and helping determine root cause or escalation paths.
• Use monitoring and logging tools such as Datadog, Grafana, Humio, ELK, or similar platforms to investigate incidents, search logs, and validate system behavior.
• Contribute Python scripts and small automation workflows for repetitive tasks, log parsing, remediation support, or operational efficiency.
• Participate in an on-call rotation supporting the company’s Hosted AI Platform, providing structured triage, communication, documentation, and resolution or hand-off as needed.
• Read and make targeted, well-reviewed changes to Infrastructure-as-Code and platform configuration, including Terraform and Kubernetes manifests, to strengthen guardrails and reduce operational risk.
• Support security reviews for new services and major infrastructure changes, helping identify misconfigurations and recommending practical mitigations that fit how teams build and operate.
• Collaborate with partners across Security, IT, Platform Engineering, Legal, Risk, and Investigations, building strong working relationships and practicing clear, empathetic communication.

We’re looking for candidates who have

• Experience working in AWS cloud environments in a security, operations, or infrastructure engineering capacity.
• Hands-on experience troubleshooting production systems; this is not a purely policy, audit, or advisory role.
• Experience using Python for scripting, automation, log parsing, or remediation workflows.
• Familiarity with AWS logging and telemetry pipelines, including CloudWatch, CloudTrail, and S3 log aggregation.
• Hands-on Kubernetes & Terraform experience, including inspecting pods, reading logs, troubleshooting restarts, and navigating deployments in production.
• Willingness to participate in an on-call rotation once every four weeks supporting the company’s Hosted AI Platform.
• Strong communication skills, with the ability to explain what you’re seeing and what you recommend as a next step to both technical and non-technical audiences.
• A learning mindset and growth orientation: you’re comfortable asking questions, seeking feedback, and taking ownership.

Nice to have experience

• Exposure to AI infrastructure, AI platform operations, or LLM-based systems.
• Exposure to crypto, blockchain, or other high-availability cloud infrastructures.

Technologies we use

• Cloud and containers: AWS, GCP, Kubernetes (EKS/GKE)
• Infrastructure-as-Code: Terraform
• Monitoring and logging: Datadog, Humio, Grafana, CloudWatch, CloudTrail
• Security tooling: Wiz, Cloudflare
• CI/CD and source control: GitHub, GitHub Actions, Jenkins, and related build/deploy tooling
• Languages and scripting: Python, Go, Java, Javascript

AI at Chainalysis

AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.

AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.