We are hiring a Platform Engineer II, to join the Foundation team. Your job is straightforward: build, improve, and operate the infrastructure primitives that every service at Chainalysis depends on - Kubernetes clusters, cloud networking, streaming infrastructure (Kafka / WarpStream), secrets management, IAM, and the reconcilers that make it all self-service and drift-free. This is an infrastructure-focused IC role at the C4 level, typically suited for someone with 3-5 years of experience. You will work alongside senior engineers who will pair with you, review your work, and invest in your growth. You will report to the Senior Manager of Platform Engineering.
In this role, you'll:- Build and maintain cloud infrastructure across AWS and GCP using Terraform - designing the modules and patterns that provision the substrate our services run on, and thinking beyond the immediate use case to how your work is consumed across the organization
- Operate and evolve multi-tenant Kubernetes clusters (EKS) serving the entire engineering organization - owning node lifecycle, upgrades, security contexts, and networking decisions that affect every team
- Own the operational side of our streaming infrastructure migration from managed Kafka (MSK) to WarpStream, building and maintaining the tooling that supports it
- Contribute to platform tooling and reconcilers that underpin our platform contract model - writing Go, working with the Kubernetes API, and building high-quality self-service primitives that engineering teams rely on to declare what their services need
- Design and maintain foundational networking and security infrastructure - transit gateways, GCP interconnect, ingress, security groups, IAM policies, and IRSA - getting the invisible plumbing right so nobody has to think about it
- Participate in on-call rotations and drive operational excellence - responding to infrastructure incidents, writing and improving runbooks, and feeding every incident pattern back into AI automation so the same class of issue never repeats
We're looking for candidates who have:- 3+ years of platform engineering experience
- Hands-on experience with AWS services (EC2, EKS, IAM, S3, VPC, or similar) - we're looking for people who have built and operated real infrastructure, not certifications
- Working knowledge of Kubernetes in production - you have operated or deployed workloads on K8s clusters beyond a local environment
- Experience with infrastructure-as-code (Terraform strongly preferred; Pulumi or CloudFormation acceptable)
- Proficiency in at least one of Go, Python, or shell scripting - Go is preferred because our reconciler work is in Go, but you should be ready to turn your hand to whatever the problem demands
- Comfort with CI/CD pipelines (GitHub Actions, Argo, Jenkins, or similar) and hands-on experience with on-call and incident response - you understand what it means to be accountable for production systems
You might also have:- Experience building Kubernetes operators or controllers - CRDs, reconcilers, and the controller-runtime library
- Familiarity with streaming infrastructure (Kafka, WarpStream, or similar event-driven systems) or depth in networking (VPCs, transit gateways, ingress controllers, DNS, load balancing, and security groups)
- Experience in regulated environments (SOC 2, ISO-27001, or similar compliance frameworks) or familiarity with GitOps patterns (ArgoCD, Flux)
- A passion for platform engineering as leverage - you care about making other engineers more productive, and when you see toil, your instinct is to eliminate it
Technologies we use:- Languages: Go, Python, Bash/Shell, HCL (Terraform)
- Cloud: AWS (EC2, EKS, IAM, S3, VPC, Lambda), GCP
- Infrastructure as Code: Terraform
- Kubernetes: EKS, Helm, CRDs, controller-runtime
- Streaming: Kafka, WarpStream (migrating from MSK)
- Networking: Transit Gateway, GCP Interconnect, Ingress Controllers, DNS, Security Groups
- Identity & Security: IAM, IRSA, Secrets Management
- CI/CD: GitHub Actions
- GitOps: ArgoCD, Flux
AI at ChainalysisAI 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.
