Lead DevOps Engineer

Elliptic has helped trace and disrupt over $21.8 billion in illicit crypto laundered across blockchains, from sanctioned nation states to organized crime networks hiding funds through token swaps and unregulated exchanges. It’s how compliance and investigations teams fight back, tracking and screening transactions with 99% market coverage.

The infrastructure behind all of this needs to be as resilient and sharp as the intelligence it delivers. We’re looking for a Lead Dev Ops Engineer to own and evolve our Dev Ops practices. This is a role for someone who combines deep technical ability with a genuine passion for growing the team. You'll lead a team of Dev Ops engineers while staying close to the technical work, setting direction on infrastructure, automation, and reliability.

The impact you will have:

As a Lead Dev Ops Engineer at Elliptic, you will have a deep impact across the company by championing Dev Ops, security, and reliability principles. You’ll help build a culture of automation, efficiency, and continuous improvement, empowering teams to deliver secure, high-quality software with confidence. You’ll work alongside experienced and passionate engineers who enjoy solving tough challenges and learning from one another.

This is a hands‑on team Lead role where you will balance technical expertise with team leadership.

What you will do:

• Own the Dev Ops and Platform roadmap
  , defining the automation, scaling, and multi-tenant Kubernetes-based Internal Developer Platform (IDP).

• Lead by doing - engineer, review, and enhance Kubernetes and CNCF-aligned infrastructure, setting technical standards.

• Architect multi-cluster, multi-region environments using Istio/Linkerd, Cluster API, and Kyverno.

• Build progressive delivery frameworks with Flux and Flagger for Git Ops-driven, canary, and automated releases.

• Implement modern provisioning with controllers like Crossplane and ACK for Kubernetes-native cloud integration.

• Define and enforce Zero Trust architecture with Vault, Boundary, service identity, and mTLS-secured meshes.

• Engineer policy-driven automation and compliance using OPA, Kyverno, and secure supply chain configurations.

• Establish IaC and Git Ops standards
  , adding automated testing to every infrastructure change.

• Prototype agentic infrastructure components
  , including deployment and observability platforms in service meshes.

• Design AI Gateways and Registries for traffic and event routing between microservices and autonomous agents via CNCF Gateway APIs.

• Champion Dev Sec Ops  maturity by embedding SAST/DAST, chaos engineering, and error budget monitoring.

• Collaborate with Security, Data, and AI teams to shape Dev Ops and AI platform architectures with regulatory compliance.

• Stay ahead of CNCF and AI ecosystem innovations
  , from eBPF observability to agent-aware orchestration.

What We’re Looking For

We value diverse backgrounds and paths to expertise. If you bring solid experience in several of the areas below, we encourage you to apply even if you don’t meet every detail.

Core Expertise

• Experience leading or mentoring engineering teams with the ability to set direction and contribute hands‑on.

• Strong Kubernetes knowledge, including cluster lifecycle management, API extensions, Operators, Helm, and the broader CNCF ecosystem (Cilium, External
  
  DNS, Kyverno, Gatekeeper).

• Designing and operating multi-cluster, multi-region Kubernetes platforms with service meshes such as Istio, Consul, or Linkerd and policy-based workload placement.

• Writing Infrastructure-as-Code with Terraform on AWS or GCP using modular design, Git Ops integration, and automated testing (Terratest, InSpec).

• Implementing Git Ops pipelines with ArgoCD or FluxCD for progressive delivery, drift correction, and multi‑environment releases.

• Building containerized, serverless, or event-driven systems with strong observability using Data Dog, Splunk, or Open Telemetry.

• Strengthening platform security through Vault-based secret management, least privilege access, and compliance automation.

• Designing CI/CD workflows that include SAST, DAST, policy enforcement, and performance telemetry.

• Improving reliability and resilience through SLOs, error budgets, and chaos…