About this role
Elliptic is the leader in digital asset decisioning, we have built the most comprehensive platform for efficiently extracting crypto data and intelligence across blockchains with the greatest accuracy.
Our platform’s unrivalled uptime, scalability, depth and breadth of our data and intelligence means exacting organizations choose Elliptic for their compliance, risk management, intelligence operations and blockchain infrastructure needs.
Founded in 2013, Elliptic is headquartered in London with offices in New York, Washington D.C., Miami, San Francisco, UAE, Singapore, Hong Kong and Tokyo. To learn more, visit www.elliptic.co and follow us on LinkedIn and X.
Do you want to run the infrastructure that helps trace $21.8B+ of illicit crypto activity across blockchains?
Elliptic is looking for a Senior DevOps Engineer to join our DevOps team. This is a hands-on technical role, working closely with the DevOps Lead, other DevOps engineers, and engineers across teams to build and run infrastructure that is resilient, secure, and well-automated.
The impact you will have:
As a Senior DevOps Engineer, you'll bring deep, hands-on Kubernetes, Terraform, and cloud expertise to the team. You'll help keep production infrastructure reliable and secure, and you'll work alongside engineers who care about doing this well. You'll be joining a small, high-output team that supports compliance and investigations technology used to trace billions in illicit crypto activity. Current major projects include delivering AI Gateway and supporting LangChain/LangGraph infrastructure for Elliptic's AI products, managing disaster recovery (DR) infrastructure, and administering Kubernetes clusters across multi-region AWS environments.
What you will do:
Kubernetes Platform & Infrastructure
Engineer, review, and enhance Kubernetes and CNCF-aligned infrastructure day to day
Help operate and improve multi-cluster, multi-region environments using tools like Istio/Linkerd, Cluster API, and Kyverno
Contribute to the DevOps and Platform roadmap, including Kubernetes platform evolution, application packaging and migration to EKS, and enabling engineering teams to ship reliably to production
AI Gateway
Contribute to the Kong AI Gateway, including Kubernetes operator setup, Dataplane deployments, ACM/SSL integration, and observability via DataDog
Delivery & Automation
Build and maintain progressive delivery pipelines (GitOps-driven, canary, automated releases) using tools like Flux and Flagger
Work with CircleCI for CI pipeline management alongside GitOps tooling
Maintain Infrastructure as Code and GitOps standards, including automated testing for infrastructure changes
Security & Compliance
Support Zero Trust practices using tools like Vault, service identity, and mTLS-secured meshes
Build policy-driven automation using tools like OPA or Kyverno
Work with provisioning tools such as Crossplane or ACK for Kubernetes-native cloud integration
Collaboration
Collaborate with Security, Data, and AI teams on DevOps and platform decisions
You will be a great fit here if you:
Thrive in a fast-paced environment and feel comfortable with ambiguity
Are passionate about building secure, scalable, and reliable systems
Take ownership and make thoughtful, data-informed decisions
Collaborate openly and enjoy learning from others
Put performance at the heart of how you work and are always looking to do your best work
Our ideal candidate has:
Strong, hands-on Kubernetes experience including cluster lifecycle management, API extensions, Operators, Helm, and the broader CNCF ecosystem
Strong Terraform experience; comfortable with complex state management and module design across cloud environments
Designing and operating multi-cluster, multi-region Kubernetes platforms with service meshes such as Istio, Consul, or Linkerd and policy-based workload placement
Implementing GitOps pipelines with ArgoCD or FluxCD for progressive delivery, drift correction, and multi-environment releases
AI fluency: Working knowledge of LLM-based services and AI infrastructure. You don't need to be an ML engineer, but you should be comfortable deploying, securing, and operating AI Gateways and services (e.g. Kong AI Gateway, LangGraph deployments, or similar)
Bonus Points for:
Experience with Operator development, CRD automation, eBPF, or Cilium for observability
Policy-as-code using OPA or Kyverno within secure supply chain frameworks
Exposure to AI-driven internal developer platforms or predictive observability using AI/LLMs
Experience with DataDog for observability, dashboards, and monitoring pipeline integrations
Contributions to open-source or CNCF community projects
How we work
Hybrid working: The option to work from almost anywhere for up to 90 days per year.
Remote Work Budget: $650 budget to set up your home office space.
Learning & Development
L&D Budget: $1,000 annual Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development.
Vacation / Leave
Holidays: 25 days of annual leave + 8 US Public Holidays.
Birthday Leave: An extra day off for your birthday.
Enhanced Parental Leave: We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.
Benefits
Healthcare: Comprehensive medical, dental, and vision coverage through a range of providers (including Tufts, Kaiser, Aetna, UHC, and Blue Shield of CA) with generous premium contributions for you and your dependents.
401k: Company match included.
Mental Health: Full access to Spill mental health support.
We know Diversity and Inclusion is much deeper than just hiring, but it’s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don’t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.