Senior DevOps Engineer

Elliptic • New York, NY

4d • $140,000 - $260,000 • Hybrid

About The Position

Elliptic is seeking a Senior DevOps Engineer to join their DevOps team. This is a hands-on technical role focused on building and running resilient, secure, and well-automated infrastructure. The role involves working closely with the DevOps Lead, other engineers, and cross-functional teams to support compliance and investigations technology. Current projects include delivering AI Gateway, supporting LangChain/LangGraph infrastructure for AI products, managing disaster recovery infrastructure, and administering Kubernetes clusters in multi-region AWS environments.

Requirements

• 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. Comfortable deploying, securing, and operating AI Gateways and services (e.g. Kong AI Gateway, LangGraph deployments, or similar).
• Thrive in a fast-paced environment and feel comfortable with ambiguity.
• 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.

Nice To Haves

• 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.

Responsibilities

• Engineer, review, and enhance Kubernetes and CNCF-aligned infrastructure day to day.
• 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.
• Contribute to the Kong AI Gateway, including Kubernetes operator setup, Dataplane deployments, ACM/SSL integration, and observability via DataDog.
• 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.
• 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.
• Collaborate with Security, Data, and AI teams on DevOps and platform decisions.

Benefits

• 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.
• L&D Budget: $1,000 annual Learning & Development budget.
• Holidays: 25 days of annual leave + 8 US Public Holidays.
• Birthday Leave: An extra day off for your birthday.
• Enhanced Parental Leave: 16 weeks fully-paid leave for eligible employees.
• Healthcare: Comprehensive medical, dental, and vision coverage.
• 401k: Company match included.
• Mental Health: Full access to Spill mental health support.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed