Senior DevOps Engineer — Kubernetes

Senior Dev Ops Engineer — Kubernetes — London, United Kingdom — Hybrid — Not Specified

Senior Dev Ops Engineer at Elliptic, London, United Kingdom.

Location:

London, United Kingdom

Work model:
Hybrid

Time zone:
Not specified

Work authorization:
Not specified

Elliptic provides blockchain intelligence solutions that help compliance teams, investigators, regulators, and financial institutions monitor and analyze digital asset activity across blockchain networks. The company’s infrastructure supports large-scale transaction screening, investigations, and risk management operations.

This Senior Dev Ops Engineer role focuses on building and operating resilient cloud infrastructure, Kubernetes platforms, CI/CD systems, observability frameworks, and security-focused engineering practices. Working across engineering teams, the position contributes to platform reliability, developer productivity, cloud-native architecture, and blockchain infrastructure roles while supporting scalable systems that process high-volume data and mission-critical workloads.

Relevant for organizations building a web3 engineering team focused on infrastructure, platform reliability, and cloud operations.

• Provide senior-level Dev Ops expertise and technical leadership across engineering teams.
• Promote Dev Ops, security, and reliability engineering best practices throughout the organization.
• Provision and maintain resilient infrastructure across multiple cloud regions and availability zones.
• Build compliant and reliable developer platforms centered around Kubernetes container orchestration.
• Enable continuous delivery and deployment through CI/CD pipelines and Git Ops methodologies.
• Support security-first development practices, automated testing, and progressive production deployments.
• Measure and improve developer productivity and software delivery lifecycle efficiency.
• Optimize infrastructure costs through rightsizing and on-demand environment provisioning.
• Implement monitoring, observability, security, and reliability capabilities using metrics, logs, tracing, dashboards, SIEM, and APM solutions.
• Reduce operational overhead through automation and long-term platform improvements.

Suitable for companies developing a web3 talent acquisition strategy around platform engineering and cloud infrastructure expertise.

• Strong experience in Dev Ops, security engineering, and reliability engineering.
• Production experience with Kubernetes, including cluster lifecycle management, APIs, Operators, Helm, add-ons, and CNCF ecosystem components.
• Infrastructure-as-Code expertise using Terraform across AWS and GCP environments.
• Experience provisioning cloud infrastructure using Kubernetes-based provisioning frameworks such as Crossplane, ACK, or KRO.
• Experience building cloud-native containerized and serverless applications in distributed Kubernetes environments.
• Knowledge of service mesh technologies such as Istio, Linkerd, or App Mesh.
• Experience developing and maintaining Helm charts for production deployments.
• Experience implementing CI/CD pipelines using Git Lab CI, Circle
  
  CI, Git Hub Actions, and Git Ops platforms such as ArgoCD or FluxCD.
• Experience troubleshooting distributed systems using observability tools including Splunk, Datadog, logging platforms, and tracing solutions.
• Experience managing secrets and credentials using Hashi Corp Vault.
• Experience implementing least-privilege access controls using tools such as Hashi Corp Boundary.
• Strong ownership mindset with a focus on reliability, performance, and operational excellence.

• Experience designing provisioning and testing strategies for multi-cluster Kubernetes environments.
• Experience building Terraform testing and validation frameworks for production infrastructure.
• Advanced service mesh implementation experience across Kubernetes environments.
• Experience developing Kubernetes Operators.
• Experience with open-source API gateways and ingress controllers.
• Software engineering experience using Go, Java, JavaScript, or Python.
• Exposure to distributed software architecture in high-volume production systems.
• Experience with Data Mesh architectures and technologies such…