About the role
The Senior Kubernetes Engineer will own and deliver solutions for Kubernetes on client-owned infrastructure, including bare metal and private cloud environments. They will collaborate with cross-functional teams to design scalable, production-ready deployments and address operational risks.
What they look for
Requirements
Candidates must have 7+ years of professional experience with deep hands-on expertise in Kubernetes, CNI, persistent storage, and air-gapped deployments. The role requires the ability to manage stateful data workloads and implement security hardening in regulated environments.
Full description
This is a remote position.
We are looking for a Senior Kubernetes Engineer to join our team and take ownership of key areas within our technology and data platform. Owns Kubernetes on client owned infrastructure: bare metal, private cloud, and sovereign environments. Designs the reference deployment that a client operations team can install and run.
Key Responsibilities
- Own and deliver solutions within the scope of the role, from requirements and technical/design decisions through implementation and continuous improvement.
- Work closely with engineering, product, data, design, and business stakeholders to translate requirements into practical, scalable solutions.
- Apply strong engineering and/or domain expertise to build reliable, maintainable, and production-ready capabilities.
- Contribute to architecture, standards, documentation, quality, and technical decision-making appropriate to the role.
- Identify performance, scalability, data quality, usability, reliability, or operational risks and address them proactively.
- Collaborate across teams to ensure solutions integrate effectively with existing systems and platform components.
Requirements
- Experience: 7+ years of relevant professional experience.
- Strong hands-on experience with: Kubernetes on bare metal, CNI, CSI and persistent storage, ingress and load balancing, etcd operations, Helm, ArgoCD or Flux, Terraform, air gapped deployment.
- Built and operated production clusters on bare metal or private cloud, not only EKS, AKS, or GKE.
- Deep on what managed services abstract away: CNI behaviour, persistent storage, ingress and load balancing without a cloud provider, PKI and certificates, etcd backup and recovery.
- Air gapped or restricted network deployment, including image mirroring and offline installation.
- Runs stateful data workloads on Kubernetes: Kafka, Flink, Spark, databases, and their operators.
- Hardening in regulated environments: policy enforcement, network policy, secrets management, RBAC design.
- Capacity planning, high availability, disaster recovery, and zero downtime upgrades.
Preferred Qualifications
- GPU scheduling and node management for AI workloads.
- On premises deployment in telco or banking environments.
- Experience in client data centres and security reviews.
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