Lead Kubernetes Platform Engineer
EverOps · Remote · Remote ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Lead Kubernetes Engineer
- Fully remote (US-based)
- Amazon EKS at scale
- Karpenter & Graviton
- Player-coach role
Join EverOps as a player-coach leading an embedded TechPod for a major consumer mobile client. You will drive a two-month discovery phase followed by the execution of a modernization program for a large-scale Amazon EKS estate.
Your work focuses on reducing blast radius, automating upgrades, migrating to Graviton, and optimizing compute costs. Success is measured by lower cost per user and reduced maintenance toil for the client's engineering teams.
What you'll do
- Baseline multi-cluster EKS estates including topology and costs
- Design multi-cluster architectures to reduce failure blast radius
- Automate upgrade cycles using blue/green or drift-based rotation
- Drive phased migration of workloads to ARM64 Graviton instances
- Configure Karpenter NodePools for price-performance optimization
- Model compute economics including Savings Plans and Spot usage
- Improve ingress, service mesh, and GitOps posture across clusters
- Lead the TechPod and serve as primary contact for client leadership
What you'll need
- 8+ years in DevOps, SRE, or Platform Engineering roles
- 4+ years operating production Kubernetes at technical lead level
- Deep experience with Amazon EKS at very large scale
- Hands-on ownership of complex EKS version upgrades and rollbacks
- Advanced production experience with Karpenter v1+
- Strong understanding of EC2 instance families and network limits
- Experience migrating production workloads to ARM64/Graviton
- Proficiency with Terraform, Helm, and GitOps tools like Argo CD
- Ability to script automation workflows in Python, Go, or Bash
Nice to have
- Experience with high-traffic B2C platforms with sharp daily peaks
- Background in designing cell-based or multi-cluster architectures
- Expertise in running Spot capacity for stateful stream-processing
- Knowledge of JVM tuning when moving to new instance generations
- Experience with Bottlerocket or similar container-optimized OS
- Background in building AI agents for infrastructure operations
- Relevant certifications like CKA, CKS, or AWS Professional
Stack
- Amazon EKS
- Kubernetes
- Karpenter
- Terraform
- Helm
- Argo CD
- Flux
- Datadog
- Prometheus
- Grafana
- Python
- Go
- Bash
- AWS VPC CNI
- Gateway API
How you'll work
- 100% remote workplace
- U.S.-Based Virtual Operating Center
- Embedded team model with client interaction
What you get
- Unlimited Paid Time Off
- Equity participation in the company
- 401K with company contribution
- Sponsored healthcare coverage
- Access to training and certification programs