Lead Kubernetes Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee a two-month EKS modernization discovery initiative

• Establish a baseline for the multi-cluster production EKS environment, which includes inventory, topology, workload placement, ownership, cost, Kubernetes versions, and support status

• Evaluate failure domains, isolation boundaries, and dependency concentrations

• Create a multi-cluster target architecture along with workload placement and tenancy models

• Design and execute automated EKS upgrades, utilizing blue/green or in-place methods, Karpenter drift-based node rotation, add-on compatibility, and API deprecation management

• Lead instance sizing, workload-fit analysis, capacity planning, bin-packing, network-limit analysis, and scale-up headroom planning

• Strategize and manage phased ARM64/Graviton migration for Java, Go, PHP, and Python workloads

• Set up Karpenter NodePools, including weights, overlays, and effective Spot capacity patterns

• Model compute, support, and commitment economics while quantifying potential savings

• Evaluate and enhance ingress, Gateway API, service mesh, CNI, GitOps, and infrastructure-as-code strategies

• Measure maintenance and toil, establish reduction targets, and develop automation solutions

• Define an AI-assisted DevOps agent workstream and assess platform readiness

• Lead the TechPod as a player-coach, acting as the primary liaison for customer infrastructure leadership

• Collaborate with AWS specialists on capacity planning and architectural decisions

• Create estate baselines, architecture designs, upgrade plans, roadmaps, and executive summaries

• Present findings and recommendations to engineering leadership

⛳️ Requirements

• 8+ years of experience in DevOps, SRE, Platform, or Infrastructure Engineering

• 4+ years of hands-on experience operating production Kubernetes environments

• Previous experience in a technical lead, staff, or principal role

• Extensive production experience with Amazon EKS at a large scale

• Direct ownership of EKS version upgrades across multiple production clusters

• Advanced experience with Karpenter (v1+)

• Strong understanding of EC2 instance families, generations, CPU architectures, and network performance limitations

• Experience in migrating production workloads to Graviton or other ARM64 platforms

• Proficient in modeling compute costs and commitments, including Savings Plans, Reserved Instances, and Spot

• Solid knowledge of AWS VPC CNI, ingress controllers, Gateway API, service mesh, and EKS load balancing

• Advanced skills in Terraform

• Experience with Helm and GitOps tools like Argo CD or Flux

• Comfortable using Datadog, Prometheus, Grafana, or similar tools

• Strong scripting capabilities in Python, Go, or Bash

• Ability to produce a current-state overview and roadmap in a matter of weeks

• Ability to translate technical findings into cost, risk, and capacity terms

• U.S. work authorization and sponsorship-status questions will be required in the application process

🏝️ Benefits

• Fully Remote Workplace

• Unlimited Paid Time Off

• Equity Opportunities

• 401K with company contributions

• Sponsored healthcare coverage

• Training and certification programs for professional development