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Lead Kubernetes Platform Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 11%

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Logo of EverOps

EverOps

51 - 200 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

💰 Pre Seed Round on 2022-02

B2B • Enterprise • SaaS

EverOps is a company that specializes in providing DevOps, IT operations (ITOps), and security operations (SecOps) services to help businesses tackle their biggest technology challenges. Founded in 2012, EverOps has a track record of empowering companies to improve their engineering efficiency, optimize cloud costs, and enhance their security posture. With a focus on technical excellence and strategic leadership, EverOps offers solutions for cloud cost optimization, engineering efficiency, and IT infrastructure modernization. Their approach integrates seamlessly with client teams to deliver rapid value and superior outcomes.

📋 Description

• Lead a two-month EKS modernization discovery • Baseline the multi-cluster production EKS estate, including inventory, topology, workload placement, ownership, cost, Kubernetes versions, and support status • Analyze failure domains, isolation boundaries, and dependency concentration • Design a multi-cluster target architecture with workload placement and tenancy models • Design and implement automated EKS upgrades, including blue/green or in-place approaches, 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 • Plan and drive phased ARM64/Graviton migration across Java, Go, PHP, and Python workloads • Configure Karpenter NodePools, weights, overlays, and safe Spot capacity patterns • Model compute, support, and commitment economics and quantify savings • Assess and improve ingress, Gateway API, service mesh, CNI, GitOps, and infrastructure-as-code posture • Quantify maintenance and toil, set reduction targets, and build automation • Define an AI-assisted DevOps agent workstream and assess platform readiness • Lead the TechPod as a player-coach and serve as primary contact for customer infrastructure leadership • Partner with AWS specialists on capacity planning and architecture decisions • Produce estate baselines, architecture designs, upgrade plans, roadmaps, and executive readouts • Present findings and recommendations to engineering leadership

🎯 Requirements

• 8+ years in DevOps, SRE, Platform, or Infrastructure Engineering • 4+ years operating production Kubernetes • Prior technical lead, staff, or principal-level experience • Deep production experience with Amazon EKS at large scale • Hands-on ownership of EKS version upgrades across multiple production clusters • Advanced production experience with Karpenter (v1+) • Strong understanding of EC2 instance families, generations, CPU architectures, and network performance limits • Experience migrating production workloads to Graviton or other ARM64 platforms • Experience 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 proficiency with Terraform • Experience with Helm and GitOps tooling such as Argo CD or Flux • Comfort using Datadog, Prometheus, Grafana, or comparable tooling • Strong scripting ability using Python, Go, or Bash • Ability to produce a current-state picture and roadmap in weeks • Ability to translate technical findings into cost, risk, and capacity terms • U.S. work authorization and sponsorship-status questions are required in the application

🏖️ Benefits

• 100% Remote Workplace • Unlimited Paid Time Off • Equity • 401K with company contribution • Sponsored healthcare • Training and certification programs for professional growth

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