EverOps

Platform Engineer

• 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

Lead Kubernetes Platform Engineer

Engineer

• Lead an embedded TechPod as Pod Leader and serve as the primary contact for customer engineering leadership
• Lead a two-month Observability Maturity Assessment
• Assess the observability estate across vendors, agents, collectors, query surfaces, data volumes, and operating model
• Validate metric cardinality, active series, scrape target health, log volumes, trace sampling, retention, and telemetry fidelity
• Build total cost of ownership comparisons for current and target states
• Design an AWS-native observability target architecture using OpenTelemetry and AWS services
• Partner with Security, Legal, and Engineering on telemetry classification and policy-driven retention
• Map current capabilities to AWS-native equivalents and identify gaps
• Define and run performance-parity tests for query performance, alert latency, and data fidelity
• Plan and lead migration execution, including pipeline cutover, porting log transforms to OpenTelemetry, rebuilding dashboards, and deduplicating/rebuilding alerts
• Define OpenTelemetry conventions, collector topology, and sampling strategy
• Rebuild service ownership tagging for telemetry cost attribution
• Analyze platform spend, licensing, and commit structures and inform vendor renewal strategy
• Lead working cadence with customer observability leadership
• Produce assessment reports, target architecture, cost model, migration plan, executive summary, and present findings to engineering leadership

Lead Kubernetes Platform Engineer

Lead Observability Engineer