Lead Performance & Resiliency Engineer – AWS & K8s

ARCHER

Plano (TX)

On-site

USD 150,000 - 210,000

Full time

8 days ago

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Benefits offered by this job

Health Care Coverage
On-Site Health And Wellness Centers
Retirement Savings Plan
Backup Childcare
Tuition Reimbursement
Mental Health Support
Financial Coaching
Commission-Based Pay
Discretionary Incentive Compensation
Cash And/Or Forfeitable Equity

Job summary

ARCHER in Plano, TX seeks a senior performance and resiliency engineer to lead testing, capacity modeling, tuning, observability, incident analysis, and durable remediation for high-volume platforms. You will champion resilient service patterns, progressive delivery, rollback strategies, and optimized container workloads with autoscaling.

You will mentor cross-functional teams, drive production readiness, and collaborate across engineering and operations to improve release safety and system

Qualifications

  • Senior experience in performance engineering for distributed systems or production reliability engineering.
  • Strong AWS and Kubernetes/EKS experience; ECS experience beneficial.
  • Experience with modern observability tools; cross-team leadership and mentoring; KEDA or Karpenter experience a major plus; Akamai preferred.

Responsibilities

  • Lead testing, capacity modeling, tuning, observability, incident analysis, and durable remediation for high-volume platforms.
  • Improve release safety and production readiness by implementing resilient service patterns, progressive delivery, rollback, and optimized container workloads with autoscaling.

Skills

Performance Engineering
Resiliency Engineering
Distributed Systems
Site Reliability Engineering
Load And Stress Testing
Capacity Planning
Performance Tuning
Observability
Incident Management
Root-Cause Analysis
AWS
Kubernetes
Amazon EKS
Amazon ECS
Autoscaling
Technical Leadership

Tools

AWS
Kubernetes
Amazon EKS
Amazon ECS
KEDA
Karpenter

Job description

ARCHER in Plano, TX seeks a senior performance and resiliency engineer to lead testing, capacity modeling, tuning, observability, incident analysis, and durable remediation for high-volume platforms. You will champion resilient service patterns, progressive delivery, rollback strategies, and optimized container workloads with autoscaling.

You will mentor cross-functional teams, drive production readiness, and collaborate across engineering and operations to improve release safety and system

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