Lead Performance & Reliability Engineer - AWS & Kubernetes

ARCHER

Chicago (IL)

On-site

USD 120,000 - 180,000

Full time

7 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

Job summary

ARCHER in Chicago seeks an experienced performance and reliability engineer to improve the performance, stability, and production readiness of high-volume platforms. You will lead capacity planning, observability improvements, incident analysis, and durable remediation across teams.

You will apply resiliency and progressive-release practices, optimize containerized workloads in AWS, and promote secure, AI-assisted software development across engineering teams.

Qualifications

  • Formal software engineering training or certification with at least 5 years of experience in performance or reliability engineering for production platforms.
  • Practical AWS and container experience; proficiency with observability tools.

Responsibilities

  • Improve performance, stability, and production readiness of high-volume platforms.
  • Apply resiliency and progressive-release practices; optimize containerized workloads.
  • Promote secure, AI-assisted engineering across teams.

Skills

Performance engineering
Reliability engineering
Distributed systems
AWS
Kubernetes
Amazon EKS
Amazon ECS
Observability
Load testing
Capacity modeling
Performance tuning
Incident triage
Root-cause analysis
Resiliency patterns
AI-assisted dev
Secure coding

Tools

AWS
Kubernetes
Amazon EKS
Amazon ECS

Job description

ARCHER in Chicago seeks an experienced performance and reliability engineer to improve the performance, stability, and production readiness of high-volume platforms. You will lead capacity planning, observability improvements, incident analysis, and durable remediation across teams.

You will apply resiliency and progressive-release practices, optimize containerized workloads in AWS, and promote secure, AI-assisted software development across engineering teams.

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