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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.
Improve the performance, stability, and production readiness of high-volume platforms through performance testing, capacity planning, observability, incident analysis, and durable remediation. Apply resiliency and progressive-release practices, optimize containerized workloads, and promote secure, validated AI-assisted engineering across teams.
Requires formal software engineering training or certification and at least five years of applied experience, including performance or reliability engineering for critical production platforms and practical AWS and container experience. Candidates should be proficient with observability tools and able to lead responsible, secure use of enterprise-authorized AI development tools while working independently on design and functionality problems.
Performance Engineering, Reliability Engineering, Distributed Systems, AWS, Kubernetes, Amazon EKS, Amazon ECS, Observability, Load And Stress Testing, Capacity Modeling, Performance Tuning, Incident Triage, Root-Cause Analysis, Resiliency Patterns, AI-Assisted Software Development, Secure Coding
Health Care Coverage, On-Site Health And Wellness Centers, Retirement Savings Plan, Backup Childcare, Tuition Reimbursement, Mental Health Support, Financial Coaching