Lead Performance & DevOps Engineer (Kubernetes, Cloud)

ARCHER

Atlanta (GA)

On-site

USD 140,000 - 190,000

Full time

3 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 seeks a lead for performance engineering and DevOps on its financial services platforms. You will drive load testing, performance analysis, and release certification while shaping a resilient Kubernetes-based infrastructure.

Responsibilities include building scalable CI/CD pipelines, improving deployment efficiency, and guiding teams in repeatable testing practices and engineering standards.

Qualifications

  • Requires bachelor’s degree in CS/CE or related field with 7+ years experience or master’s with 5+ years.
  • Experience with CI/CD, containers and Kubernetes, cloud infrastructure and IaC, programming and microservices, performance testing, high-availability systems, monitoring and quality tools, and Agile/DevOps practices.

Responsibilities

  • Lead performance engineering and DevOps for financial services platforms.
  • Oversee load testing, performance analysis, and release certification.
  • Build and maintain resilient Kubernetes-based infrastructure and CI/CD pipelines.
  • Guide teams in repeatable testing practices and engineering standards.

Skills

CI/CD Pipelines
Jenkins
Gradle
Maven
GitHub Actions
Docker
Kubernetes
AWS
Google Cloud Platform
Terraform
Ansible
Java
Python
Groovy
JMeter
Spring Boot

Education

Bachelor's degree in Computer Science, Computer Engineering, or related field
Master's degree in related field

Tools

Docker
Kubernetes
AWS
Google Cloud Platform
Terraform
Ansible

Job description

ARCHER seeks a lead for performance engineering and DevOps on its financial services platforms. You will drive load testing, performance analysis, and release certification while shaping a resilient Kubernetes-based infrastructure.

Responsibilities include building scalable CI/CD pipelines, improving deployment efficiency, and guiding teams in repeatable testing practices and engineering standards.

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