DevOps / SRE Engineer (Kubernetes, AWS, Python)

DevOps / SRE Engineer (Kubernetes, AWS, Python)

Posted 4 days ago by BURGEON IT SERVICES LLC

Negotiable
Undetermined
Remote
Remote

Summary: The role of DevOps / SRE Engineer focuses on managing and supporting Kubernetes-based container platforms while developing automation solutions using Python. The position requires maintaining and optimizing AWS cloud infrastructure to enhance platform reliability and performance. The engineer will also support CI/CD processes and production operations. This is a remote position based in Austin, TX, with a duration of 12 months or more.

Key Responsibilities:

  • Manage and support Kubernetes-based container platforms
  • Develop automation solutions using Python
  • Maintain and optimize AWS cloud infrastructure
  • Improve platform reliability, scalability, and performance
  • Support CI/CD processes and production operations

Key Skills:

  • 5+ years of experience in DevOps or Site Reliability Engineering (SRE)
  • Strong hands-on experience with Kubernetes
  • Strong experience with AWS Cloud
  • Proficiency in Python Automation/Scripting
  • Experience with CI/CD pipelines, infrastructure automation, monitoring, and production support
  • Knowledge of containerized applications and cloud-native platforms
  • Troubleshooting and performance optimization skills

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: DevOps / SRE Engineer (Kubernetes, AWS, Python)

Location: Austin, TX /WFH

Duration: 12 months plus

Experience: 5+

Please share the resumes with me at

Key Skills Required:

  • 5+ years of experience in DevOps or Site Reliability Engineering (SRE)
  • Strong hands-on experience with Kubernetes
  • Strong experience with AWS Cloud
  • Proficiency in Python Automation/Scripting
  • Experience with CI/CD pipelines, infrastructure automation, monitoring, and production support
  • Knowledge of containerized applications and cloud-native platforms
  • Troubleshooting and performance optimization skills

Responsibilities:

  • Manage and support Kubernetes-based container platforms
  • Develop automation solutions using Python
  • Maintain and optimize AWS cloud infrastructure
  • Improve platform reliability, scalability, and performance
  • Support CI/CD processes and production operations