Senior DevOps Engineer

Description

Hybrid 4 onsite / 1 work from home in Greenwood Village, CO

Our client is a leading telecommunications and mass media organization serving over 26 million customers across 41 states under the Spectrum brand. Founded in 1993, the organization operates as a major connectivity and cable operator with significant scale and assets, and trades publicly on NASDAQ under CHTR. The company focuses on delivering reliable services to consumers and businesses nationwide.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $76.00/hr. w2

• Design, implement, and manage Kubernetes clusters across public cloud platforms including AWS, Azure, and GCP.
• Architect, build, and maintain CI/CD pipelines to enable continuous integration, testing, and deployment.
• Collaborate with developers to optimize release processes, troubleshoot deployment issues, and improve delivery throughput.
• Implement and manage infrastructure as code using tools such as Terraform, Ansible, or Cloud Formation.
• Oversee containerization practices with Docker and microservices to ensure scalability and resilience.
• Develop monitoring, alerting, and observability solutions to maintain high system reliability.
• Champion Dev Ops best practices in automation, security, and performance optimization.
• Provide mentorship and technical guidance to junior engineers.

• Proven expertise deploying and managing Kubernetes clusters in AWS, Azure, or GCP.
• Strong knowledge of CI/CD concepts, workflows, and tools such as Jenkins, Git Lab CI, Git Hub Actions, or Circle
  
  CI.
• Hands-on development experience with modern languages such as Python, Go, Java, or C#.
• Proficiency with containerization and orchestration tools including Docker and Helm.
• Solid understanding of infrastructure as code and configuration management.
• Experience debugging distributed systems and solving complex reliability issues.
• Experience with Airflow or a similar orchestration tool (preferred).
• Advanced quantitative background such as a PhD in Mathematics (preferred).