Cloud RAN Automation Engineer II at EchoStar
Littleton, CO 80120, USA -
Full Time


Start Date

Immediate

Expiry Date

14 Nov, 25

Salary

83160.0

Posted On

14 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Automation, Computer Engineering, Kubernetes, Operations, Aws, Communication Skills

Industry

Information Technology/IT

Description

Company Summary
EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Department Summary
Our Wireless Technology organization is transforming the future of connectivity. We’re doing it by building the country’s first virtualized, standalone 5G wireless network from scratch. The foundation of a connected world, it’s a network free of the limitations of the past, and flexible enough to satisfy all the social, economic and transformative needs of the changing world.
Job Duties and Responsibilities

EDUCATION AND EXPERIENCE:

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field; or equivalent combination of education and experience
  • Minimum of 5 years of experience with AWS or related cloud technologies, with a focus on automation and management

SKILLS AND QUALIFICATIONS:

  • Good understanding of Open RAN architecture, including RAN CU and DU deployments
  • Extensive hands-on experience managing Kubernetes clusters and deploying microservices
  • Proficient in networking concepts relevant to Kubernetes and Open RAN (e.g., ingress controllers, service meshes)
  • Strong problem-solving skills with a collaborative approach to team challenges
  • Excellent communication skills for documenting requirements and facilitating discussions with stakeholders
  • Familiar with CI/CD pipelines and Kubernetes tools (Helm, Prometheus) for managing and automating operations

How To Apply:

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Responsibilities
  • Oversee AWS-based cloud resources for Open RAN deployments
  • Design and implement Open RAN architecture with seamless cloud integration
  • Manage and scale Kubernetes clusters for high-performing Open RAN workloads
  • Automate cloud and Open RAN deployment using tools like Airflow, Ansible, and Terraform
  • Implement monitoring and automated incident response for minimal downtime
  • Create and maintain technical documentation, collaborating across teams to drive innovation

    LI-LM1

Skills, Experience and Requirements

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