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EchoStar

Senior Manager, Automation Platform Engineering

Posted 2 Hours Ago
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In-Office
Littleton, CO, USA
127K-182K Annually
Senior level
In-Office
Littleton, CO, USA
127K-182K Annually
Senior level
Leads the design and development of scalable automation platforms for nationwide network operations. Drives closed-loop AI automation, self-healing systems, Kafka-based event-driven microservices, and Kubernetes workloads integrating traditional and generative AI. Owns the platform roadmap, translates technical improvements into business value, and establishes rigorous engineering and security standards. Requires expertise in software architecture, 5G/Open RAN, cloud-native systems, network automation, and automation ROI.
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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 team is pioneering the future of connectivity. We're developing and enhancing a unique hybrid network model—combining our advanced, cloud-native 5G core with the nationwide reach of our partners. This approach ensures our network is flexible and powerful, designed to satisfy the social, economic, and transformative needs of the changing world.


Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

 

The current network operation landscape relies on manual, human-centric workflows that struggle to scale with nationwide demands. This role addresses these inefficiencies by architecting a proprietary software ecosystem that transitions the organization toward AI-augmented autonomous operations. By bridging the gap between deep telco-cloud technical debt and high-value business outcomes, this leader will drive the development of self-healing systems that significantly reduce MTTR and optimize OpEx.

What Success Looks Like (Objectives)
  • Lead the end-to-end design and development of scalable, proprietary automation software used to diagnose and resolve production issues at a nationwide scale

  • Drive the platform roadmap toward Closed-Loop AI Automation, prioritizing the evolution from basic scripts to intelligent, self-healing recovery workflows

  • Architect high-concurrency, event-driven systems using Kafka and Microservices to replace legacy manual processes with robust internal tools

  • Oversee the integration of Traditional and Generative AI models within distributed Kubernetes-based workloads to ensure reliable, proactive network mitigation

  • Translate technical milestones, such as Zero Touch Provisioning (ZTP), into clear financial impacts and accelerated time-to-market outcomes

  • Foster an environment of expert-level development, ensuring internal engineering initiatives meet the same rigor and security standards as customer-facing products


Skills, Experience and Requirements
Core Skills and Competencies (What you’ll bring)
  • Master-level proficiency in modern programming languages and software architecture for distributed systems

  • Critical experience managing 5G/Open RAN infrastructures within cloud-native Kubernetes environments

  • Advanced understanding of AI Architecture, specifically distinguishing between Traditional ML for anomaly detection and Generative AI for remediation

  • Proven ability to create a technical vision from scratch, evidenced by a history of industry-leading blueprints or complex systems design

  • Expertise in articulating the business value of technical debt reduction and quantifying the ROI of automation initiatives

  • Strategic AI Literacy and the ability to innovate workflows by applying autonomous logic to replace manual intervention

Minimum Requirements
  • Minimum Education: Bachelor’s Degree in Computer Science, Engineering, or a related technical field

  • Minimum Experience: 8+ years of experience in Software Engineering or Network Automation

  • Required Technical Skills: Must have at least 5 years of experience with:

    • Modern programming languages (Python, Go, or similar)

    • Cloud-native orchestration and Kubernetes-based workloads

    • 5G or Open RAN infrastructure integration

Visa sponsorship not available for this role


Salary Ranges
Compensation: $127,050.00/Year - $181,500.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

 

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

 

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

 

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.

EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

HQ

EchoStar Englewood, Colorado, USA Office

EchoStar Corporate Headquarters - Meridian Office

9601 S Meridian Boulevard, Englewood, CO, United States, 80112

EchoStar Centennial, Colorado, USA Office

Centennial, United States

EchoStar Denver, Colorado, USA Office

EchoStar Downtown Denver Office - DGC Office

1615 17th St., Denver, CO, United States, 80202

EchoStar Littleton, Colorado, USA Office

EchoStar Wireless Headquarters - Riverfront Office

5701 S Santa Fe Dr., Littleton, CO, United States, 80120

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