EchoStar - icims TEST Logo

EchoStar - icims TEST

Senior Manager, Automation Platform Engineering

Posted Yesterday
Be an Early Applicant
In-Office
Littleton, CO
127K-182K Annually
Senior level
In-Office
Littleton, CO
127K-182K Annually
Senior level
Leads the design and development of nationwide automation software for diagnosing and resolving network issues. Owns the platform roadmap toward closed-loop AI automation and self-healing workflows, architects Kafka- and microservices-based systems, integrates AI models into Kubernetes workloads, and translates technical improvements into business value. Requires leadership of software engineering or network automation initiatives, deep 5G/Open RAN expertise, and strong distributed-systems architecture skills.
The summary above was generated by AI
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)

Similar Jobs at EchoStar - icims TEST

Yesterday
In-Office
96K-138K Annually
Senior level
96K-138K Annually
Senior level
3PL: Third Party Logistics
Leads strategic sourcing and commercial negotiations for IT and professional services. Develops sourcing plans, runs competitive RFx events, analyzes rate cards and price variances, consolidates vendor footprints, and negotiates multi-year agreements. Supervises AI workflow agents and validates automated contract metadata in procurement and contract lifecycle systems. Partners with Legal and Finance to mitigate liabilities, control costs, and enforce payment and pricing terms.
Top Skills: Ai Workflow AutomationContractpodaiLeah ClmServicenowSimplifyvms
Yesterday
In-Office
83K-119K Annually
Mid level
83K-119K Annually
Mid level
3PL: Third Party Logistics
Develops and supports full-stack financial applications and APIs using .NET, C#, ASP.NET, SQL Server, and SSIS. Builds database schemas, stored procedures, and data integration pipelines; implements AI, workflow automation, and cloud-based solutions using Databricks, LLM APIs, and related tools. Collaborates with CFO business units to translate financial processes into technical solutions while contributing to testing, source control, and GitLab CI/CD deployment practices.
Top Skills: .NetAsp.NetAWSAzureC#Ci/CdCopilotDatabricksGCPGenaiGitlabKiroLlm ApisMicrosoft Sql Server 2022Oracle Ebs R12SsisT-Sql
4 Days Ago
In-Office
72K-103K Annually
Mid level
72K-103K Annually
Mid level
3PL: Third Party Logistics
Lead lifecycle communications for Boost Mobile across email, SMS, and push: design automated, data-driven journeys, build campaigns in enterprise CRM, segment audiences, integrate AI personalization, and analyze performance to improve retention and engagement.
Top Skills: Adobe Journey OptimizerAi-Driven PersonalizationBrazeCSSHTMLLiquidMachine LearningPredictive ModelingSalesforce Marketing Cloud

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account