Senior Manager, Automation Platform Engineering
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Sep 18, 2026.
What Success Looks Like (Objectives):
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
Core Skills, Competencies, and Key Experiences (What you’ll bring)
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 Range
Compensation: $127,050.00/Year - $181,500.00/Year
About Our Department
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.
About Our Company
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.
Benefits
We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary 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.
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.
This job posting will be active for a minimum of 3 days and 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. If you have questions regarding your application or the recruitment process please email [email protected].
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English /Spanish)
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
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