Manager, Automation Platform Engineering

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.

• 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

• 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 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

Compensation: $96,250.00/Year - $/Year

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:
Echo Star 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…