Senior Manager, Automation Platform Engineering
Listed on 2026-10-10
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Software Development
Software Engineer, Cloud Engineer - Software, AI Engineer (Applied/Software), DevOps
Company Summary
Echo Star 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 SummaryOur 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 ResponsibilitiesCandidates 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.
WhatSuccess 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
- 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
Salary RangesCompensation: $/Year - $/Year
BenefitsWe offer versatile health perks, including flexible spending accounts, HSA, a 401(k)…
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