Manager, Automation Platform Engineering
US-CO-Littleton
Attract-careers1
Req #: 97661
Type: Fulltime-Regular
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Overview: 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. 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 Qualifications: 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
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