Required Education (Precise) ? Bachelor?s degree in Computer Science, Software Engineering, or related field (minimum) o Master?s + 3 years o Bachelor?s + 5+ years o Associate?s + 9 years ? Internships not accepted as experience Preferred Education ? Master?s degree in Computer Science or Software Engineering (preferred) Preferred Certification ? TOGAF certification (nice-to-have) Required Skills ? Cursor, Claude Code, or GitHub Copilot (or similar AI coding tools) ? Java/Spring Boot ? Python ? Distributed systems ? APIs and integration services ? Cloud-native platforms ? Software architecture and engineering best practices ? Prompt engineering ? Agentic development workflows ? Engineering metrics and productivity measurement ? Infrastructure and cloud ? Docker, containers, Kubernetes ? IT security, server/storage ? Security standards ? DevOps Technical ? Desired ? Specification-driven development ? Robotics, Physical AI, Simulation, or Digital Twin ? AWS or Azure ? Developer experience platforms
Requirements
Disqualifiers (Red Flags) ? No hands-on backend development ? Limited API, integration, or distributed systems experience ? Front-end only experience ? No Agile/Scrum experience ? Cannot contribute to cloud-native service development or troubleshooting Key Responsibilities ? Identify cloud capabilities and benchmark industry adaptation ? Assess Kubernetes fit ? Review ICS/ACT technologies (Remote Services, Minestar) ? Challenge solutions and drive alternative architecture options ? Partner with GIS, Security, and other teams on solution design ? Evaluate and benchmark AI coding platforms ? Define AI best practices, standards, governance, and adoption frameworks ? Identify and execute AI pilot initiatives (Atlas, Physical AI, enterprise) ? Design agentic, spec-driven, and autonomous development workflows ? Measure developer productivity, quality, SDLC efficiency, and outcomes ? Create reference architectures, implementation patterns, and guidance for AI-native development ? Integrate AI into development lifecycle with architects, managers, product, and platform teams ? Assess security, compliance, and governance for AI coding tools ? Mentor teams on AI tools and modern engineering practices ? Drive velocity, quality, technical debt reduction, and developer experience improvements ? Collaborate with vendors, partners, and stakeholders on emerging capabilities and best practices ? Contribute to engineering strategy, roadmap, technology selection, and long-term AI transformation ? Individual contributor ? Collaborate with: Engineering Directors, Managers, Principal Engineers, Architects, Technical Leads ? Work across: Atlas, Physical AI, Autonomy Services, enterprise engineering ? Partner with: Product Owners, Product Managers, business stakeholders ? Partner with: DevOps, Platform Engineering, Cybersecurity, Enterprise Architecture ? Engage with vendors and AI platform providers ? Lead workshops, architecture discussions, PoCs, enablement activities ? Mentor engineers and technical leads ? Present recommendations, findings, pilot results, roadmaps to senior leadership
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