AI Software Engineer (Only Locals)

AI Software Engineer

Long Term Contract

Need (Local candidate only)

Minimum required years of experience: 8+ years of professional software engineering experience

• Must have skills:
  • Software Engineering
  • Github administration
  • Excellent communication
• Software/Technical Requirements:
  • Polyglot desired, Python required
  • AWS
  • AI Tooling (Cursor, Claude, MCP, etc)
• Nice to have:
  • Golang
  • Kubernetes
  • Backstage development
• Previous retail client Experience is highly preferred but not required. 

Key Responsibilities

Technical Leadership & Platform Stewardship

• Serve as a senior engineer and technical steward for the AI Dev Tooling & Enablement capability, providing administration and durable technical direction for GitHub, Cursor, and Claude.
• Establish and evolve technical standards, patterns, and best practices for AI developer tooling at enterprise scale.

AI Dev Tooling & Enablement Initiatives

• Drive multiple proof‑of‑concept and incubation efforts central to our AI development strategy, including:
• Background agents running on self‑hosted runners
• Claude Code evaluation and comparative analysis
• “Bring Your Own Model” (BYOM) enablement pathways
• Design and implement SCIM‑based integrations (e.g., for Cursor) to support automated team management, access control, and accurate cost allocation and chargeback.
• Translate experimental AI capabilities into secure, supportable, production‑ready platforms.

GitHub & AI Tooling Platform Ownership

• Own and execute key GitHub and Cursor initiatives, including GitHub Copilot and adjacent AI dev tooling (e.g., MCP servers and system integrations), in alignment with enterprise governance and platform standards.
• Provide end‑to‑end product support and operational ownership for developer tooling used by thousands of engineers.
• Partner directly with vendors such as GitHub, Anysphere and Anthropic to drive our requirements, roadmap alignment, and issue resolution.
• Evaluate new vendor features in Preview/Beta to determine enterprise applicability and value.
• Coordinate and support annual SOX and security compliance audits, and design automation for:
• License management and reclamation
• Policy enforcement and reporting
• Maintain and evolve a Selenium‑based automation suite required to bridge gaps where vendor APIs are insufficient.
• Serve as a key contributor to open‑source initiatives, configurations, and inner‑source tooling.
• Consult with internal teams on advanced topics such as authentication patterns using GitHub Apps.

Software Development & Engineering Contributions

• Design and implement Backstage plugins powering our developer portal, including:
• AI Tools portal
• GitHub insights and workflows
• An upcoming administrative control panel
• Contribute as a hands‑on engineer and technical reviewer to other NDX platform capabilities such as Managed CI/CD, Jeter, and QMA.
• Build dashboards and tooling to improve visibility into Cursor usage, cost trends, and optimization opportunities.
• Balance platform‑level architecture with direct code contributions in TypeScript, backend services, automation frameworks, and infrastructure tooling.

AI Dev Tools Governance & Risk Management

• Act as a core member of the AI Dev Tools Feature Review Committee, helping evaluate, approve, and operationalize AI tools for enterprise use.
• Help shape and operationalize the MCP Server approval lifecycle, from proposal through review and production readiness.
• Ensure all AI tooling aligns with our security, compliance, and responsible‑AI standards.

Cross‑Functional Collaboration & Influence

• Operate at the center of our development ecosystem, partnering closely with:
• Inner‑source contributors across other foundational Platform teams
• Security, Legal, CIS, and Platform Engineering
• Internal engineering customers across domains
• Provide enterprise‑level guidance on:
• Source control and GitHub best practices
• CI/CD patterns and platform usage
• SDLC improvements and developer experience optimization

Required

• 8+ years of professional software engineering experience, with demonstrated senior‑level technical leadershipthrough architecture, delivery, and cross‑team influence.
• Deep expertise in GitHub administration, governance, and automation at enterprise scale.
• Strong background in platform engineering and developer experience tooling.
• Hands‑on experience with AI‑assisted development tools and emerging AI platforms.
• Proven ability to design and maintain automation frameworks where vendor APIs are limited.
• Excellent cross‑functional communication skills, including the ability to translate technical and financial concepts for senior stakeholders.

Preferred

• Experience with Backstage, internal developer portals, and platform extensibility.
• Familiarity with SCIM, identity management, and enterprise access controls.
• Exposure to open‑source contribution models and inner‑source practices.
• Business or financial education (e.g., MBA) or equivalent experience supporting vendor and cost management.