Development Engineer – Automation

Senior Development Engineer – Automation & AI Platforms
Automation Platform Development (Lite-Touch)
Design and build a Lite-Touch Automation Platform that enables scalable workstation provisioning and configuration management.
Responsibilities include:

• Architect and develop an enterprise automation framework enabling deterministic workstation configuration deployment
• Implement modular automation workflows supporting policy-driven configuration management
• Ensure 100% repeatable configuration outcomes
• Enable input-driven configuration provisioning using structured configuration inputs
• Integrate automation capabilities with enterprise request and service management platforms
• Implement logging, traceability, and auditability across automation workflows
• Manage configuration artifacts using version-controlled configuration management practices
• Eliminate configuration drift and manual build inconsistencies through automated enforcement

Configuration Quality Verification Platform
Design and develop a Configuration Quality Verification Platform that validates workstation configurations against requested standards and enterprise quality policies.
Responsibilities include:

• Build automated verification workflows validating workstation configuration states
• Implement compliance validation aligned with enterprise quality standards
• Detect configuration drift and unauthorized configuration changes
• Verify alignment between requested and deployed configurations
• Generate automated reports and audit artifacts for regulatory compliance
• Enable engineering teams to perform automated quality assurance for workstation environments

Required Qualifications
Professional Experience

• 10+ years of professional software engineering experience
• 5+ years designing automation platforms or infrastructure automation systems
• Proven experience building enterprise automation frameworks or internal developer tools
• Strong DevOps engineering background

Programming

• Advanced PowerShell automation and scripting frameworks
• C# / .NET application and platform development

Source Control & Engineering Practices

• Git-based development workflows
• Branching strategies and pull request processes
• Code review and engineering quality practices
• Modern DevOps development methodologies

Artificial Intelligence Engineering Experience
Hands-on experience integrating AI capabilities into development workflows working with:

• Semantic Kernel
• Azure AI Foundry
• Comparable enterprise AI orchestration frameworks

Experience working with modern LLM ecosystems such as:

• Anthropic Claude models
• Gemini models
• Microsoft Copilot models

AI Development Practices:

• Prompt engineering
• AI-assisted development workflows
• Codex-driven development
• AI agent orchestration

Preferred Qualifications

• Distributed systems design
• Automation platform architecture
• Modular framework development
• Event-driven systems
• CI/CD pipeline development
• Infrastructure-as-Code practices
• REST API development
• Identity and authentication frameworks
• Microsoft Azure and Kubernetes environments
• Containerized workloads
• Observability, monitoring, and telemetry systems
• Secure development lifecycle practices
• Secrets management and role-based access control
• Experience in regulated industries such as MedTech, pharmaceuticals, or manufacturing.