Job Title: .NET Developer with Automation & AI Platforms
Location: Remote (EST)
Duration: 6%2B months Contract
Job Description:
We are seeking a Senior Development Engineer - Automation & AI Platforms to design and build enterprise automation systems that enable fully repeatable, policy-driven workstation configuration and validation at scale.
This role sits at the intersection of automation engineering, DevOps platform engineering, AI-enabled development, and enterprise configuration management.
You will lead the development of two strategic engineering platforms that support workstation environments used across regulated MedTech and Life Sciences operations.
These platforms will enable deterministic workstation deployment, configuration validation, and automated compliance verification, reduce operational overhead while ensure alignment with enterprise quality and regulatory standards.
This role is ideal for a systems-oriented engineer who enjoys building developer platforms, designing automation frameworks, and solving complex configuration management problems at enterprise scale.
Key Responsibilities
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%2B years of professional software engineering experience
5%2B 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