Job Description
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
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