Development Engineer – Automation

TechDigital Group; Raritan (NJ); On-site; USD 120,000 - 150,000; Full time

Job summary

A technology firm in Raritan, New Jersey is looking for a Senior Development Engineer to design and build automation platforms for scalable workstation provisioning. The role requires extensive experience in software engineering, particularly in automation and AI integration. Candidates should possess advanced skills in PowerShell and C#/.NET, along with a strong background in DevOps practices. This position offers an opportunity to develop enterprise frameworks and ensure compliance through automated workflows.

Qualifications

• 10+ years of software engineering experience.
• 5+ years designing automation platforms or systems.
• Experience with Git-based workflows and CI/CD.
• Hands-on AI development experience.

Responsibilities

• Design and build automation platforms for workstation provisioning.
• Architect enterprise automation frameworks.
• Implement workflows for compliance validation and configuration quality.
• Generate reports for regulatory compliance.

Skills

PowerShell automation and scripting

C# / .NET development

DevOps engineering

AI integration

Prompt engineering

Tools

Git

Azure AI Foundry

Anthropic Claude models

Microsoft Copilot models

Kubernetes

Job description

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.