Lead Architect & Senior Full-Stack Dev – AI-Augmented System

Daimler Truck North America LLC

Portland (ME)

Hybrid

USD 117,000 - 150,000

Full time

5 days ago
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Benefits offered by this job

annual bonus program
401k company contribution with company
vacation time (4 weeks)
13+ calendar holidays
8 weeks paid parental leave
employee assistance program
healthcare plans
on-site fitness
tuition assistance
volunteer paid time off
disability plans

Job summary

Daimler Truck North America LLC is seeking a Lead Architect / Senior Full Stack Developer to own CHEC's architecture, oversee frontend React and .NET backend, and govern cloud infra on Azure. You will steer AI-augmented development, define engineering standards, and lead Automation QA within a safety-critical configuration tool.

You will mentor engineers, ensure auditability, and collaborate with UX, Product, and Engineering teams to drive roadmap delivery in a hybrid work environment.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
  • 810+ years software engineering experience.
  • Proven technical leadership / architect experience.
  • Strong full-stack expertise (React/TypeScript frontend, .NET/C# backend) and hands-on QA automation leadership.
  • Experience with system design and architectural patterns (microservices, event-driven, domain-driven design).
  • Database and data layer expertise (SQL Server, Cosmos DB, Entity Framework).
  • Security architecture knowledge (OWASP, authentication/authorization patterns).
  • API design standards (REST, versioning, contract-first design).
  • Experience with Microsoft Azure cloud services, GitHub, and CI/CD pipelines.
  • Demonstrated experience defining and leading AI-augmented development practices across a team.
  • Proficiency with AI coding assistants (Claude Code, GitHub Copilot, or Cursor) and prompt engineering for code generation, testing, and documentation.
  • Ability to evaluate AI-generated outputs critically, particularly in safety-relevant and high-auditability contexts.

Responsibilities

  • Own and govern CHEC's end-to-end technical architecture (React frontend, .NET APIs, backend services, data layers).
  • Serve as technical authority across full-stack development and cloud infrastructure.
  • Define and enforce engineering standards, patterns, and best practices, including responsible AI development guidelines.
  • Lead the Automation QA effort, including test strategy, tooling, and CI/CD quality gates.
  • Architect and review Azure-hosted services with focus on security, observability, and scalability.
  • Partner with UX, Product Owners, and Application Engineering on roadmap execution.
  • Mentor senior and junior developers; provide technical reviews and AI tooling guidance.
  • Ensure traceability, auditability, and validation for configuration changes in a safety-relevant domain.
  • Define and lead the team's AI-augmented development strategy, including tooling selection and workflow integration.
  • Establish prompt engineering standards and best practices for AI-assisted code generation, testing, and architecture documentation.
  • Evaluate AI-generated code for quality, security, and compliance with safety-relevant domain requirements.
  • Continuously evaluate emerging AI tools and techniques for CHEC applicability.

Skills

Full stack architecture
React/TypeScript
.NET/C#
Azure
QA automation leadership
AI coding assistants
Technical leadership
Security and auditability

Education

Bachelor's or Master's in CS/SE

Tools

Azure
GitHub
CI/CD
Terraform/Bicep/ARM
SQL Server/Cosmos DB

Job description

Daimler Truck North America LLC is seeking a Lead Architect / Senior Full Stack Developer to own CHEC's architecture, oversee frontend React and .NET backend, and govern cloud infra on Azure. You will steer AI-augmented development, define engineering standards, and lead Automation QA within a safety-critical configuration tool.

You will mentor engineers, ensure auditability, and collaborate with UX, Product, and Engineering teams to drive roadmap delivery in a hybrid work environment.

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