Senior Full Stack Software Engineer

Wheeler Machinery Co•Salt Lake City, UT

About The Position

The Senior Full Stack Software Engineer is the most senior individual contributor responsible for architecting, designing, and building web, mobile, and internal applications at Campbell Companies. This role owns technical direction across the application portfolio, sets and enforces engineering standards, drives step-change productivity gains through the effective use of AI, mentors engineers at all levels, and leads legacy system modernization initiatives from business case through delivery. The Senior Full Stack Software Engineer works closely with the Manager, Engineering & AI Solutions and the AI & Automation Engineer to deliver high-quality, scalable software solutions.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field; equivalent experience considered.
Minimum of 7 years of full-stack software engineering experience in production environments, including at least 2 years in a senior or technical lead capacity.
Demonstrated experience owning end-to-end architecture for multiple production applications, and mentoring both junior and mid-level engineers.
Demonstrated track record of using AI tools to multiply engineering output — candidates should be able to point to work where AI-assisted development delivered order-of-magnitude (up to 20x) gains in throughput or cycle time, and explain how those gains were measured.
JavaScript/TypeScript, React, Angular, or Vue; HTML5, CSS3.
C#/.NET Core, Node.js, or Python.
SQL Server, Azure SQL, or equivalent; understanding of ORMs and query optimization.
Azure application services: App Service, Azure Functions, Container Apps, API Management.
Git; CI/CD: Azure DevOps or GitHub Actions.
Experience with REST API design, OAuth/OIDC authentication patterns.
Containerization and infrastructure as code: Docker, plus Bicep or Terraform.
Event-driven and integration patterns: Azure Service Bus, Event Grid, or equivalent messaging platforms.
Application security and performance engineering: threat modeling, profiling, and cost-aware cloud design.

Nice To Haves

Master's degree in a related field preferred.
Microsoft Certified: Azure Developer Associate (AZ-204).
Microsoft Certified: Azure Solutions Architect Expert (AZ-305).

Responsibilities

Lead architecture and development of web, mobile, and internal applications; own coding standards, tech stack decisions, and definition of done.
Design and govern the API landscape: REST service design, authentication standards, versioning, and documentation.
Set the multi-year technical roadmap for the application portfolio; lead build-versus-buy evaluations and present recommendations to Digital & IT leadership.
Embed security and performance requirements into design: threat modeling, secure coding practices, and load and scalability testing.
Implement and enforce UI/UX standards; ensure consistent, accessible user experiences across all applications.
Partner with AI & Automation Engineer to introduce AI-assisted development practices (GitHub Copilot, AI code review).
Set the standard for AI-leveraged engineering: redesign development workflows around AI tooling, measure the resulting productivity gains, and coach the team toward the same level of output.
Assess technical debt in legacy systems; define incremental refactoring and migration paths.
Lead legacy system modernization sprints, ensuring backward compatibility and stakeholder communication.
Own the modernization business case: sequencing, effort and cost estimates, and risk trade-offs presented to business stakeholders.
Define and track automated testing coverage; champion test-driven development.
Conduct thorough code reviews; provide constructive, growth-oriented feedback to team members.
Own monitoring and observability for application workloads using Azure Monitor and Application Insights.
Mentor Software Engineers through pairing sessions, code reviews, and technical knowledge sharing.
Serve as the technical escalation point for complex production issues; lead root-cause analysis and blameless postmortems.
Partner with the Manager, Engineering & AI Solutions on technical interviews, hiring decisions, and engineer development plans.
Participate actively in agile ceremonies: sprint planning, standups, retrospectives, and backlog grooming.
Document code, APIs, and feature behavior to maintain a healthy engineering knowledge base.
Performs all other duties as assigned.