Software Developer III

Quick Facts

• Role: Software Developer III

• Focus: Senior full-stack engineering with AI-first development practices

Description

As a Software Developer III, you will design, develop, test, deploy, and maintain scalable full-stack applications for business-critical systems. You will own complex features, services, and integrations end-to-end, partnering with product, quality, architecture, database, security, and other engineering teams. The role is AI-first: you will use approved AI-assisted tools to accelerate delivery while validating accuracy, security, quality, and maintainability.

Responsibilities

• Build and maintain scalable full-stack applications (front-end and back-end)

• Take end-to-end ownership of complex features, services, integrations, and critical system components

• Translate business requirements into technical designs, delivery plans, and work items

• Participate in or lead solution design and architecture discussions aligned with security and operational standards

• Use approved AI development tools for discovery, design, coding, testing, documentation, troubleshooting, and operations

• Write precise prompts/specifications/constraints/acceptance criteria for AI-assisted delivery

• Critically review and validate AI-generated code for correctness, security, performance, maintainability, and architectural alignment

• Apply human review and approval for AI-assisted changes

• Create and share reusable prompts, workflows, and accelerators

• Conduct code reviews and ensure clean code, automated testing, and secure development practices

• Collaborate across Product, Quality Engineering, Architecture, Scrum, and business stakeholders

• Mentor less-experienced engineers in responsible AI tool usage

• Support production applications via troubleshooting, root cause analysis, and continuous improvement

• Improve reliability, performance, security, availability, observability, and maintainability

• Communicate technical tradeoffs and risks clearly to technical and nontechnical audiences

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Information Technology, or related field, or equivalent relevant professional experience

• Typically 5+ years of professional software development with meaningful ownership of production applications/services

• Strong hands-on experience with C#, .NET, APIs, RESTful services, JSON, and SQL

• Experience developing modern full-stack applications with Angular or React

• Experience designing, building, testing, deploying, and supporting production software

• Experience working in Agile or product-oriented delivery teams

• Strong understanding of source control (Git), pull-request workflows, CI, automated builds, and deployment pipelines

• Demonstrated experience designing or contributing to business-critical systems/complex components

• Demonstrated ability to independently diagnose complex technical problems and recommend solutions

• Experience mentoring other engineers and strengthening team engineering practices

• AI-assisted software development skills: use generative AI/AI coding assistants and validate AI output

• Ability to write clear prompts/specifications/constraints/acceptance criteria and validate results

• Understanding of AI limitations (inaccuracy, insecure patterns, incomplete context, unnecessary complexity, inconsistent results)

• Ability to protect confidential/proprietary/customer/company information when using AI tools

• Experience incorporating human review, automated testing, security scanning, and evidence into AI-assisted delivery

Preferred Qualifications

• Experience with Microsoft Azure or another major cloud platform

• Experience with distributed systems, asynchronous processing, event-driven architectures, or enterprise integration

• Experience with automated unit/integration/API/UI/performance testing

• Experience with observability (logging, metrics, tracing, monitoring, alerting)

• Experience with secure development, vulnerability remediation, and automated security scanning

• Experience with LLM APIs, retrieval-augmented generation, AI agents, or model-based workflows

• Experience with AI governance, responsible AI practices, and operational monitoring for AI-enabled solutions

• Experience in transportation/logistics, CRM, pricing, finance, warehouse-management, or other enterprise business systems