Software Developer, Software Engineer, Cloud Engineer - Software
Listed on 2026-05-16
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Software Development
Software Engineer, Cloud Engineer - Software, DevOps, Full Stack Developer
Since 2001, Procede Software has been a leading provider of enterprise‑level Dealer Management Solutions (DMS) for the heavy‑duty truck and ancillary markets. Serving dealer locations throughout the United States, Canada, and Australia, the industry’s leading dealerships trust Excede to run their business because of its full functionality across all dealership departments, high reliability, and strong integration with their OEM providers. Excede, its powerful DMS, leverages the strength of Microsoft® SQL technology to provide advanced Windows® and browser‑based applications with real‑time information.
WhyThis Role
Let’s be honest — this is not a maintenance gig. We have an immense, fascinating problem to solve: dismantling a battle‑tested on‑premises monolith and reimagining it as a modern, cloud‑native platform built for the future. If you're the kind of engineer who lights up when you hear "architecture whiteboard session," this is your playground.
We are committed to staying on the cutting edge of AI‑assisted development. Agentic AI isn't a bullet point on our roadmap — it's woven into how we work every day. Tokens flow like the Amazon River through our pipelines, and our tooling evolves as fast as the models do. You won't be waiting for permission to experiment; you'll be expected to push the boundaries of what's possible with AI‑augmented engineering.
If you thrive on solving hard problems at scale, want to be an architect and builder — not just a ticket‑closer — and get genuinely excited about shaping a forward‑thinking engineering culture, you'll find this role deeply rewarding. We're building something big, and we want people who want to build it with us.
PrimaryJob Responsibilities
- Architect cloud‑native solutions across managed services such as serverless compute, managed databases, API gateways, and web hosting, as well as event‑driven systems using message brokers and streaming platforms; own the topology, contracts, and failure modes
- Direct fleets of agentic coding assistants to deliver new applications, services, and front‑end experiences by defining the intent, establishing architectural guardrails, and ensuring quality in design, accessibility, and user experience
- Lead the decomposition of legacy monolithic applications into cloud‑hosted services; identify seams, define bounded contexts, sequence the migration, and oversee agent driven refactoring efforts end to end
- Engineer and continuously refine prompts, context, evaluation harnesses, and agentic workflows that support an AI‑augmented software development lifecycle
- Conduct code reviews with a focus on identifying architectural drift, security gaps, and subtle quality issues that may not be detected through automated review tools
- Own observability, reliability, and performance of cloud‑hosted services; diagnose production issues that require cross system reasoning, including those originating from AI generated code
- Set technical direction, mentor junior engineers on effectively leveraging AI‑assisted tooling, and communicate clearly across technical and non technical audiences, including explaining outputs generated by AI‑assisted tools and the rationale for human decisions
- Experience architecting cloud‑native solutions on managed platform services such as web application hosting, serverless functions, API management, and managed databases, as well as event driven architectures using messaging and streaming patterns
- Experience supporting or leading the migration of legacy on‑premises monolithic applications to cloud‑native distributed architectures, including identifying seams, sequencing migrations, and managing risk
- Understanding of API development, integration patterns, and secure service‑to‑service communication
- Strong code review skills, including the ability to identify architectural drift, security gaps, hallucinated or incorrect outputs, and subtle correctness issues that may not be detected by automated tools
- Understanding of modern programming languages and software design principles, with the ability to read, evaluate, and refine AI generated code
- Experience with containerized deployments,…
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