Software Architect
Posted 15 Jul 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Remote
No salary listed for this role.
At Green Irony, we exist to turn AI into Actual Intelligence — accelerating outcomes and proving that complexity is optional.
We don't just build AI-native systems for our clients; we run our own company on them. Quoting, hiring, delivery, account management — the same stack we implement for customers is the stack we operate on every day. It lets a small team deliver like one 10x its size: enterprise-grade integrations shipped in weeks, not months, by senior US-based engineers working alongside AI.
We hire people who automate first, bias hard toward action, and treat ownership as a default setting. If you'd rather govern yourself than be governed by layers of managers, welcome home.
What you'll do
You'll own technical solutions end to end — from discovery through architecture, build, and delivery — working across our full delivery stack and directing AI and agents as a core part of how you work. This is a back-to-front engineering role spanning integration, data, services, and infrastructure, on a team that ships fast and holds a high bar for quality.
- You'll be currently located in the Raleigh/Triangle/Durham surrounding area
- Own solutions end to end: discovery, architecture, build, and delivery.
- Design and build integrations and connected systems across MuleSoft, Salesforce, and modern AI and agentic tooling.
- Work alongside AI agents daily — directing, reviewing, debugging, and hardening AI-generated code.
- Translate ambiguous client problems into clear technical solutions, face-to-face with the client.
- Own technical direction on your engagements and help raise the team's practices as tools and methods evolve.
What you'll bring (core requirements)
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Strong software engineering foundation — you know what good looks like: performance, reusability, and sound engineering practice.
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Hands-on integration experience, used recently and regularly — API-led, event-driven, composable integration across enterprise systems (platform-agnostic).
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A real, hands-on AI practice — you use AI and agents in your engineering work to generate, refactor, and debug code, and you can review and harden what they produce. If you're not yet working this way full-time, you're a fast, deliberate adopter who clearly sees where engineering is going.
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Security depth across three layers:
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Secure coding fundamentals — OWASP Top 10, input validation, authentication and authorization (OAuth2/OIDC, JWT, session handling), and dependency/vulnerability management.