Software Architect

Role Description

At Green Irony, we exist to turn AI into Actual Intelligence—accelerating outcomes and proving that complexity is optional. We hire people who automate first, ask permission never, and treat ownership as a default setting. If you’d rather govern yourself than be governed by layers of project managers, welcome home.

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.

What you'll do

• 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.

Qualifications

• Strong software engineering foundation — you know what good looks like: performance, reusability, and sound engineering practice.
• Hands-on integration experience, used recently and regularly — API-led, event-driven, composable integration across enterprise systems (platform-agnostic).
• 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.
• Security depth across three layers:
• Secure coding fundamentals — OWASP Top 10, input validation, authentication and authorization (OAuth2/OIDC, JWT, session handling), and dependency/vulnerability management.
• Infrastructure security — secrets management, network segmentation, encryption in transit and at rest, and least-privilege IAM.
• AI and agent data-security judgment — knowing what is and isn't safe to expose to AI tools, and how credentials are handled when agents touch client systems.
• Hands-on cloud experience with AWS or Azure — compute/serverless, storage, IAM, and infrastructure-as-code (Terraform, CloudFormation, or Bicep).
• Architect-level scope — you own architecture and stack decisions end to end, lead discovery, and operationalize new tools and practices for the team, while still building hands-on.
• Client-facing discovery and solutioning — you work directly with clients, translating ambiguous business problems into clear technical solutions.

Requirements

• Proactive communicator who drives to commitments — you raise blockers early, you're honest when something is behind, and you aggressively drive your work to the commitments you've made.
• Owns delivery and the pace of play — you're self-directed, manage your own workload, and set the tempo rather than waiting to be pushed.
• Adaptable — comfortable evolving your tools and methods as the way we deliver changes.
• Curious — you ask questions, find the gaps, and fill them.

Nice to have

• MuleSoft experience — Anypoint, DataWeave, CloudHub or Runtime Fabric.
• Salesforce experience across the major clouds (Sales, Service, Experience, CPQ/Revenue, Financial Services Cloud).
• Prior experience in an AI-native or AI-accelerated delivery environment.

Location

Raleigh / Research Triangle area strongly preferred. Exceptional US-based candidates elsewhere considered.

Benefits

• Competitive salary + performance bonus
• Medical, dental, and vision coverage
• 401(k) with generous company match
• Flexible PTO and remote-first work environment
• Annual professional development budget (certifications, conferences, AI tools)
• Equipment stipend

Equal Opportunity, Zero BS

Green Irony is an equal opportunity employer committed to building an inclusive team where diverse voices drive better outcomes. We evaluate all qualified applicants without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, veteran status, disability, or any other protected classification—because the only bias we tolerate is toward delivering excellent work.