AI-First Software Architect — End-to-End Integrations

Green Irony

Raleigh (NC)

Hybrid

USD 130,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary + bonus
Medical, dental, and vision coverage
401(k) with generous company match
Flexible PTO
Annual professional development budget
Equipment stipend

Job summary

Green Irony, a Raleigh-based AI-native delivery company, seeks a senior engineer to own solutions end to end—from discovery to delivery—building integrations across MuleSoft, Salesforce, and modern AI tooling.

You’ll collaborate with AI agents daily, translate client problems into clear technical designs, review and harden outputs, and drive architectural decisions in a hybrid, US-based team.

Qualifications

  • Strong software engineering foundation with focus on performance and reusability.
  • Hands-on integration experience across API-led, event-driven, composable systems.
  • Active AI practice: using AI/agents in engineering to generate, refactor, and debug code.
  • Security depth across three layers: secure coding, infrastructure security, and AI data-security judgment.
  • Hands-on cloud experience with AWS or Azure; containers and orchestration.

Responsibilities

  • Own solutions end to end: discovery, architecture, build, and delivery.
  • Design and build integrations across MuleSoft, Salesforce, and AI tooling.
  • Work with AI agents daily—directing, reviewing, debugging, hardening AI-generated code.
  • Translate client problems into clear technical solutions.
  • Lead architecture decisions and raise team practices as tools evolve.

Skills

Software engineering
API integration
AI tooling
Security best practices
Cloud experience
Client-facing discovery

Tools

MuleSoft
Salesforce
Docker
Terraform
Kubernetes
AWS
Azure

Job description

Green Irony, a Raleigh-based AI-native delivery company, seeks a senior engineer to own solutions end to end—from discovery to delivery—building integrations across MuleSoft, Salesforce, and modern AI tooling.

You’ll collaborate with AI agents daily, translate client problems into clear technical designs, review and harden outputs, and drive architectural decisions in a hybrid, US-based team.

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