Staff AI-Native DevEx & SDLC Architect

Addepar1

United States

Remote

USD 158,000 - 248,000

Full time

6 days ago
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Job summary

Addepar is seeking a Staff Software Engineer to drive the architecture of our next-generation validation guardrails and spearhead the AI-native developer experience. You will architect engineering workflows across all SDLC stages—from Planning to Maintain—into automated, closed-loop systems where AI agents and markdown artifacts accelerate delivery while humans remain in control.

You will mentor engineers, promote best practices, and lead the design of intelligent frameworks and deterministic

Qualifications

  • Architectural mastery across AI-enabled development lifecycles.
  • Data-driven approach with emphasis on reliability and DORA metrics.
  • High autonomy and proactivity in ambiguous environments.
  • Mature engineering skills in Python/Java/JavaScript with production-grade tooling.
  • Deep CI/CD orchestration, IaC (Terraform), and containerization (Docker, Kubernetes).

Responsibilities

  • Provide technical leadership and evangelism for AI-native development workflows.
  • Collaborate with platform engineers, R&D, and security to remove handoffs and automate sign-offs.
  • Design artifact-driven AI lifecycle workflows and deterministic guardrails.
  • Implement automated code review and PR pipelines with AI integration.
  • Create deterministic verification harnesses and closed-loop feedback for quality.
  • Develop continuous evaluation suites for AI steering configurations.

Skills

Python
Java
JavaScript
CI/CD
Terraform
Docker
Kubernetes

Tools

GitHub Actions
Jenkins
CI/CD Pipelines

Job description

Addepar is seeking a Staff Software Engineer to drive the architecture of our next-generation validation guardrails and spearhead the AI-native developer experience. You will architect engineering workflows across all SDLC stages—from Planning to Maintain—into automated, closed-loop systems where AI agents and markdown artifacts accelerate delivery while humans remain in control.

You will mentor engineers, promote best practices, and lead the design of intelligent frameworks and deterministic

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