Staff Software Engineer, AI-Native DevEx & SDLC Architect

Addepar, Inc.; United States; Remote; USD 158,000 - 248,000; Full time

Job summary

Addepar, Inc. is seeking a Staff Software Engineer to drive the architecture of our AI-native validation guardrails and accelerate developer experience across the organization.

You will architect engineering workflows across Planning, Design, Build, Test, Deploy, and Maintain, integrating AI agents and automated artifacts into a closed-loop process while ensuring high-quality human oversight. You will lead the design of intelligent frameworks, AI SDLC playbooks, and deterministic guardrails,

Qualifications

• Strong programming skills in Python, Java, or JavaScript.
• Experience with AI-native development workflows is a plus.
• Ability to design and implement scalable SDLC frameworks.
• Familiarity with CI/CD tooling and modern development practices.

Responsibilities

• Drive bottom-up adoption of AI-native development workflows across product teams.
• Partner with platform engineers, R&D, and security to automate handoffs and sign-offs.
• Architect artifact-driven, AI-native lifecycle workflows from idea to production.
• Design deterministic build-time and deployment hooks to ensure safety in AI development.
• Integrate AI into PR review loops using structured policies and CI runners.
• Create deterministic verification harnesses and feedback loops for self-testing.
• Build continuous evaluation suites to regression-test AI steering configurations.

Skills

Python

Java

JavaScript

Tools

GitHub Actions

Jenkins

Terraform

Docker

Kubernetes

Job description

Addepar, Inc. is seeking a Staff Software Engineer to drive the architecture of our AI-native validation guardrails and accelerate developer experience across the organization.

You will architect engineering workflows across Planning, Design, Build, Test, Deploy, and Maintain, integrating AI agents and automated artifacts into a closed-loop process while ensuring high-quality human oversight. You will lead the design of intelligent frameworks, AI SDLC playbooks, and deterministic guardrails,