Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Addepar

Staff Software Engineer – Developer Experience

Addepar

. Drive the architecture of next-generation validation guardrails and an AI-native developer experience .

Posted 11/3/2026full-timeRemote • New York • United StatesLead💰 $158,000 - $248,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting AI-native development workflows and integrating AI into the software development lifecycle (SDLC). Proficient in CI/CD orchestration, programming, and mentoring engineering teams to enhance operational efficiency and reliability.

Highest-signal resume keywords
AI Integration Into SDLCCI/CD OrchestrationProgramming Skills In Python, Java, Or JavaScriptInfrastructure-As-Code Using TerraformContainerization Using Docker And Kubernetes

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI IntegrationCI/CD OrchestrationProgramming In PythonProgramming In JavaProgramming In JavaScriptInfrastructure-As-CodeTerraformDockerKubernetesData Analysis
Soft Skills
Problem SolvingMentoringAdaptability
Tools & Technologies
GitHub ActionsJenkinsLarge Language ModelsBackstage
Industry Keywords
DORA MetricsService Integration TestingContract Testing

Tech Stack

Tools & technologies
DockerJavaJavaScriptJenkinsKubernetesPythonSDLCTerraform

About the role

Key responsibilities & impact
  • Drive the architecture of next-generation validation guardrails and an AI-native developer experience
  • Architect engineering workflows across Planning, Design, Build, Test, Deploy, and Maintain into automated closed-loop systems
  • Lead the design of intelligent frameworks, AI SDLC playbooks, and deterministic guardrails
  • Drive bottom-up adoption of AI-native development workflows by coaching engineers on orchestration of parallel agentic sessions and subagents
  • Partner with platform engineers, R&D teams, and security to replace manual handoffs and sign-off cycles with automated artifact triggers and governance boundaries
  • Operationalize markdown-driven artifact pipelines with transparent audit trails from idea to production
  • Architect deterministic build-time and deployment hooks as safety boundaries for AI development
  • Integrate AI into pull-request review using structured policies and CI runners for multi-pass reviews and autonomous comment-thread resolution
  • Design verification harnesses and visual feedback loops for AI-agent self-testing and correctness verification
  • Build continuous evaluation suites in CI to regression-test AI steering configurations against real engineering tasks
  • Implement production monitoring scripts to detect control breaches and create triage queues for closed-loop improvement
  • Mentor developers and lead grassroots technical initiatives across engineering teams

Requirements

What you’ll need
  • Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship
  • Must be authorized to begin work in the U.S. on the first day of employment
  • Deep conceptual and hands-on understanding of integrating AI into the development lifecycle across the entire SDLC
  • Demonstrated success moving DORA metrics and framework reliability using explicit data analysis
  • Ability to thrive in highly ambiguous environments and proactively identify and solve friction
  • Strong programming skills in Python, Java, or JavaScript
  • Deep hands-on experience with advanced CI/CD orchestration such as GitHub Actions and Jenkins
  • Experience with infrastructure-as-code using Terraform
  • Experience with containerization using Docker and Kubernetes
  • [Preferred] Experience managing complex software states and mimicking/isolating environments utilizing tools at enterprise scale
  • [Preferred] Past experience building custom internal wrapper applications or developer plugins around Large Language Models (LLMs)
  • [Preferred] Proven success technically leading or closely pairing across split North American and Indian engineering hubs
  • [Preferred] Familiarity with service integration testing, contract testing tools, and developer catalog platforms such as Backstage

Benefits

Comp & perks
  • Bonus
  • Equity
  • Benefits
  • Reasonable accommodation for individuals with disabilities
  • Equal opportunity and inclusive workplace