Staff Software Engineer – Developer Experience

🔥 18 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $158k - $248k / year

⏰ Full Time

🔴 Lead

🤝 Developer Relations (DevRel)

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Addepar

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💸 Finance

💳 Fintech

☁️ SaaS

💰 $130M Corporate Round on 2021-11

Finance • Fintech • SaaS

Addepar is a comprehensive technology and data platform designed to streamline wealth management for investment professionals globally. It empowers firms with sophisticated tools to manage complex investment portfolios, offering features like data aggregation, portfolio trading, portfolio modeling, and fee tracking. With over $6 trillion in assets managed, Addepar serves a variety of financial services including wealth managers, family offices, private banks, and broker-dealers. It supports more than 45 markets worldwide and provides customizable reporting and integration solutions, facilitating better decision-making and client satisfaction.

📋 Description

• 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

• 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

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

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