Staff Software Engineer - Developer Experience

Addepar; New York (NY); Hybrid; USD 158,000 - 248,000; Full time

Job summary

Addepar, Inc. is seeking a Staff Software Engineer for Developer Experience in New York/Remote USA. You will architect AI-enabled software delivery, guide engineers, and build automation that accelerates development while preserving human oversight.

The role requires hands-on leadership in SDLC integration, progressive governance, and robust CI/CD practices across diverse teams. The position emphasizes autonomy, data-driven decision making, and collaboration with security, platform, and R&D

Qualifications

• Architectural mastery across the full development lifecycle and AI integration.
• Data-driven decision making with demonstrated impact on reliability and performance metrics.
• High autonomy and proactive problem solving in ambiguous environments.
• Deep hands-on CI/CD orchestration and infrastructure-as-code tooling.
• (Preferred) Experience building internal tools or plugins around LLMs.

Responsibilities

• Provide technical leadership to drive AI-native development workflows across product teams.
• Design and implement AI-enabled lifecycle architecture with deterministic guardrails and hooks.
• Lead automated code review and PR pipelines leveraging AI and CI runners.
• Create deterministic verification harnesses and closed-loop feedback mechanisms.
• Develop autonomous maintenance systems for production monitoring and triage.

Skills

Architectural mastery

Data-driven

Autonomy

CI/CD

LLM integration (preferred)

Tools

GitHub Actions

Jenkins

Terraform

Docker

Kubernetes

Job description

Staff Software Engineer - Developer Experience

New York, NY; Remote, USA

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.

The Role

We are seeking a highly proactive Staff Software Engineer to drive the architecture of our next-generation validation guardrails and spearhead our AI-native developer experience across the organization. This role focuses on architecting engineering workflows across all traditional SDLC stages - Planning, Design, Build, Test, Deploy, and Maintain - into automated, closed-loop system where AI agents and committed markdown artifacts are able to accelerate delivery while keeping human engineers and product managers firmly in control of high-judgement decisions.

As a technical thought leader, you will help lead the design of intelligent frameworks, AI SDLC playbooks, and deterministic guardrails required to modernize our SDLC. Operating with a high degree of autonomy, you will lead grassroots efforts across engineering teams, navigate technical ambiguitity to advocate for best practices, mentor devleopers and engineer the friction-free internal platform for the future.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What you’ll do

Technical Leadership & Grassroots Evangelism

• Adoption & Mentorship: Drive bottom-up adoption of AI-native development workflows across product teams by coaching engineers to transition into orchestration of parallel agentic sessions and subagents.
• Cross-Team Alignment: Partner with platform engineers, R&D teams, and security to dismantle traditional handoffs and convert manual sign-off cycles into automated artifact triggers with clear governance boundaries.

AI-Native Lifecycle Architecture

• Artifact-driven workflows: Operationalize markdown-driven artifact piplines to create transparent audit trails from idea to production.
• Deterministic Guardrails & Hooks: Architect deterministic build-time and deployment hooks to serve as safety boundaries behind AI development.
• Automated Code Review & PR pipelines: Integrate AI into PR review loop using structured policies and CI runners to enable agents to conduct multi-pass reviews and autonomously resolve comment threads.

Continuous Evals, Testing & Closed-Loop Operations

• Feedback loops & verifications: Design deterministic verification harnesses and visual feedback loops that allow AI agents to self-test, iterate on defect discoveries, and verify correctness before going for human review.
• Continuous Eval Infrastructure: Build continuous evaluation suites in CI to regression-test AI streering configs against sets of real engineerings tasks for whenever prompt or models change.
• Autonomous closed-loop maintenance: Implement automated production monitoring scripts to detect control breaches (failure spikes, latency drift) and design triage queues that feed back in for improvements to close the SDLC loop.

Who You Are

• Architectural Mastery: Deep conceptual and hands-on understanding of integrating AI into the development lifecycle across the entire SDLC.
• Data-Driven Core: A mindset that completely rejects gut feelings as the driving factor. You have demonstrated success moving the needle on DORA metrics and framework reliability using explicit data analysis.
• High Autonomy & Proactivity: Thrives in highly ambiguous environments. You don't wait for a ticket to be assigned; you actively detect friction, build the business case, and engineer the solution.
• Modern CI/CD Expertise: Deep hands-on experience with advanced CI/CD orchestration (e.g., GitHub Actions, Jenkins), infrastructure-as-code (Terraform), and containerization (Docker, 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 (e.g., Backstage).

Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States.

Compensation for this role includes base salary + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Base Salary Range

$158,000 - $248,000 USD

Our Values

• Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
• Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
• Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
• Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
• Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

As set forth in Addepar’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.