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2025-05-03

Platform Engineer

About Norm Ai

Norm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. 

We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.

We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly.

Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.

We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.


This Role

As a Platform Engineer at Norm Ai, you will architect and build reliable, scalable systems that power our AI-driven compliance platform. You'll work at the intersection of infrastructure, security, and AI operations, building foundational services that enable both our platform reliability and our product teams' velocity. You'll have significant input into our technical architecture and the freedom to propose and implement improvements across our entire stack.

 

You Will:

 

    • Design and implement core platform services such as secure and scalable file handling, distributed job processing, and outage-resilient LLM provider integrations
    • Implement comprehensive observability and security controls across our platform
    • Create tools and processes to improve developer productivity and deployment efficiency
    • Establish best practices for service reliability, testing, and documentation
    • Mentor other engineers on infrastructure and platform development

 

Skills & Experience - Core

 

    • 4+ years of experience as a platform/backend engineer (or other similar role)
    • Strong proficiency in developing cloud-native containerized applications in at least one programming language commonly used for backend development (e.g., Python, Java, Rust, C++, etc.). We primarily use Python.
    • Track record of building reliable and scalable backend systems
    • Proficiency with data storage technologies such as PostgreSQL and Redis
    • Experience with observability tools such as Datadog or OpenTelemetry
    • Comfort with at least one of the major cloud providers (AWS, GCP, Azure)
    • Comfort with designing and maintaining CI/CD pipelines using tools like Github Actions

 

Skills & Experience - Pluses

 

    • Experience in AI/ML infrastructure and tooling
    • Background working on complex compliance or regulatory systems
    • Familiarity with serverless architectures
    • Familiarity or experience navigating common Enterprise requirements such as SAML, SSO, 17a-4, etc.

 

What Success Looks Like - 30 Days

 

    • Norm Ai platform onboarding: Rapidly familiarize yourself with Norm Ai's existing infrastructure, architecture, and the unique challenges of our AI-driven compliance solutions.
    • Architectural analysis: Identify key areas for improvement in existing foundational services and other aspects of Norm Ai’s architecture.
    • Monitoring & Alerting: Implement some essential improvements to our monitoring and alerting systems to provide visibility into the health and performance of our infrastructure.

 

What Success Looks Like - 60 Days

 

    • Improve end user experience: ​​Based on pain points you observe over the first few weeks, design and implement an enhancement to a core platform service, such as improving the efficiency of our distributed task queue for compliance checks.
    • Documentation & best practices: Contribute to internal documentation by creating or significantly improving documentation for a key platform component in a way that helps both engineers’ and their AI coding tools better contextualize their understanding of the codebase.

 

What Success Looks Like - 90 Days

 

    • Enhance platform scalability: Dive deep into the code for our DSL execution engine and propose a redesign that enhances its scalability by breaking the execution into smaller atomic chunks.
    • Mentorship & knowledge sharing: Begin mentoring other engineers on best practices by leveraging your years of experience in other roles in a way that improves their productivity, enhances their understanding, and fosters better team collaboration.
$200,000 - $250,000 a year
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with the maximum legally permitted employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.
If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.
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