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 assets under management, 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 Cloud Infrastructure Engineer at Norm Ai, you will architect and build a reliable, scalable, and performant infrastructure for our rapidly evolving AI-driven compliance platform. You will drive key infrastructure initiatives including advancing our Infrastructure as Code practices, implementing our multi-cloud strategy, and enabling diverse enterprise deployment scenarios. You will work closely with our software engineering and product teams to deliver enterprise grade software solutions to the world's largest regulated institutions. You will contribute to strategic discussions around our infrastructure, bringing insights and recommendations to drive our technology decisions and product evolution. This role will bring dedicated expertise in Azure to support our ongoing buildout and expansion into Microsoft’s cloud ecosystem, complementing our existing AWS and GCP cloud infrastructure.

In this role, you will:

• Lead the design and implementation of our multi-cloud strategy across AWS, GCP, and Azure with cloud-agnostic Infrastructure as Code

• Support Azure infrastructure buildout efforts in collaboration with the broader infrastructure team, including networking, identity, and resource architecture

• Architect flexible deployment patterns to support on-premises, hybrid, and air-gapped customer environments

• Drive Infrastructure as Code best practices and governance across the engineering organization

• Implement fault-tolerant and resilient design patterns to minimize service disruptions

• Build and maintain automation tools and CI/CD pipelines to streamline processes and improve reliability

• Create systems to support a growing set of enterprise requirements on our platform, including robust permissioning, authentication, logging, and auditability

• Implement monitoring systems to proactively identify issues and anomalies in production

• Work closely with customer engineering teams to enable rapid adoption of Norm Ai solutions

Skills & Experience - Core

• 6+ years of hands-on infrastructure engineering experience at technology companies, with significant time spent on complex, large-scale systems

• Deep expertise in Infrastructure as Code with Terraform, including advanced patterns like modules, workspaces, and state management across multiple cloud providers

• Proven experience architecting and implementing multi-cloud strategies with practical knowledge of cross-cloud networking and identity federation

• Experience designing infrastructure for diverse deployment scenarios including air-gapped, on-premises, and hybrid environments

• Strong foundation in computer science fundamentals - we're looking for engineers who understand systems at a deep level, not just cloud services

• Comfort navigating enterprise requirements and API integrations

• Proficiency in Python and experience with complex data storage architectures beyond basic CRUD operations

• Experience designing and maintaining CI/CD pipelines using tools like Github Actions

Skills & Experience - Pluses

• Experience in AI/ML infrastructure and tooling

• Experience building infrastructure for highly regulated industries with complex deployment requirements

• Background in distributed systems architecture and cross-region/cross-cloud data replication

• Experience with configuration management tools (Ansible, Salt) for hybrid deployment scenarios

• Familiarity with serverless architectures

• Experience with enterprise security and compliance standards such as SAML, SSO, SEC Rule 17a-4, etc.

• Microsoft Certified: Azure Solutions Architect Expert

What Success Looks Like

30 days

• Norm Ai Integration: Rapidly familiarize yourself with Norm Ai's existing infrastructure, architecture, and the unique challenges of our AI-driven compliance solutions

• Multi-Cloud Infrastructure Validation: Conduct comprehensive testing and validation of our multi-cloud deployment capabilities, ensuring feature parity across providers and identifying application-level changes needed for cloud-agnostic operations

• Cross-Provider Compatibility: Resolve platform-specific dependencies and implement abstraction layers to enable seamless operation across different cloud environments

60 days

• Cross-Account Infrastructure & Data Controls: Design and implement infrastructure patterns that enable secure cross-account connectivity and flexible data control models, supporting customer requirements for data residency and account separation

• Flexible Deployment Models: Deliver solutions for diverse customer deployment scenarios including customer account deployments and hybrid infrastructure configurations

• Multi-Cloud CI/CD: Establish deployment pipelines that support consistent, reliable deployments across multiple cloud providers and customer infrastructure models

• Strategic Infrastructure Roadmap: Develop a comprehensive plan for scaling our infrastructure capabilities to meet growing enterprise requirements and deployment complexity

Comp & Benefits

$175,000-$250,000 a year plus equity

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 an 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.

We embrace a flexible hybrid model, typically in-office 3–4 days per week.

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.