Founding Infrastructure Engineer

Location

United States — Remote

Company Stage of Funding

Seed-stage AI startup

Office Type

Fully remote. No relocation support.

Salary

$200,000–$240,000 USD annually.

Equity

Competitive equity.

Visa

Not open to visa sponsorship or transfers. Candidates must already have unrestricted US work authorization, such as US citizens or Green Card holders.

Employment Type

Full-time

Company Description

This company is building an enterprise AI orchestration platform for the commercial real estate industry. Its platform is designed to bring AI-powered workflows and orchestration capabilities to enterprise customers in the real estate sector.

As an early-stage company, it is building its technical foundation while developing a product for enterprise customers. Infrastructure, deployment architecture, security, and tenant isolation are critical to ensuring the platform can support customer requirements as it grows.

The company is looking for its first dedicated infrastructure engineer to establish the infrastructure foundation from scratch. This person will have significant ownership over cloud infrastructure, container orchestration, CI/CD pipelines, deployment architecture, and enterprise security requirements.

The role offers an opportunity to shape the infrastructure strategy and make foundational technical decisions at a seed-stage AI startup.

What You Will Do

1. Build Cloud Infrastructure From Scratch

• Establish and manage the company's cloud infrastructure from the ground up.

• Design the infrastructure foundation required to support an enterprise AI orchestration platform.

• Set up and manage cloud environments across AWS, Azure, and/or GCP.

• Make architectural decisions around infrastructure scalability, reliability, security, and maintainability.

• Take ownership of the infrastructure roadmap as the company's first infrastructure hire.

2. Design and Manage Container Orchestration

• Set up and manage containerized application infrastructure using Docker and Kubernetes.

• Build deployment architecture that supports reliable application delivery and operation.

• Establish container orchestration practices and infrastructure standards.

• Ensure the platform's deployment environment can support enterprise customer requirements.

3. Build CI/CD Pipelines and Deployment Architecture

• Design and implement CI/CD pipelines from scratch.

• Establish automated build, testing, and deployment workflows.

• Improve the reliability and efficiency of application deployments.

• Create repeatable infrastructure and deployment processes as the engineering organization grows.

• Own the end-to-end deployment architecture.

4. Implement Infrastructure as Code

• Use Terraform to provision, configure, and manage cloud infrastructure.

• Establish consistent and repeatable infrastructure provisioning workflows.

• Manage infrastructure configuration and changes through code.

• Build maintainable infrastructure foundations that can evolve with the platform.

5. Manage Multi-Tenant Data Isolation

• Design and implement infrastructure patterns that support per-tenant data isolation.

• Ensure customer environments and data are appropriately separated.

• Build infrastructure that supports enterprise requirements around security and tenant boundaries.

• Make thoughtful architectural decisions around isolation, access, and security.

6. Own Enterprise Security Requirements

• Support client security reviews and enterprise security requirements.

• Implement and manage authentication and access-control infrastructure.

• Work with technologies and standards such as OIDC, SSO, and Vault.

• Help establish secure infrastructure practices for enterprise customers.

• Address infrastructure-related security questions and requirements during customer evaluations.

7. Establish the Infrastructure Foundation

• Act as the first dedicated infrastructure engineer and take ownership of the infrastructure function.

• Make foundational decisions around cloud architecture, deployment processes, orchestration, and security.

• Build systems and processes that can scale as the product and customer base grow.

• Work closely with the engineering team to understand application requirements and translate them into infrastructure solutions.

• Balance speed of execution with the reliability and security expectations of an enterprise platform.

Ideal Candidate Background

Experience Requirements

• Strong infrastructure, DevOps, platform engineering, or cloud engineering background.

• Demonstrated experience building cloud infrastructure and deployment architecture.

• Experience setting up infrastructure and CI/CD pipelines from scratch.

• Experience with containerization and container orchestration.

• Experience managing infrastructure for production applications.

• Comfortable operating independently and taking ownership of infrastructure decisions.

• Able to work in an early-stage environment where infrastructure processes and architecture need to be established.

Technical Requirements

• Cloud Infrastructure: Hands-on experience with AWS, Azure, and/or GCP.

• Infrastructure as Code: Strong experience with Terraform.

• Containerization: Experience with Docker.

• Container Orchestration: Experience with Kubernetes.

• CI/CD: Experience designing and implementing CI/CD pipelines.

• Identity and Access Management: Familiarity with OIDC and SSO.

• Secrets Management: Experience with Vault or comparable secrets-management systems.

• Programming: Python experience.

• Infrastructure Architecture: Ability to design and build deployment infrastructure from scratch.

• Multi-Tenancy: Understanding of per-tenant data isolation and infrastructure patterns that support enterprise customers.

Infrastructure Ownership

• Has independently owned or significantly contributed to building an infrastructure foundation.

• Can make architectural decisions without relying entirely on an existing infrastructure team.

• Comfortable establishing infrastructure standards and processes.

• Understands how infrastructure decisions affect application deployment, security, and reliability.

• Can balance immediate startup needs with long-term infrastructure scalability.

Security and Enterprise Readiness

• Understands enterprise security expectations.

• Has worked with authentication, authorization, identity, and access-management systems.

• Can support client security reviews and communicate infrastructure-related security decisions.

• Understands tenant isolation and the importance of protecting customer data.

• Can build secure infrastructure foundations for enterprise-facing applications.

Ownership and Execution

• Comfortable being the first infrastructure hire or working in a very lean infrastructure team.

• Can take ambiguous infrastructure requirements and turn them into practical solutions.

• Able to build systems from scratch rather than only maintaining existing infrastructure.

• Proactive in identifying infrastructure gaps and implementing improvements.

• Comfortable working in a fast-moving seed-stage startup environment.

• Strong problem-solving and independent execution skills.

Nice-to-Have Qualifications

• Experience as a founding infrastructure, DevOps, or platform engineer.

• Experience supporting enterprise SaaS or AI platforms.

• Experience designing multi-tenant infrastructure and tenant-level data isolation.

• Experience supporting enterprise security reviews.

• Experience with OIDC, SSO, and Vault.

• Experience working across multiple cloud environments.

• Experience building infrastructure for AI orchestration or AI-powered applications.

Compensation & Benefits

• Base salary of $200,000–$240,000 USD annually.

• Competitive equity.

• Comprehensive medical, dental, and vision coverage.

• Unlimited PTO.

• Fully remote role within the United States.

• No relocation support.

Why Join

• Be the first dedicated infrastructure engineer and establish the infrastructure foundation from scratch.

• Have significant ownership over cloud architecture, deployment systems, container orchestration, and security.

• Make foundational technical decisions at a seed-stage AI startup.

• Build infrastructure for an enterprise AI orchestration platform in the commercial real estate industry.

• Work on important technical challenges involving multi-tenant data isolation and enterprise security requirements.

• Shape the infrastructure function as the company and platform grow.