Senior Platform Engineer, Enterprise AI Security

CodeIntegrity, Inc.; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Four weeks paid vacation

Paid sick leave

Paid parental leave

Budget for conferences and courses

Top-tier equipment

Job summary

CodeIntegrity, Inc. is looking for a skilled engineer to build product systems for AI agents that enterprises can rely on. You will develop backend services for agent connections, and improve product integration surfaces for critical enterprise systems.

The ideal candidate has experience in designing original APIs, maintaining reliability, and transforming ambiguous product challenges into concrete software solutions. We offer a competitive package including salary, equity, benefits, and a professional development budget.

Qualifications

• Proven experience in building production platforms relied upon by teams or customers.
• Ability to design simple yet effective APIs and data models.
• Understanding of state, permissions, identity, and reliability in production systems.
• Capability to transform ambiguous product problems into working software.
• Writing clear, maintainable code for small teams.

Responsibilities

• Build backend services for agent connections and control workflows.
• Design APIs and data models for agent activity reliability.
• Own production paths focusing on authentication and state handling.
• Improve product integration surfaces for enterprise systems.
• Set high engineering standards through mentorship and code reviews.

Skills

Production platforms development

API design

Backend system design

Code clarity and maintainability

Job description

AI agents are changing how enterprises operate. Companies want to move fast with MCPs and agents, but they need a way to do it safely.

CodeIntegrity is the platform security teams use to control MCPs and agents, built for companies deploying AI across the enterprise. We raised $5 million from SYN Ventures, Antler, and Boost, and we are a small team, mostly engineers, shipping fast. We are building the infrastructure that will make enterprise AI safe to use.

What You Will Do

You'll build the software enterprises use to monitor and control AI agents connected to tools and data. Work with our security engineers to turn security requirements into reliable product features.

• Build backend services for agent connections, tool access, execution records, and control workflows.
• Design APIs and data models that handle agent activity, permissions, and customer data securely.
• Build integrations that connect agents, MCP servers, and enterprise systems with clear authentication and authorization boundaries.
• Keep production systems reliable. Write tests, add useful logs and metrics, and debug failures and performance issues.
• Ship features from design through rollout. Review code, document technical decisions, and improve the product using customer feedback.

What We Need

• You have built and maintained software used by customers or internal teams.
• You can design and implement backend services, APIs, and database models.
• You understand authentication, authorization, and safe handling of untrusted input.
• You can test your work, investigate production issues, and reason about performance and failure handling.
• You write maintainable code, communicate tradeoffs clearly, and take ownership of a feature from an open-ended problem to a working release.

Nice to have:

• Familiarity with the MCP specification and how MCP servers are built and used.
• Experience with identity, authentication, authorization, gateways, or related access-control systems.

What We Offer

We offer a competitive package for people who can move quickly, work with enterprise customers, and help build critical infrastructure for enterprise AI.

• Competitive package. Salary, equity, and benefits aligned with the scope and ownership of the role.
• Time off. Four weeks of paid vacation, paid sick leave, and paid parental leave.
• Professional development. Budget for conferences, courses, and certifications across AI, enterprise software, and security.
• Equipment. A MacBook and the equipment you need to do your best work.
• Health benefits. Comprehensive medical, dental, and vision coverage.
• Retirement savings. 401(k) retirement plan.
• Customer access. Work directly with companies adopting AI in production and see the impact of what you build.