Principal Platform Engineer, MCP & Connectors

Procore Technologies•Austin, TX

3d•Hybrid

About The Position

Procore Technologies is hiring a Principal AI Platform Engineer, MCP & Connectors to design, build, deploy, and operate Model Context Protocol (MCP) connectors that link Claude with Procore’s business systems and internal services. The role is part of the AI & Atlassian Engineering team within IT Infrastructure & Operations and works closely with the Platform & AI Architect, AI Platform Administrator, Security, GRC, and business system owners to deliver secure, reliable integrations for an enterprise Claude rollout. The engineer will own production MCP servers and connectors, supporting their ongoing development, releases, documentation, monitoring, and incident response. The integrations will connect Claude to platforms such as Salesforce, Zuora, NetSuite, Databricks, and Workday, while preserving source-system permissions and tenant boundaries. The role also supports the AI builder program’s repositories, hosting infrastructure, secrets management, SSO, and operational reporting. The position reports to the Senior Manager, AI & Atlassian Engineering and is based in Procore’s Austin, Texas office on a hybrid schedule.

Requirements

At least 5 years of professional backend software or integration engineering experience, with demonstrated ownership of scalable, high-reliability production services.
Hands-on experience designing, building, and deploying at least one production MCP server or substantial MCP integration beyond demo environments.
Strong programming proficiency in Python or TypeScript/Node.js, with the ability to contribute effectively in both environments.
Deep technical expertise in REST APIs, JSON schema validation, and asynchronous processing.
Hands-on experience implementing OAuth flows, access scopes, and secrets management.
A track record of deploying cloud services through automated CI/CD pipelines, with monitoring, alerting, and strategies for handling partial failures and upstream API changes.
Capability to establish an enterprise integration or connector program from the ground up and translate complex business processes into focused technical specifications.
Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical work experience.

Nice To Haves

Experience with Claude API capabilities, tool calling, Claude Agent SDK, or Claude Code.
Experience with modern observability tooling such as OpenTelemetry.
Background as a backend software engineer with production experience in LLM tooling, agent protocols, or MCP implementations.
Background as an enterprise integration engineer or middleware developer specializing in SaaS API orchestration, such as Salesforce, Workday, or NetSuite.
Background as a cloud platform engineer or systems engineer focused on internal developer infrastructure and automated delivery pipelines.
Background as an AI platform engineer connecting foundation models with enterprise data pipelines and secure API gateways.

Responsibilities

Design, build, deploy, and maintain custom MCP servers and connectors linking Claude to enterprise business platforms, based on prioritized business workflows.
Take ownership of production MCP servers, leading continuous iteration, versioning, and technical documentation after initial development handoffs.
Evaluate third-party and vendor-provided connectors against architectural requirements and recommend whether to configure, extend, or build custom solutions.
Implement authentication and authorization frameworks, including OAuth flows, scoped access, token validation, credential rotation, and secret storage, while preserving source-system permissions and tenant boundaries.
Define tool interfaces, input schemas, and validation rules, separate read and write capabilities, and enforce approval paths for consequential actions.
Build automated test suites and observability pipelines to monitor API contracts, authorization rules, availability, latency, failure recovery, and downstream dependencies.
Build and maintain GitHub repositories, hosting infrastructure, secrets management, and SSO integration supporting the AI builder program.
Stream operational data into central reporting pipelines.
Manage integration releases, rollback procedures, and incident resolution, and participate in shared on-call duties.
Stay current with updates to MCP specifications, Claude APIs, and connected systems.