24 days ago
Base Salary
$177k - $365k/yr
Responsibilities
- Own third-party AI-tool connectivity end to end, including authentication, traffic routing, internal data access, and boundary security.
- Define reusable architecture standards, guardrails, and patterns for secure AI-vendor onboarding.
- Build and operate custom MCP servers and connectors exposing internal tools such as Slack, Google Workspace, and Atlassian.
- Lead incident response, cross-system troubleshooting, root-cause analysis, long-term fixes, and postmortems.
- Build automation and integrations with scripting languages, platform APIs, and SDKs for connector lifecycle management, configuration as code, and monitoring.
- Integrate AI tools with identity, security, and IT workflows including SSO/IdP, SCIM, DLP, logging, and ITSM.
- Use AI assistants to accelerate coding, testing, documentation, configuration, and runbook development while validating results.
- Lead cross-functional initiatives including AI-tool onboarding, secure transport deployments, connector migrations, and integration-standard rollouts.
- Mentor engineers, review designs and implementations, and provide technical direction.
- Represent the team with internal stakeholders and external vendors while translating business needs into durable technical solutions.
Requirements
- 7+ years of professional software engineering experience, including hands-on ownership of production services or platform integrations in a medium-to-large environment.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
- Strong backend programming skills in Python, Go, Java, TypeScript/Node, or similar, with solid software design and architecture ability.
- Deep hands-on expertise with OAuth 2.0/2.1, OIDC, SAML, token exchange, and PKCE.
- Strong systems design and troubleshooting skills across clients, networks, identity, edge/ingress, and backend services.
- Experience building and integrating APIs and services using REST/RPC, webhooks, SDKs, and SaaS/tool APIs.
- Knowledge of automated testing, code review, CI/CD, observability, and safe production rollout practices.
- Familiarity with MCP, AI connector/gateway ecosystems, and security, privacy, and compliance controls such as SSO/SCIM, DLP, and access reviews.
- Kubernetes/EKS and Terraform experience is a plus.
- Demonstrated use of AI tools to accelerate engineering work while validating outputs and protecting reliability and security.
- Track record of staff-level scope, including leading complex initiatives, shaping cross-team roadmaps, mentoring engineers, and owning impactful outcomes.
- Ability to collaborate effectively across diverse teams and locations while modeling Pinterest’s values.
Benefits
- Remote flexibility with in-office collaboration required only 1–2 times every 6 months, allowing the role to be situated anywhere in the country.
- Not eligible for relocation assistance.
- US-based applicants only.
- Eligible for equity.
- Pinterest provides inclusive workplace and accommodation support.
About Pinterest
Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where more than 600 million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments.