Senior AI Platform Integration Engineer

ScienceLogic is redefining IT operations for the modern enterprise. They are seeking a Senior AI Platform Integration Engineer to design, build, and support scalable internal APIs and integration services for their next-generation AI platform, Skylar.

Responsibilities:

• Design and implement scalable RESTful APIs and integration services that support Skylar’s AI and automation capabilities
• Contribute to integration standards and best practices for how internal teams expose data and services to the AI platform, including authentication, versioning, schema contracts, and access control
• Develop APIs with token-based authentication (JWT/OAuth 2.0) and endpoint-level authorization controls designed for both user-facing and automated workloads
• Support the implementation and evolution of Skylar’s RBAC model, including role definitions, permission structures, and policy enforcement patterns across a multi-tenant platform
• Assist with enterprise SSO integrations using SAML 2.0 and OpenID Connect (OIDC), including integration with identity providers such as Okta, Azure AD, or Ping Identity
• Partner with ATLAS (OTEL Platform), SPACE (Core Platform & Infrastructure), and Data Platform teams to align on API contracts, data semantics, and integration requirements
• Implement audit logging and observability practices for authenticated access, authorization events, and system activity across the integration layer
• Contribute to identity-aware request routing and session context propagation through Skylar’s platform infrastructure
• Design and maintain containerized integration services running on Kubernetes, including secure secret and configuration management practices
• Participate in technical design discussions, code reviews, and engineering documentation efforts
• Mentor junior engineers and contribute to engineering best practices across the team

Requirements:

• 5+ years of backend or integration engineering experience in production environments
• Strong experience developing production services using Python (FastAPI, Flask) and/or Go
• Experience designing, building, and maintaining enterprise APIs and integration services
• Experience implementing authentication and authorization systems, including RBAC models and multi-tenant access patterns
• Hands-on experience with enterprise SSO protocols such as SAML 2.0 and OpenID Connect (OIDC), including integrations with providers like Okta, Azure AD, or Ping Identity
• Strong understanding of API security, schema validation, and data integration patterns across distributed systems
• Experience participating in technical design reviews and contributing to engineering documentation such as RFCs or ADRs
• Hands-on experience with Docker, Kubernetes, Git, and modern CI/CD practices
• Experience working collaboratively across engineering teams in a fast-paced environment
• Experience with AI-enabled, agentic, or LLM-driven systems and service integrations
• Familiarity with API gateway technologies and authentication enforcement patterns such as rate limiting, token validation, and IP allowlisting
• Exposure to ClickHouse or other analytical databases
• Background in observability, infrastructure tooling, or AIOps platforms
• Familiarity with compliance and security best practices, including audit trail design and least-privilege access models in enterprise SaaS environments
• Strong communication and collaboration skills with the ability to work effectively across multiple engineering teams