Senior AI Platform Integration Engineer

ScienceLogic is redefining IT operations for the modern enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT — where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows, and unlock performance at scale.
We’re accelerating digital transformation through the power of automation, AI, and analytics — giving IT and business leaders the tools to deliver superior customer experiences, drive efficiency, and innovate with confidence.

About the Role

We’re seeking a Senior AI Platform Integration Engineer to join the Skylar initiative — ScienceLogic’s next-generation AI platform. This role focuses on designing, building, and supporting scalable internal APIs and integration services that connect partner engineering systems to Skylar’s intelligent automation layer.

The ideal candidate is a strong backend and integration engineer with experience building secure, enterprise-grade APIs and distributed services in complex environments. You’ll collaborate closely with platform, infrastructure, and data engineering teams to deliver reliable integration patterns, scalable authentication and authorization solutions, and high-quality developer experiences across the Skylar ecosystem.

If you enjoy solving problems at the intersection of APIs, identity systems, distributed platforms, and AI-enabled applications, this role offers the opportunity to make a meaningful impact on a rapidly evolving platform.

Key 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.

Required Experience

• 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.

Preferred Qualifications

• 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.

• Comprehensive medical, dental and vision plans.

• 401(k) plan with employer match.

• Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.

• Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.

• 5-year Service Milestone Sabbatical.

• Paid parental leave.

• Generous employee referral bonus program.

• Pet insurance.

• HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.

• Regular virtual company-wide events, including cooking classes, yoga, meditation and more.

• The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.

www.sciencelogic.com