Super Intelligence Platform Integration Engineer

We are seeking a Super Intelligence (SI) Platform Integration Engineer to help build and support the shared services, integration, and automation layer that connects SI applications to internal systems, documented equipment interfaces, and approved external services. You will work across backend services, integration tooling, and operations to help SI systems run reliably and securely using established deployment and operational practices. This position is in the Materials Engineering Division (MED) within the Engineering Directorate. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. You will • Build and maintain reusable service frameworks, integration adapters, and automation components that enable agent-facing tools to connect securely to internal and approved external systems. • Integrate APIs, webhooks, queues, and event-driven services into reliable integrations that support agent-driven workflows. • Provide shared connectivity among agent services, hardware gateways, internal platforms, and approved third-party systems. • Implement and improve deployment workflows, secrets management, monitoring, logging, and operational reliability for agent-facing services within established organizational systems. • Help define and implement permission boundaries, auditability, rate limiting, and fallback behaviors for automated actions. • Partner with embedded, applied physical SI, security, and application engineers to troubleshoot issues and improve the reliability of integration points. Coordinate with organizational cybersecurity partners on new approaches with support from senior engineers. • Perform other duties as assigned. Additional job responsibilities, at the SES.2 level • Design integration approaches spanning multiple services, queues, hardware gateways, and approved third-party APIs. • Improve shared platform capabilities by introducing reusable adapters, stronger observability, and safer operational controls based on lessons learned from operational workflows. • Coordinate technical decisions with embedded, applied physical SI, security, and application teams, including the adoption of new integration approaches with cybersecurity partners, and provide informal technical guidance to less experienced engineers. Qualifications • Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship. • Bachelor's degree in computer science, software engineering, or a related field, or an equivalent combination of education and related experience. • Experience through coursework, projects, research, internships, or professional work building or supporting backend services, internal platforms, DevOps workflows, or integration tooling. • Proficiency in Go, Rust, or Python for automation, service integration, and operational tooling. • Familiarity with APIs, webhooks, queues, and event-driven systems. • Working knowledge of Linux, containers, CI/CD, and cloud-hosted services. • Basic networking knowledge, including service connectivity, ports, DNS, proxies, TLS, authentication, and firewall-aware troubleshooting. Additional qualifications at the SES.2 level • Ability to independently design, implement, and troubleshoot integrations spanning APIs, event-driven systems, and secure service operations. • Ability to improve the reliability or security of shared service integrations through reusable tooling, observability, or operational controls. Qualifications We Desire • Experience with observability tools for logging, metrics, tracing, and alerting. • Familiarity with Kubernetes, Docker Compose, Terraform, or other infrastructure automation tools. • Exposure to identity and access patterns such as OAuth, service accounts, and RBAC. • Experience supporting machine learning or LLM-based applications in production environments. Pay Range $121,830 - $185,544 Annually $121,830 - $154,500 Annually for the SES.1 level $146,340 - $185,544 Annually for the SES.2 level This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Additional Information #LI-Hybrid Position Information This is a Career Indefinite position, open to Lab employees and external candidates.