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Super Intelligence Platform Integration Engineer

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Super Intelligence Platform Integration Engineer in USA new

  • Lawrence Livermore National Laboratory
  • Full time
  • Email
  • Livermore, CA

Responsibilities

  • Build and maintain reusable service frameworks, integration adapters, and automation components for agent-facing tools.
  • Integrate APIs, webhooks, queues, and event-driven services with internal systems, hardware gateways, and approved external services.
  • Improve deployment workflows, secrets management, monitoring, logging, permission boundaries, auditability, rate limiting, fallback behavior, and operational reliability.
  • Partner with embedded, applied physical SI, security, application, and cybersecurity engineers to troubleshoot and improve integration points.
  • At the SES.2 level, design multi-service integration approaches, improve shared platform capabilities, coordinate technical decisions, and provide informal guidance to less experienced engineers.

Requirements

  • Ability to secure and maintain a U.S. DOE Q-level security clearance, requiring 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 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, cloud-hosted services, and basic networking concepts including ports, DNS, proxies, TLS, authentication, and firewall-aware troubleshooting.
  • At the SES.2 level, ability to independently design, implement, and troubleshoot secure integrations and improve shared-service reliability or security.
  • Preferred qualifications include observability experience, Kubernetes, Docker Compose, Terraform or other infrastructure automation tools, OAuth, service accounts, RBAC, and production support for machine learning or LLM-based applications.

Benefits

  • Hybrid schedule with in-person and virtual work and the flexibility to work from home one or more days per week.
  • Flexible Benefits Package, 401(k), relocation assistance, and an education reimbursement program.
  • Flexible schedules depending on project needs.
  • Career Indefinite position open to laboratory employees and external candidates.
  • The role requires a DOE Q-level clearance, federal background investigation, U.S. citizenship, random drug testing for cleared employees, and a post-offer pre-employment drug test.

Salary: $122k - $186k/yr

Lawrence Livermore National Laboratory

Lawrence Livermore National Laboratory (LLNL) is a U.S. Department of Energy/National Nuclear Security Administration laboratory in Livermore, California, conducting research for national security, energy, and fundamental science. Founded in 1952 and operated by Lawrence Livermore National Securi...

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