Super Intelligence Platform Integration Engineer
Lawrence Livermore National Laboratory1 day ago
Livermore, CA, USAEntry Level / Mid Level
H1B sponsor
Base Salary
$122k - $186k/yr
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.
About 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 Security, LLC, LLNL’s portfolio spans stockpile stewardship, high-performance computing, and the National Ignition Facility laser program, with work funded primarily through federal contracts and appropriations for defense, intelligence, and civilian agencies.