Top Tech Jobs & Startup Jobs in Los Angeles, CA

Architect, build, and operate multi-cloud (AWS/Azure) network infrastructure across classified environments (IL-4/5/6+) supporting DoD/IC programs. Lead cloud network design, IAM, boundary protections, RMF/ATO support, STIG/SCA remediation, and compliance with NIST 800-53 and related NSS frameworks.

Design, deploy, and harden Kubernetes-native identity and authorization infrastructure for IL6 multi-tenant environments. Implement workload identity, fine-grained authorization, and policy-as-code enforcement. Integrate IdPs, government identity systems, and secret management; support ATO/compliance processes and collaborate with security, app teams, and auditors.

The Senior Manager of Infrastructure Engineering will lead the infrastructure team, design cloud environments, manage Kubernetes, and drive initiatives in classified and unclassified settings.

Design and develop spacecraft mechanical systems for satellites and on-orbit vehicles. Assist in structural analysis, prototyping, and integration tasks, ensuring designs meet performance and reliability standards.

The Propulsion Engineer will design, analyze, and test propulsion systems for advanced spacecraft, collaborating with various teams to ensure reliability and performance, while also taking ownership of responsibilities and engaging in continuous improvement.

Lead secure architecture design and compliance in regulated cloud environments, manage STIGs and vulnerability remediation, and integrate security practices into DevOps.

The role involves designing and implementing simulation software for spacecraft using C++ and collaborating on algorithms for orbital mechanics and control.

The Mission Architect will develop aerospace and defense systems, ensuring successful implementation of mission requirements across complex platforms, optimizing spacecraft maneuvers, and overseeing integration and verification plans.

Build and maintain AI platform infrastructure, connectors, API integrations, and custom AI-powered applications. Implement authentication, data pipelines, and tooling to embed LLM capabilities across teams. Contribute code, documentation, reviews, and enablement while ensuring security and compliance for government requirements.

Build and lead an enterprise AI platform: design infrastructure, integrations, and custom AI applications. Own provider/tool selection, deploy production model pipelines and connectors, ensure compliance with government security requirements, mentor engineers, and deliver company-wide AI enablement and training.