Jobs at Chaos Industries

Design, build, and maintain Palantir Foundry-based data pipelines and backend services. Define data and backend architecture, enable real-time data processing, integrate data flows with product and hardware teams, mentor engineers, and help set engineering roadmaps. Onsite presence required 3+ days weekly in San Francisco or Los Angeles.

Design, build, and maintain Palantir Foundry pipelines and data infrastructure; define backend and data architecture; integrate data flows with software, systems, and hardware; support production systems; mentor engineers; work hybrid from San Francisco or Los Angeles.

Build and maintain Palantir Foundry-based data pipelines, backend services, and real-time processing. Define data/backend architecture, integrate data flows with product and hardware teams, mentor engineers, and support production systems to enable mission outcomes.

Design, build, and operate cloud-native backend services in Python to ingest, process, and serve sensor data on Azure. Architect scalable, low-latency data pipelines, maintain CI/CD and testing infrastructure, integrate with hardware teams, define architecture, mentor engineers, and travel periodically to offices and customer sites.

Monitor, triage, investigate, and respond to security alerts across endpoints, cloud, and networks. Administer SOC tools (EDR/XDR, SIEM, Azure Sentinel), assist containment and remediation, tune detections, support compliance (CMMC, NIST 800-171, DFARS), and collaborate with IT and engineering to improve security posture.

Lead day-to-day operations for the San Francisco office, manage facilities, vendors, supplies, security protocols, and visitor experience. Coordinate onboarding, recruiting logistics, events, minor administrative support, calendar assistance, and future office moves while fostering a positive office culture.

Design, integrate, and deploy AI/ML systems for defense products: develop inference services, data pipelines, model evaluation and robustness testing, prototype to production, and optimize edge/GPU deployments while collaborating with product and mission teams.