"chaos testing" Jobs
67 open tech roles matching “chaos testing”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 67 results
Join HappyRobot as a Site Reliability Engineer to enhance operational resilience and improve system uptime in a high-impact role.
Join Anthropic as a Staff Software Security Engineer to lead high-risk security projects in AI systems.
Own quality strategy and execution for new compute hardware platforms in a fast-growing AI cloud company.
Join HappyRobot as a Data Scientist to turn complex data into insights that influence product and ML roadmaps.
Join HappyRobot as Chief of Staff to drive strategic initiatives and enhance operational efficiency in a high-growth AI startup.
Build internal applications and AI agents to streamline operations at HappyRobot as a Product Operations Engineer Intern.
Lead critical cybersecurity incidents and build advanced threat response capabilities at a rapidly growing public AI infrastructure company.
Join HappyRobot as a Data Operations Engineer to synchronize product engineering, deployments, and operations in a high-growth AI startup.
Join CoreWeave as a Data Center Commissioning/Quality Manager, ensuring high-quality standards in data center construction with 50% travel.
Join Substack's Activation team as a Full Stack Software Engineer to build features that empower creators and enhance user engagement.
Join HappyRobot as a Performance Marketing expert to scale demand generation efforts in a high-growth AI startup.
Connect user needs and product capabilities as a Deployment Strategist at a high-growth AI startup.
Join Together AI as a Senior Software Engineer to design and implement a scalable observability platform for our generative AI lifecycle.
Join Doss as an Associate Account Executive to drive sales and impact revenue goals in a fast-growing company.
Join CoreWeave as a Senior IT Systems Engineer to build and operate cloud infrastructure across GCP, Azure, and AWS.