"ai observability" Jobs
583 open tech roles matching “ai observability”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 583 results
Lead the Forward Deployed Engineering team at Datadog, shaping its operating model and influencing product roadmaps.
Join Pave as a Software Engineer to build the infrastructure that powers a leading compensation platform.
Join Harvey AI as a Staff Software Engineer to build a robust data platform that empowers teams to work with data confidently and independently.
Join Anthropic as a Performance Engineer to optimize the inference engine for AI systems at scale.
Join Camber as a Senior Platform Software Engineer to enhance healthcare accessibility through innovative platform solutions.
Join Traversal as an AI Research Engineer to build and scale infrastructure for AI agents diagnosing production incidents.
Lead the design and execution of Datadog implementations, guiding customers through technical roadmaps in a hybrid work environment.
Join Profound as a Staff Infrastructure Engineer to build and scale systems in a fast-growing AI marketing platform.
Lead a team of engineers to enhance internal platforms and developer experiences at Datadog in a hybrid work environment.
Build and operate real-time inference services for risk decisioning in a fast-growing fintech startup.
Join Palantir's software engineering team to enable ML models in production for critical customers.
Join Harvey AI as a Senior Software Engineer to build a robust data platform that empowers teams to work with data confidently and independently.
Drive new business acquisition as an Enterprise Account Executive at Resolve AI, a startup revolutionizing engineering operations with AI.
Join Beacon Software as a Member of Technical Staff to build a robust data platform for a growing portfolio of SaaS companies.
Join Edra as a Full Stack Engineer to build foundational systems and user experiences in a collaborative, onsite environment.