"observability tooling" Jobs
98 open tech roles matching “observability tooling”, 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 98 results
Join Anthropic as a Staff Software Engineer to build next-generation observability systems for large-scale AI infrastructure.
Join Vercel as a Software Engineer on the Observability team to enhance application monitoring and developer experience.
Join Braintrust as a Developer Support Engineer to help developers overcome technical blockers in LLM-powered applications.
Join Datadog as a Services Architect to lead customer implementations and enhance their experience with our observability platform.
Join Flow Engineering as a Software Engineer to build AI-powered features for modern engineering organizations.
Join Coram AI as an Infrastructure Software Engineer to build and maintain a custom edge and cloud stack for IoT products.
Join Vertice as a Sustaining Engineer to bridge Support and Engineering, tackling complex technical customer issues in a fast-growing startup.
Join Edra as a Full Stack Engineer to build impactful AI-driven platforms in a collaborative, high-caliber team environment.
Join Anthropic as a Staff+ Software Engineer to build reliable connectivity infrastructure for AI systems.
Lead the Diagnose & Prescribe team at Multiverse, focusing on AI-native solutions for learner and employer needs.
Join Graphcore's Software Infrastructure team to develop tools and services for scaling and managing AI infrastructure.
Join Edra as a Backend Engineer to build foundational systems and influence technical direction in a fast-paced startup environment.
Join Magentic as a Data Platform Engineer to build ingestion pipelines and data schemas for AI-driven procurement solutions.
Join Graphcore as an Infrastructure and MLOps Engineer to scale and manage AI compute infrastructure and tools.
Join Volta as a Platform Engineer to build and operate large-scale GPU compute infrastructure for AI workloads.