"data observability" Jobs
568 open tech roles matching “data 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 568 results
Build trusted data systems to support clinical operations and analytics at a tech-driven pharma company.
Join Cloudflare as a Principal Systems Engineer to enhance AI tools for thousands of engineers in a hands-on role.
Join Arize AI as a Senior AI Product Engineer to build scalable backend systems for ML observability in a hybrid work environment.
Join Abridge as a Research Scientist to evaluate the impact of ambient AI on healthcare outcomes in a fast-paced startup environment.
Design and build scalable data infrastructure at a fast-growing fintech company focused on enhancing customer loyalty and financial products.
Join Palantir's software engineering team to enable ML models in production for critical customers.
Own the frontend architecture of the W&B app, ensuring performance, stability, and reliability for AI researchers and engineers.
Join CoreWeave as a Staff Software Engineer to own the reliability and performance of our Kubernetes-based data platform.
Lead the system design of a data platform for a cybersecurity ratings company with a focus on data quality and architecture.
Join Watershed as a full-stack software engineer to build impactful sustainability products in a mission-driven startup environment.
Join Arize AI as a Senior AI Product Engineer to build scalable solutions for AI observability and evaluation.
Join Camber as a Senior Platform Software Engineer to enhance healthcare accessibility through innovative platform solutions.
Develop go-to-market strategies for Datadog's Incident Response products in a hybrid work environment.
Join Anthropic as a Staff+ Software Engineer to build production systems for capacity engineering in a hybrid work environment.
Lead and grow a high-performing team of Data Engineers to build and maintain scalable data systems for a fast-growing healthcare company.