"observability tooling" Jobs
1422 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 1422 results
Join LaunchDarkly as a Full Stack Engineer to enhance enterprise capabilities in our Observability product.
Join Okta as a Senior Software Engineer to lead observability initiatives and enhance platform stability in a hybrid work environment.
Lead a team of engineers to enhance observability across Atoms' infrastructure in a hands-on management role.
Join Vercel as a Software Engineer on the Observability team to enhance application monitoring and developer experience.
Join Twilio as a Senior DevOps Engineer to lead the observability transformation in a fully remote environment.
Join Together AI as a Senior Software Engineer to design and implement a scalable observability platform for our generative AI lifecycle.
Join Vercel as a Product Manager to lead the strategy for observability products in a hybrid role based in New York.
Join LaunchDarkly as a Full Stack Engineer to build and expand Vega, an AI-powered platform for observability and feature management.
Join Braintrust as a Software Engineer to enhance developer tools and streamline production processes for the engineering team.
Join Grafana Labs as an Observability Architect to lead technical partnerships and drive customer success in a fully remote environment.
Join DataHub as a Senior Product Manager to lead the development of observability and data quality solutions in a fully remote environment.
Join GitLab as a Senior Backend Engineer to build monitoring and anomaly detection tools for monetization systems in a fully remote environment.
Join Grafana Labs as an Associate Observability Architect to lead technical partnerships and drive customer success in a fully remote environment.
Join Orkes as a Site Reliability Engineer to enhance the reliability and performance of cloud-based production systems.