"production observability" Jobs
630 open tech roles matching “production 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 630 results
Lead and scale the systems that power Partiful's product and engineering team in a high-impact, high-ownership role.
Join CoreWeave as a Staff Software Engineer to own the reliability and performance of our Kubernetes-based data platform.
Lead a team to enhance Datadog’s security and compliance through automation and engineering excellence in a hybrid work environment.
Join Doppel as a senior frontend engineer to shape the UI/UX of a platform aimed at making the internet safer from digital threats.
Join Pendo as a Sr. Software Engineer (AI) to design and ship innovative AI products in a fast-paced, autonomous environment.
Build and operate infrastructure for reliable software delivery in an AI-native engineering organization.
Lead a team to build Anthropic's scheduling platform and improve fleet efficiency in a fast-paced AI environment.
Join Harvey as a Staff Software Engineer to build security foundations for AI agents in a fast-scaling company.
Join Datadog as a Legal Operations Analyst to support the scalability of the global legal team in a hybrid work environment.
Join Method Security as a Forward Deployed Engineer to directly enhance cybersecurity solutions for critical institutions.
Join Braze as a Network Engineer II to design and implement innovative network solutions in a collaborative and passionate environment.
Join Maybern as a Senior Software Engineer to enhance our platform for private fund management in a collaborative NYC office.
Lead product marketing for APM, DEM, and Developer Tools at Datadog, shaping strategies and driving growth.
Lead a team of Sales Engineering leaders to drive account strategy and operational excellence in a hybrid workplace.
Join Viam as a Senior/Staff Software Engineer to build scalable systems for managing fleets of robots in a hybrid work environment.
Lead a hands-on engineering team focused on data and ML infrastructure for a robotics platform in a hybrid NYC environment.