"large scale observability" Jobs
1651 open tech roles matching “large scale observability”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, Go. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 1651 results
Join Grafana Labs as a Staff Software Engineer to lead the technical direction of authentication systems for millions of users.
Own the system architecture for a startup transforming engineering with AI, working directly with civil engineers.
Act as a strategic partner to enterprise customers, driving product attachment and fostering strong relationships.
Join MongoDB's SLS team as a Senior Software Engineer to build scalable cloud storage services for petabytes of data.
Lead the Experimentation team at LaunchDarkly, driving the development of a core product that enhances data-driven decision-making.
Lead a strategic engineering team at Orca Security, focusing on large-scale distributed systems and cloud security innovation.
Join Resolve AI as a Staff+ Software Engineer to build autonomous AI solutions for complex system issues.
Join Atoms as a Senior Systems Engineer to lead diagnostics and failure analysis for real-world robotic systems.
Design and maintain critical data pipelines and infrastructure for a fast-growing cybersecurity company.
Join LaunchDarkly as a Full Stack Engineer to build scalable systems for AI evaluations and enhance agent functionality.
Join Okta as a Senior Site Reliability Engineer to build reliable cloud services with a focus on automation and operational excellence.
Lead the Capacity Engineering team at Anthropic, ensuring efficient allocation and utilization of infrastructure resources.
Join Profound as a Software Engineer to design and scale the data platform infrastructure for AI-driven marketing solutions.
Join MongoDB as a Senior Platform Engineer to enhance developer productivity through a self-service internal development platform.
Join Periodic Labs as a Software Engineer to build backend systems for an AI-native physical science lab.