"large scale observability" Jobs
1655 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 1655 results
Join Okta as a Staff Site Reliability Engineer to build and manage Kubernetes platforms for cloud-native applications.
Lead the Core Infrastructure team in Bengaluru, driving technical execution and operational excellence for Harvey's AI platform.
Operate and optimize multi-petabyte storage systems for AI workloads at Together AI.
Join Lightfield as a Staff Software Engineer to architect and scale the infrastructure for an AI-driven CRM in a fast-paced environment.
Join PlanetScale as a Software Engineer to build Neki, a sharded PostgreSQL product, and tackle complex distributed systems challenges.
Join Amplitude as a Senior Software Engineer to enhance a complex OLAP system that powers AI-driven product analytics for enterprise customers.
Join Komodo Health as a Senior Data Platform Engineer to shape core data products that drive better health outcomes.
Join Maven Clinic as a Staff Software Engineer focusing on product security to enhance healthcare for women and families.
Lead the architecture and technical direction of Elastic's agent layer for the Streams model in a fully remote environment.
Join Langfuse as a Senior Product Engineer to build impactful open-source AI applications in a small, dynamic team.
Join Pave as an Analytics Engineer to redefine compensation insights with real-time data and scalable solutions.
Join Reflection AI as a Data Ingestion Engineer to build and operate large-scale data ingestion systems for AI model training.
Join Lyft as a Senior Software Engineer to build and maintain data pipelines that support millions of drivers and passengers daily.
Lead the development and market direction of Meter's first data center switching line, collaborating closely with hardware and engineering teams.