"observability" Jobs
265 open tech roles matching “observability”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AWS, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 265 results
Join Vercel as a Data Platform Engineer to build the infrastructure that powers data across the company.
Lead the Coordination Systems - Storage team at Datadog, focusing on essential configuration storage and distribution systems.
Join Crosby as an AI Developer Experience Engineer to enhance developer productivity in building AI features for legal systems.
Join Lyft as a Senior Security Assurance Analyst to lead compliance programs and ensure data protection across global markets.
Join Watershed as a Senior Full-Stack Engineer to build tools that help financial institutions manage climate data.
Drive program execution and strengthen production reliability practices as a Staff Technical Program Manager at MongoDB.
Shape the user experience of an AI-powered financial data platform as a Product Designer in a small, impactful team.
Join Legora as a Senior Platform Engineer to enhance developer experience and build a scalable platform in a fast-paced environment.
Join Snorkel AI as a Software Engineer in Test to enhance testing infrastructure and tooling in a fast-paced environment.
Join Anthropic as a Staff+ Software Engineer to build and scale Claude Managed Agents in a rapidly growing team.
Join MongoDB's SLS team as a Senior Software Engineer to build scalable cloud storage services for petabytes of data.
Join Attentive as a Senior Software Engineer to shape the future of our high-throughput event streaming platform.
Own the cloud and infrastructure at Tennr, leading Kubernetes and AWS management in a hands-on senior role.
Join Knoetic as a Fullstack Product Engineer to build AI products for C-level executives in a high-intensity environment.
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.