"observability platforms" Jobs
3964 open tech roles matching “observability platforms”, 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 3964 results
Drive the messaging and positioning for Fiddler's AI Observability suite in a fast-evolving market.
Join Datadog as a Sales Engineer to support customers and partners with technical expertise and presentations in a hybrid work environment.
Join Pave as an Analytics Engineer to redefine compensation insights with real-time data and scalable solutions.
Shape the architecture and drive the technical direction of Perplexity's data ecosystem as a senior member of the Data Platform team.
Join EliseAI as a Strategy and Operations Associate/Sr Associate to scale AI products in housing and healthcare.
Lead the product roadmap for IaC Detection to proactively identify infrastructure issues before deployment.
Join Palantir's software engineering team to enable ML models in production across various environments.
Join Together AI as a Platform Engineer to build and improve infrastructure for model customization and evaluation in a collaborative environment.
Design and optimize AI infrastructure for real-time intelligence at Ambient.ai, enhancing security through advanced AI models.
Join Grafana Labs as a Staff Backend Engineer to build core backend services for an AI-native data intelligence system in a fully remote environment.
Join SpaceX as a Software Engineer to enhance the Core Infrastructure for Starlink, focusing on performance and reliability.
Join OpenEvidence as a Software Engineer in Site Reliability to enhance the infrastructure of a leading medical AI platform.
Join Asana as a Senior Analytical Engineer to transform raw data into reliable datasets for decision-making in a hybrid work environment.
Join Elastic as an AI QA & Evaluation Engineer to validate and test AI infrastructure and solutions in a fully remote environment.
Build and operate real-time inference services for risk decisioning in a fast-growing fintech startup.
Lead the design and development of systems powering AI requests at Harvey, collaborating with multiple teams to ensure reliability and efficiency.