Senior Observability Platform Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Requirements
Senior Observability Platform Engineer Need to Have: * 8+ years of engineering experience with demonstrated expertise in both engineering and architecture roles * Deep expertise in designing and scaling enterprise observability platforms such as Dynatrace, DataDog, IBM SevOne, or similar tools * Proven ability to define and enforce observability patterns, standards, and data models at scale * Strong experience leading intelligent automation and root cause analysis initiatives within observability environments * Hands-on experience with AIOps platforms and AI-driven analysis tools (e.g., Davis AI, causal analysis engines) * Demonstrated expertise in managing observability data (logs, metrics, alerts) at scale with a focus on cost optimization and governance * Solid understanding of platform reliability, scalability, and cross-tool integration in complex enterprise environments
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.indeed.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Navigating the AI Shift
Dev Digest 120 - Apple and peers
Fully Remote Software Engineer Jobs
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production