Senior Observability Platform Engineer

Intone Networks
New York, NY, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Datadog Dynatrace

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.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

12:33 min

Exploring advanced observability stacks and distributed infrastructure challenges

Pawel Piwosz · LIVE

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

1:01 min

Connecting frontend application performance to user retention and revenue

Dani Coll Dani Coll · WWC 2025

1:36 min

Visualizing memory limits and isolating suspicious endpoints

Dina Matveev Dina Matveev · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:21 min

Automating complete quality assurance pipelines with artificial intelligence

Evelyn Haslinger · LIVE

Videos

See all

Related articles

See all