Это шанс попасть в топ-компанию по AI-инфраструктуре с четким пониманием задач и современным стеком. Масштабы платформы делают эту роль мощным бустом для карьеры.
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Текст:
Hirify AI/Оригинал
TL;DR
Sr Platform Monitoring Engineer (Cloud Observability): Building customer-focused monitoring solutions, alerting pipelines, and observability workflows for the Databricks Platform with an accent on incident detection, reliability, and cross-functional response. Focus on investigating complex production incidents, analyzing root causes across infrastructure and cloud providers, and automating monitoring patterns that reduce customer impact.
Location: United States
Company
Databricks builds and operates a data and AI infrastructure platform used by organizations worldwide to develop and scale data, AI, analytics, and agent applications.
What you will do
Lead platform incident investigations and coordinate cross-functional teams through detection, mitigation, and resolution.
Conduct root cause analyses across infrastructure, services, and cloud providers, identifying systemic patterns and prevention opportunities.
Design and implement customer-focused alerting pipelines and end-to-end observability workflows.
Build automation tools, reusable monitoring patterns, and solutions for platform reliability gaps.
Mentor junior engineers on observability patterns, alert design, and service health metrics.
Participate in the on-call rotation.
Requirements
At least 6 years of experience as an SRE, DevOps Engineer, Production Engineer, or in a similar role.
Production experience with AWS, Azure, or GCP, plus Docker and Kubernetes.
Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, or PagerDuty.
Ability to architect solutions that correlate metrics, logs, and traces.
Strong Python or similar-language skills for building production-quality automation tools.
BS, Master's, or PhD in Computer Science, Computer Engineering, or a related engineering field.
Culture & Benefits
Customer-obsessed engineering culture focused on solving complex technical challenges.
Work on a large-scale data and AI infrastructure platform.
Comprehensive employee benefits and perks, with details varying by region.
Commitment to diversity, inclusion, and equal employment opportunity.
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