Incident Manager

Vaga não está no LinkedIn

🕒 Novembro 2

🤠 Texas – Remoto

🤠 Texas – Remote

💵 $115.700 - $198.900 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👔 Gerente

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Databricks

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2013

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 $1.600.000.000 Series H em 2021-08

Artificial Intelligence • Enterprise • SaaS

A Databricks é uma empresa de dados e IA que oferece uma plataforma unificada para engenharia de dados, machine learning e analytics. Focada em otimizar o processamento de big data, ajuda organizações a aproveitar o Apache Spark para gerar insights mais profundos e criar aplicações poderosas orientadas por dados. A Databricks também disponibiliza ferramentas robustas e integração perfeita para operações de machine learning (MLOps).

Descrição

• Lead Databricks’ most critical production incidents • Coordinate multi-disciplinary response efforts across Databricks’ cloud-based services to rapidly mitigate impact and restore operations • Drive technical root cause analysis and reliability improvements • Collaborate with engineering teams to trace and document underlying causes across distributed systems, services, and data stores • Summarize key learnings, communicate action items, and ensure technical and procedural improvements are followed through • Own incident communications, including frequent updates to executives, engineering leadership, and support • Compose and publish accurate, timely, and empathetic customer-facing notifications • Mentor and train peers in incident communication and technical response disciplines

🎯 Requisitos

• 5+ years of experience in incident management, site reliability engineering, or production operations supporting large-scale, cloud-native systems • Proven ability to lead and coordinate high-severity incidents, including identifying impact, isolating fault domains, and managing multi-team response efforts • Strong understanding of cloud infrastructure (AWS, Azure, or GCP), including compute, networking, storage, and observability components • Deep expertise in log analysis and debugging • Familiarity with log aggregation and search tools such as Datadog, Elasticsearch, Splunk, Cloud Logging, or OpenTelemetry • Hands-on experience with observability systems, including metrics, logging, and tracing frameworks such as Prometheus, Grafana, and OpenTelemetry • Proficiency in at least one major programming or scripting language: Python, Go, or Bash • Experience developing and maintaining incident playbooks and communication templates • Excellent contextual interpretation and writing skills • Ability to summarize and communicate effectively to technical and business audiences • BS, Master's, or other advanced degree in Computer Science, Computer Engineering, or a related Engineering field • If access to export-controlled technology or source code is required, employment may depend on the employer's discretion regarding a U.S. government license

🏖️ Benefícios

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks (specific regional details provided via Databricks benefits documentation)

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