Назад
22 дня назад

Senior Production Engineer (Realtime Products)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Production Engineer (Realtime Products) (Observability/Reliability): Building monitoring, detection, automation, and incident-mitigation tooling to keep realtime products such as Lakebase, Neon, and Model Serving reliable, secure, and scalable in production with an accent on stateful systems, distributed infrastructure, and customer experience. Focus on leading follow-the-sun incident response, performing root-cause analysis, and designing durable corrective actions across AWS, Azure, and GCP.

Location: Mountain View, California, United States

Company

Databricks is a data and AI company providing a unified platform for building and scaling data, analytics, and AI applications.

What you will do

  • Build advanced monitoring and detection capabilities for realtime products, including Lakebase, Neon, and Model Serving.
  • Develop observable automation for debugging and incident mitigation.
  • Improve service reliability, scalability, security, and operational efficiency.
  • Participate in a follow-the-sun on-call rotation and lead production incident response.
  • Perform root-cause analysis and implement durable corrective actions.
  • Partner with Product Engineering, Security, Support, infrastructure teams, and customer infrastructure teams.

Requirements

  • 5+ years of experience in Production Engineering, CRE, SRE, infrastructure engineering, backend software engineering, or a related field.
  • Experience monitoring and alerting complex stateful systems using workload alerting, anomaly detection, and probing.
  • Experience with PostgreSQL, managed databases, or distributed systems.
  • Experience with incident management and on-call rotations for critical infrastructure.
  • Strong programming skills in Python, Go, Java, Scala, or a similar language.
  • Proficiency with infrastructure automation and Infrastructure as Code, plus experience using AI for production and operational challenges.

Nice to have

  • Experience with AWS, Azure, or GCP.
  • Experience with Lakebase or Neon.
  • Experience with Kubernetes or Terraform.
  • Experience building internal platforms, operational tooling, or developer productivity systems.
  • BS degree or higher in Computer Science or a related field.

Culture & Benefits

  • Benefits and perks are provided according to the employee's region.
  • Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
  • Work involves collaboration across engineering, security, support, infrastructure, and customer teams.

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