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Databricks

Builds cloud software for data analysis and AI

Senior Site Reliability Software Engineer

Site Reliability Engineering +1Confirmed live in the last 24 hours
Full-timeCosta RicaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of production-level software engineering experience and strong proficiency in Python.
  • Expert-level proficiency in Terraform, including modules and state management, or Pulumi.
  • Hands-on experience with AWS, Azure, or GCP, together with Kubernetes, Docker, and containerization concepts.
  • Deep understanding of observability pillars, including logging, metrics, and tracing, and experience with tools such as Datadog, Prometheus, or ELK.
  • Proficiency in running systems using distributed-systems concepts such as Kafka or messaging queues.
  • Advanced knowledge of GitHub Actions and GitHub Runners.
  • Ability to take ownership of ambiguous projects, follow a vision set by technical leads, and execute independently with minimal guidance.

Responsibilities

  • Design and deploy production-grade infrastructure on cloud platforms using Infrastructure as Code tools such as Terraform or Pulumi.
  • Optimize system performance, architecture, and scaling to ensure maximum uptime and minimal latency for critical IT services.
  • Architect deployment pipelines, including hosted and self-hosted runners for specialized build requirements.
  • Create underlying infrastructure so new internal applications have security, logging, metrics, and alerts enabled by default.
  • Build internal AI plugins and automation scripts to streamline developer workflows and improve operational efficiency.
  • Manage subsequent data usage and incident-management workflows, and create dashboards to maintain service health.
  • Participate in a shared on-call rotation, lead rapid incident response and technical troubleshooting for production outages, and facilitate blameless post-mortems to identify root causes and implement preventive engineering solutions.
  • Collaborate with Security, Engineering, and Support teams to deliver business outcomes.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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