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Sr. IT Site Reliability Software Engineer

Databricks· IT Infrastructure and Operations
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Hybrid (Costa Rica)Full-timePosted 4mo ago

About the role

Site Reliability Engineer (SRE) bridging software engineering and systems architecture to evolve core infrastructure and observability platforms, building resilient, automated infrastructure for cloud environments, cost optimization, security, and high availability.

Responsibilities

  • Architect and Automate: Design and deploy production-grade infrastructure on cloud platforms (AWS/Azure) using Infrastructure as Code (IaC) tools like Terraform or Pulumi.
  • Reliability and Performance Engineering: Optimize system performance, architecture, and scaling to ensure maximum uptime and minimal latency for critical IT services.
  • CI/CD Excellence: Architect robust deployment pipelines (e.g., GitHub Actions), managing both hosted and self-hosted runners for specialized build requirements.
  • Observable by Default: Create underlying infrastructure to ensure new internal applications are secure and have logging, metrics and alerts enabled by default.
  • Agentic ToolingI: Build internal AI plugins, and automation scripts to streamline developer workflows and enhance operational efficiency.
  • Incident Response: Focus on subsequent data usage, incident management workflows, and creating necessary dashboards to maintain service health. Participate in a shared on-call rotation, leading rapid incident response and technical troubleshooting for production outages.Facilitate blameless post-mortems to identify root causes and implement permanent preventive engineering solutions.
  • Partner Cross-Functionally: Collaborate with Security, Engineering, and Support teams to deliver real business outcomes.

Qualifications

  • Software Engineering Expertise: 5+ years of production-level experience with strong proficiency in Python.
  • Infrastructure as Code (IaC): Expert-level proficiency in Terraform (modules, state management) or Pulumi.
  • Cloud & Containers: Hands-on experience with AWS, Azure, or GCP, along with Kubernetes, Docker, and containerization concepts.
  • Observability Mindset: Deep understanding of observability pillars (logging, metrics, tracing) and experience with tools such as Datadog, Prometheus, or ELK.
  • Distributed Systems: Proficiency in running systems using concepts like Kafka or messaging queues.
  • CI/CD Proficiency: Advanced knowledge of GitHub Actions and GitHub Runners.
  • Independent Execution: Ability to take ownership of ambiguous projects, follow a vision set by tech leads, and execute independently with minimal guidance.

Skills

Required:PythonTerraformAWSAzureKubernetesDockerGitHub ActionsGitHub RunnersIncident Management
Nice to have:PulumiGCPDatadogPrometheusELKKafka

Benefits

  • Benefits information available via regional link in the job description (click here)
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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