Databricks

Databricks

Posted via Greenhouse

Sr. IT Site Reliability Software Engineer

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
Costa Rica
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of production-level experience

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Role Summary

AI-generated

The Site Reliability Engineer will join Databricks Information Technology's IT Infrastructure team, bridging software engineering and systems architecture. The role focuses on evolving core infrastructure and observability platforms while building resilient, automated, secure, cost-optimized, and highly available cloud environments for development teams and internal applications.

What You'll Do

  • Design and deploy production-grade AWS or Azure infrastructure using Terraform or Pulumi.
  • Optimize system performance, architecture, and scaling for critical IT services.
  • Architect deployment pipelines and manage hosted and self-hosted GitHub Actions runners.
  • Build infrastructure that enables logging, metrics, and alerts by default for internal applications.
  • Build internal AI plugins and automation scripts to streamline developer workflows.
  • Participate in on-call incident response, create service-health dashboards, and facilitate blameless post-mortems.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Strong proficiency in Python; expert-level proficiency in Terraform or Pulumi; hands-on experience with AWS, Azure, or GCP, Kubernetes, Docker, and containerization; observability experience with logging, metrics, tracing, Datadog, Prometheus, or ELK; proficiency with Kafka or messaging queues; advanced knowledge of GitHub Actions and GitHub Runners; ability to execute independently.

Required

  • 5+ years of production-level experience
  • Strong proficiency in Python
  • Expert-level proficiency in Terraform or Pulumi
  • Hands-on experience with AWS, Azure, or GCP
  • Experience with Kubernetes, Docker, and containerization concepts
  • Deep understanding of logging, metrics, and tracing
  • Experience with Datadog, Prometheus, or ELK
  • Proficiency with Kafka or messaging queues

Original job description

Content provided by the employer
View on company site

GAQ127R40 

Team: IT Infrastructure and Operations

About the Role

At Databricks Information Technology, we are a product-led organization transforming how we work—from the ease of using our IT services to the applications we develop to scale seamlessly during rapid growth.

As a Site Reliability Engineer (SRE), you will bridge the gap between software engineering and systems architecture. You will be a core contributor to the IT Infrastructure team, owning the evolution of core infrastructure and observability platforms. This role requires a strong software engineering mindset and deep technical breadth to deliver high-quality, scalable solutions for "immature" system problems. Your focus will be on building resilient, automated infrastructure that empowers development teams and ensures our cloud environment is cost-optimized, secure, and highly available.

The Impact You Will Have

  • 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.

What We Look For

  • Software Engineering Expertise: 5+ years of production-level experience with strong proficiency in Python (non-negotiable).
  • 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.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.

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