Sr. IT Site Reliability Software Engineer

Навыки

• AWS
• Azure
• CI/CD
• Data Lake
• Datadog / New Relic
• Распределённые системы
• Docker

О компании и продукте

• 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.
• 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 .
• Team: IT Infrastructure and Operations

Задачи

• 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

Требования

• 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

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

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