Senior Software Engineer - Multi Cloud EfficiencyActive

Databricks
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The opportunity

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI…

What you'll do

  • End-to-End System Design: Lead projects from concept to deployment. You will design and build scalable systems that handle high-volume data streams to provide accurate cost attribution and resource management, turning chaotic cloud spend into actionable data.

  • Scaling & Optimization: Identify and eliminate inefficiencies in our cloud architecture. You will engineer solutions that mitigate resource waste, improve attribution accuracy, and raise the efficiency of our underlying cloud and data infrastructure.

  • Component Ownership: Act as the technical expert for your service area. You will take ownership of the full lifecycle of your services, ensuring high code quality, effective monitoring, and low operational overhead.

  • Bridge the Gap: Work effectively with product and infrastructure teams to turn business needs into technical specifications. You will develop tooling that simplifies the complex world of cloud economics for other engineers and budget owners.

  • Mentorship & Best Practices: Uplevel the team by contributing to code reviews, sharing engineering best practices, and mentoring junior engineers. You will drive a shift-left culture — catching cost and efficiency problems early in the development cycle — by integrating efficiency checks directly into the developer workflow.

  • Automate the manual: Build the automation and AI/agentic tooling that detects waste, attributes cost, and remediates issues with minimal human intervention — turning repetitive cost operations into self-running systems.

What they're looking for

  • + years of experience, including producing high-quality production code and: detailed technical design documents for distributed systems.
  • Proven ability to break down complex, multi-month projects into actionable milestones and tasks.
  • Solid grasp of industry best practices for distributed systems (monitoring,: documentation, testing, and "fit and finish").
  • Experience in optimizing cloud resource utilization or developing large-scale distributed tools.