Senior Software Engineer - Multi Cloud Efficiency

Навыки

• Атрибуция
• AWS
• Azure
• Data Lake
• Распределённые системы
• Google Cloud
• Ответственность за результат

О компании и продукте

• We manage the infrastructure efficiency for one of the world's largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We are looking for engineers to help us engineer systems that optimize our footprint as we scale into the hundreds of millions of dollars in cloud spend.
• As a Senior Software Engineer, you will own the end-to-end design and delivery of high-impact engineering projects. You will act as a primary owner of key system components, handling technical ambiguity, collaborating with stakeholders, and delivering robust, scalable solutions. Your work will directly impact our infrastructure margins by building the next generation of cost attribution, automated resource management, and efficiency tooling.
• 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 .

Задачи

• 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

Требования

• 6+ 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
• Ability to make well-reasoned trade-offs between system performance, development velocity, and technical debt

Условия

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

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