Senior Software Engineer - Multi Cloud Efficiency
Databricks · Posted Oct 17
Data, analytics, machine learning, and generative AI intelligence platform services
Get a personal compatibility score
Add a resume for personal matches
About the role
The Multi Cloud Efficiency (MCE) team manages infrastructure efficiency for one of the world's largest data and AI platforms, operating at massive scale across AWS, Azure, and GCP with a mission to ensure every dollar spent on cloud infrastructure is optimized. The team builds tools, frameworks, and automated systems that provide deep cost visibility and maximize resource utilization. As a Senior Software Engineer, you will own end-to-end design and delivery of cost attribution, automated resource management, and efficiency tooling that directly impacts infrastructure margins.
What you will 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.
Skills used in this role
What the employer is looking for
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
TipRanks
Databricks Looks to Boost Industrial Productivity in New AI Partnership2026-10-14
Databricks
Anthropic Claude Sonnet 5 now available as a Databricks-hosted model2026-10-07