Senior Software Engineer - Multi Cloud Efficiency
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Maintainer signals as of 9/23/2026
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the end-to-end design and delivery of scalable systems for cloud cost attribution and resource management. You will optimize cloud infrastructure, own service lifecycles, collaborate on technical specifications, mentor engineers, and automate cost-efficiency operations.
Requirements
- 6+ years of experience producing production code and technical design documents for distributed systems.
- Ability to break down complex multi-month projects into actionable milestones and tasks.
- Knowledge of distributed-systems best practices, including monitoring, documentation, and testing.
- Experience optimizing cloud resource utilization or developing large-scale distributed tools.
- Ability to make trade-offs among system performance, development velocity, and technical debt.
Responsibilities
- Lead projects from concept through deployment.
- Design and build scalable systems for cost attribution and resource management.
- Identify and eliminate cloud-architecture inefficiencies.
- Own service lifecycles, code quality, monitoring, and operational overhead.
- Translate business needs into technical specifications with product and infrastructure teams.
- Mentor junior engineers and contribute to code reviews.
- Build automation and AI tooling to detect waste, attribute cost, and remediate issues.