# Senior Software Engineer - Multi Cloud Efficiency

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Bengaluru, India
**Role:** Backend Engineering
**Experience:** 6+ years
**Skills:** Distributed Systems, AWS, Microsoft Azure, GCP, Cloud Optimization, Cost Attribution, Resource Management, Monitoring, Testing, Technical Design, Automation, Artificial Intelligence, Data Streams, Infrastructure
**Posted:** 2026-08-11

> Build and own scalable backend infrastructure that optimizes cloud resource utilization and cost attribution across AWS, Azure, and Google Cloud. The role requires 6+ years of distributed-systems engineering experience and strong system-design, optimization, and technical leadership skills.

## Job Description

## Responsibilities
- Lead projects from concept through deployment, designing and building scalable systems that handle high-volume data streams for cost attribution and resource management.
- Identify and eliminate inefficiencies in cloud architecture, reducing resource waste and improving attribution accuracy.
- Own the full lifecycle of services, including code quality, monitoring, and operational overhead.
- Collaborate with product and infrastructure teams to translate business needs into technical specifications.
- Build tooling that simplifies cloud economics for engineers and budget owners.
- Contribute to code reviews, share engineering best practices, and mentor junior engineers.
- Integrate cloud efficiency checks into developer workflows.
- Build automation and AI/agentic tooling to detect waste, attribute cost, and remediate issues.

## Requirements
- 6+ years of experience producing high-quality production code and detailed technical design documents for distributed systems.
- Ability to break down complex, multi-month projects into actionable milestones and tasks.
- Strong understanding of distributed-systems best practices, including monitoring, documentation, testing, and fit and finish.
- Experience 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
- Comprehensive benefits and perks are offered, with details varying by region.

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