Senior software engineer, multi-cloud efficiency, at Databricks in Bengaluru: backend infrastructure work making the Databricks platform efficient at scale across clouds.

This Bengaluru role was posted on 22 June 2026. The team builds platform infrastructure at scale, with this seat focused on optimizing cloud resource utilization and large-scale distributed tooling. The listing asks for 6+ years of experience including high-quality production code and detailed design docs for distributed systems, and the ability to break multi-month projects into milestones.

About Databricks

Databricks is the Data and AI company: its lakehouse platform unifies data engineering, analytics and machine learning, and per its listings more than 20,000 organizations - including adidas, AT&T, Bayer, Block, Mastercard, Rivian and Unilever, and 70% of the Fortune 500 - build on it. Learn more on Databricks' website.

The role in plain terms

You work with your team on backend infrastructure for the Databricks platform at scale, with a specific efficiency mandate: optimizing cloud resource utilization and building large-scale distributed tools. The listing names industry best practices for distributed systems - monitoring, documentation, testing and 'fit and finish' - and well-reasoned tradeoffs between performance, velocity and technical debt.

What you will do

Per the employer's listing, you will:

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.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

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.

Who this role suits

Backend infrastructure engineers with 6+ years on distributed systems, especially anyone with cloud cost/efficiency war stories - that is the core of the role. Strong fit for platform engineers at cloud-scale companies. Not for application developers without systems depth.

Practical notes

Bring a concrete efficiency result: a utilization or cost improvement you drove with numbers. Expect distributed systems design and a multi-month project breakdown exercise. Bengaluru location; posted 22 June and still open.

How to apply

Apply directly on the employer's site: Senior Software Engineer - Multi Cloud Efficiency at Databricks. We found this listing on the Greenhouse public job board (job-boards.greenhouse.io), where it was posted on 22 Jun 2026 and was still open when we checked on 31 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

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