Databricks: Staff Software Engineer - Multi Cloud Efficiency — Bengaluru, India

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Staff Software Engineer - Multi Cloud Efficiency in Bengaluru, India, under reference 8593107002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Engineering - Pipeline
• Employer listing date: 22 June 2026

Responsibilities and work described

• Architecture: at Scale: Lead the design and implementation of systems to optimize cloud spend, driving impact in the magnitude of hundreds of millions of dollars
• Architecture: solutions for complex problems like reserved-instance automation, tag-based cost attribution at scale, automated waste-cleanup policy engines, and cross-cloud resource governance
• Drive Technical Strategy: Identify and deliver high-impact, well-adopted projects that solve complex efficiency problems
• Define the roadmap for our efficiency pillar, conducting thorough design reviews and risk assessments for systems supporting the company's core infrastructure
• Engineer for Efficiency: Design scalable systems for regression detection and automated resource rightsizing
• Operational Excellence: Serve as a technical authority for incident management, addressing complex, system-wide performance issues
• Improvement: the stability and reliability of our internal platform tools, ensuring they are robust enough to manage our growing global scale
• Technical Leadership: Act as a force multiplier by mentoring junior and senior engineers, raising the bar for engineering quality, and driving engineering culture across the organization

Essential requirements and candidate background

• 9+ years of experience building production-grade, distributed systems in Java, Scala, C++, or Go
• Track record of architecting solutions for large-scale infrastructure, cloud computing (AWS/Azure/GCP), and container orchestration (Kubernetes/Docker)
• Deep expertise in identifying and solving performance bottlenecks in high-throughput, distributed environments
• Drive technical requirements for ambiguous problems where the path forward is not obvious
• T-shaped engineering skills: depth in distributed systems and breadth across cloud infrastructure, monitoring, and software lifecycles

Location, schedule and contract conditions

• Advertised location: Bengaluru, India

Benefits mentioned by the employer

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• For specific details on the benefits offered in your region click here

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Staff Software Engineer - Multi Cloud Efficiency vacancy is not an offer for reference 8593107002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8593107002.

Compare your qualifications and experience with the essential conditions for the Bengaluru, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Java

For Java experience, describe the application or service you worked on, its purpose and your own contribution. A useful example connects language knowledge to an actual engineering decision, such as an interface design, a performance issue or a production defect.

Relevant skills

• Java
• C++
• Kubernetes
• Docker
• AWS
• GCP
• Azure
• AI/ML
• Google Cloud
• Excel