Databricks: Senior Software Engineer - Multi Cloud Efficiency — Bengaluru, India
Databricks lists a Senior Software Engineer - Multi Cloud Efficiency opening in Bengaluru, India. The job description covers AWS, Azure, Google Cloud, Excel, AI, compliance, stakeholder management.
Recruitment overview
| Organisation | Databricks |
|---|---|
| Post / role | Senior Software Engineer - Multi Cloud Efficiency |
| Department | Engineering - Pipeline |
| Employment type | Not specified |
| Notification / job ID | 8602402002 |
| Job location | Bengaluru, India |
| Work arrangement | Not specified |
| Educational qualification | See the employer’s role-specific qualification criteria |
| Experience required | 6+ years of experience, including producing high-quality production code and detailed technical design documents for distributed systems |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
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 Senior Software Engineer - Multi Cloud Efficiency in Bengaluru, India, under reference 8602402002. 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
- End-to-End System Design: Lead projects from concept to deployment
- 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
- 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
- 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
- Development: 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
- 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
Essential requirements and candidate background
- 6+ years of experience, including 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
- Grasp of industry best practices for distributed systems (monitoring, documentation, testing, and "fit and finish")
- Experience: optimizing cloud resource utilization or developing large-scale distributed tools
- Make well-reasoned trade-offs between system performance, development velocity, and technical debt
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
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Senior Software Engineer - Multi Cloud Efficiency vacancy is not an offer for reference 8602402002; 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 8602402002.
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: AWS
For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.
Relevant skills
- AI/ML
- AWS
- Azure
- Google Cloud
- Excel
- AI
- compliance
- stakeholder management
Important links
| Official notification / job description | Open official page |
|---|
Read the complete official notice before applying. Availability and requirements can change.
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