Databricks: Staff Software Engineer (Infrastructure) — 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 (Infrastructure) in Bengaluru, India, under reference 7648674002. 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: 20 September 2024

Responsibilities and work described

• Our Infrastructure Backend teams span many domains across our essential service platforms
• For instance, you might work on challenges such as:
• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience
• Delivery: reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store

Essential requirements and candidate background

• BS (or higher) in Computer Science, or a related field
• 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language
• 6+ years experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures

Preferred experience and additional strengths

• Experience working on Infrastructure related projects is a plus

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 (Infrastructure) vacancy is not an offer for reference 7648674002; 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 7648674002.

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: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• C++
• Spark
• Kubernetes
• AWS
• Azure
• Excel
• machine learning