Staff Software Engineer - Infrastructure

Cacheflow

Bengaluru

On-site

INR 3,000,000 - 7,000,000

Full time

14 days+
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Job summary

Databricks Bengaluru is expanding its Infrastructure Backend teams to tackle distributed systems, scalable service architectures, and monitoring challenges across cloud storage backends. The role involves delivering reliable, high-performance services and libraries as part of a data and AI platform.

You will contribute to pricing infrastructure with technologies like Scala, Kubernetes, and Apache Spark, enabling scalable data workflows.

Qualifications

  • BS in Computer Science or related field.
  • 12+ years of production experience in Python, Java, Scala, C++, or similar.
  • 6+ years building large-scale distributed systems from scratch.
  • Experience with SaaS platforms or service-oriented architectures.
  • Experience on infrastructure-related projects is a plus.

Responsibilities

  • Address challenges spanning product to infrastructure including distributed systems and monitoring.
  • Deliver reliable, high-performance services and client libraries for large data storage backends.
  • Build reliable, scalable services using Scala, Kubernetes and data pipelines to support pricing infrastructure.

Skills

Python
Java
Scala
C++
Distributed systems
SaaS
SOA
Infrastructure projects

Education

BS in CS

Job description

P-1346

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 14 new teams from scratch !

Backend (Infrastructure)

The impact you'll have:

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.
  • Deliver 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.
  • Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

What we look for:

  • 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
  • Experience working on Infrastructure related projects is a plus
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

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, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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