Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, CA
  • Valuation of $43 billion with $3.5 billion raised
  • Serves over 7,000 customers including Comcast and Shell
  • Utilizes Apache Spark for big data processing

Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...

🎁 Benefits

Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...

🌟 Culture

Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

Databricks

Backend Engineer Senior

DatabricksNew York City - On-Site

Posted 1d ago🏛️ On-SiteSeniorBackend Engineer📍 New York City💰 $165,300 - $219,675 / yearly
Apply Now →

Overview

Databricks is hiring a Senior Backend Engineer to build infrastructure that powers their AI platform. You'll work with technologies like Java, Python, and Apache Spark to improve the reliability and efficiency of distributed AI workloads. This position requires significant experience in backend engineering.

Job Description

Who you are

You have 5+ years of backend engineering experience building scalable systems — you've designed and implemented distributed systems that handle complex workloads and understand the intricacies of performance optimization. Your expertise in Java and Python allows you to develop robust backend solutions that meet the demands of modern AI applications.

You are familiar with Apache Spark and MLflow, having used these tools to manage data workflows and machine learning models effectively. Your experience with Kubernetes demonstrates your ability to deploy and manage containerized applications in a cloud environment, ensuring high availability and scalability.

You possess strong problem-solving skills and can navigate technical challenges with ease — whether it's debugging complex issues or optimizing system performance, you approach problems methodically and creatively. Your collaborative spirit enables you to work effectively with cross-functional teams, including data scientists and product managers, to deliver impactful solutions.

What you'll do

As a Senior Backend Engineer at Databricks, you will build the infrastructure that powers our flagship offerings, including MLflow and the AI Gateway. Your role will involve improving the reliability, latency, and efficiency of distributed AI workloads, ensuring that our platform can handle the demands of our growing customer base.

You will collaborate closely with platform, infrastructure, and machine learning teams to design and implement backend services that support various AI applications. Your contributions will directly impact the performance and scalability of our systems, allowing customers to leverage deep data insights effectively.

You will also participate in code reviews and mentor junior engineers, sharing your knowledge and best practices to foster a culture of continuous improvement within the team. Your insights will help shape the technical direction of our projects, ensuring that we remain at the forefront of AI infrastructure development.

What we offer

At Databricks, we offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will be part of a dynamic team that is passionate about solving real-world problems through innovative technology. Join us in building the future of AI infrastructure and make a meaningful impact in the industry.

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