
About Databricks
Empowering data teams with unified analytics
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...
Skills & Technologies
Overview
Databricks is hiring a Senior Backend Engineer to build infrastructure for AI/ML environments. You'll work with Python and machine learning technologies to enable users to configure training and serving environments. This position requires significant experience in backend engineering.
Job Description
Who you are
You have 5+ years of backend engineering experience, particularly in building scalable systems that support AI and machine learning applications. Your expertise in Python and familiarity with machine learning frameworks enable you to tackle complex technical challenges effectively. You understand the intricacies of deploying and managing AI infrastructure, ensuring reliability and performance.
You are proficient in containerization and orchestration technologies such as Docker and Kubernetes, which are essential for creating reproducible environments for machine learning workflows. Your collaborative spirit allows you to work closely with cross-functional teams, including AI researchers and product managers, to deliver impactful solutions.
What you'll do
As a Senior Backend Engineer at Databricks, you will be responsible for building and enhancing the infrastructure that supports machine learning and AI environments. You will collaborate with other teams to develop features that improve the user experience on the Databricks platform, focusing on performance and reliability. Your role will involve designing systems that allow users to easily configure their training and serving environments, ensuring they can leverage the full potential of AI technologies.
You will also engage in code reviews and mentor junior engineers, sharing your knowledge and best practices to foster a culture of continuous improvement within the team. Your contributions will directly impact the success of Databricks Mosaic AI, helping customers democratize AI within their organizations.
What we offer
At Databricks, you will be part of a dynamic team that is at the forefront of AI infrastructure development. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to empower data and AI teams to solve the world's toughest problems.
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