
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 for their AI Platform team to build infrastructure that powers data and AI applications. You'll work with technologies like Java, Python, and Apache Spark. This position requires 5+ years of backend engineering experience.
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 data workloads and understand the intricacies of performance optimization. Your expertise in Java and Python allows you to develop robust backend services that support AI applications and data processing. You are familiar with Apache Spark and MLflow, enabling you to contribute to machine learning workflows effectively. You thrive in collaborative environments, working closely with cross-functional teams to deliver high-quality solutions. Your problem-solving skills are top-notch, and you enjoy tackling technical challenges head-on.
What you'll do
As a Senior Backend Engineer on the AI Platform team, you will build the infrastructure that powers Databricks' flagship offerings, including MLflow and AI Gateway. You will improve the reliability, latency, and efficiency of distributed AI workloads, ensuring that our customers can leverage deep data insights effectively. Collaborating with platform, infrastructure, and machine learning teams, you will design and implement scalable backend services that meet the demands of our growing user base. Your role will involve optimizing existing systems and contributing to the development of new features that enhance our AI capabilities. You will also mentor junior engineers, sharing your knowledge and expertise to foster a culture of learning and growth within the team.
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, including opportunities for professional development and career advancement. You will work in a collaborative environment that values innovation and creativity, allowing you to make a significant impact on the future of data and AI technologies.
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