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...
Backend Engineer • Senior
Skills & Technologies
Overview
Databricks is hiring a Senior Backend Engineer to build scalable infrastructure and products for their data and AI platform. You'll work with technologies like Java, Scala, and Apache Spark in Mountain View. This position requires strong experience in backend engineering and cloud services.
Job Description
Who you are
You have 5+ years of backend engineering experience building scalable systems — you've tackled complex challenges in distributed systems and understand the intricacies of resource management in cloud environments. Your expertise in Java and Scala allows you to develop high-performance services that handle massive data workloads efficiently.
You are familiar with containerization and orchestration technologies like Docker and Kubernetes — you know how to deploy applications across various cloud providers while ensuring reliability and security. Your experience with Apache Spark enables you to work effectively with big data processing and machine learning workloads.
You possess strong problem-solving skills and can navigate technical challenges with ease — your ability to collaborate with cross-functional teams ensures that you can translate complex requirements into actionable solutions. You are committed to writing clean, maintainable code and understand the importance of testing and documentation in the software development lifecycle.
Desirable
Experience with cloud platforms such as AWS or Azure is a plus — you understand the nuances of cloud-native architectures and can leverage cloud services to enhance application performance. Familiarity with CI/CD practices and tools will help you streamline deployment processes and improve team efficiency.
What you'll do
As a Senior Backend Engineer at Databricks, you will design and implement scalable backend services that power our data and AI infrastructure — your work will directly impact how data teams solve complex problems across various industries. You will collaborate with product managers and engineers to define technical requirements and ensure that our services meet the highest standards of performance and reliability.
You will be responsible for developing client libraries and tools that facilitate the operation of Databricks services across different cloud environments — your contributions will help improve the developer experience and enhance the capabilities of our platform. You will also engage in code reviews and mentor junior engineers, fostering a culture of learning and collaboration within the team.
Your role will involve working on resource management infrastructure that supports big data and machine learning workloads — you will tackle challenges related to scalability, security, and cloud-agnostic solutions. You will have the opportunity to work on cutting-edge technologies and contribute to the evolution of our platform as we continue to innovate in the data and AI space.
What we offer
At Databricks, we offer a dynamic work environment where you can grow your skills and make a meaningful impact — our team is composed of talented individuals who are passionate about technology and data. We provide competitive compensation and benefits, including opportunities for professional development and career advancement.
Join us in our mission to empower data teams and drive innovation — your work will help shape the future of data and AI infrastructure, enabling organizations to unlock the full potential of their data.
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