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Experience Level
Senior
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Key Responsibilities:Develop resource management infrastructure that supports big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic manner. Design and implement scalable services and client libraries that efficiently handle large volumes of data across various cloud providers and geographic regions. Create tools that empower Databricks engineers to operate services seamlessly across multiple clouds and environments. Build products and infrastructure that intersect with machine learning and distributed systems. Requirements:Bachelor's degree in Computer Science or a related field.5+ years of production experience in Java, Scala, C++, or similar programming languages. Proven experience in developing large-scale distributed systems. Hands-on experience with SaaS platforms and Service-Oriented Architectures. Familiarity with cloud technologies such as AWS, Azure, GCP, Docker, or Kubernetes. Experience with security measures and systems handling sensitive data. Strong SQL proficiency.
About the job
Join Databricks as a Senior Backend Software Engineer and contribute to solving some of the world's most challenging problems. We empower data teams through our state-of-the-art data and AI infrastructure platform, enabling businesses to leverage deep data insights for transformative growth. At Databricks, founded by engineers and driven by a customer-first philosophy, we tackle technical challenges with enthusiasm — from designing next-gen UI/UX for data interfacing to scaling our services across millions of virtual machines.
In this role, you will collaborate closely with your team to develop scalable infrastructure and innovative products for the Databricks platform.
About Databricks
At Databricks, we are driven by a passion for innovation and excellence. Our mission is to empower data teams to tackle the most significant challenges of our time, whether it's revolutionizing transportation or accelerating medical advancements. We are dedicated to providing the world's most advanced data and AI infrastructure platform, ensuring our customers can harness deep data insights to enhance their operations. Join us on this exciting journey as we continue to push the boundaries of technology and data.
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Mar 27, 2026
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