Software Engineering • Senior

Who you are

5+ years of software engineering experience with a focus on data infrastructure — you've developed systems that handle large-scale data processing and understand the complexities of optimizing performance for AI workloads. You have a strong background in programming languages such as Python and Java, and you're familiar with cloud technologies like AWS.

You possess deep knowledge of containerization and orchestration tools, particularly Docker and Kubernetes, which you've used to deploy scalable applications across multiple cloud regions. Your experience with big data technologies, such as Apache Spark, allows you to design efficient data pipelines that process billions of entries daily.

You are a collaborative team player who enjoys working closely with product development teams to refine requirements and ensure successful product milestones. Your strong problem-solving skills enable you to tackle technical challenges effectively, and you thrive in environments that require continuous iteration and improvement.

Desirable

Experience with observability tools and practices is a plus, as is familiarity with DevOps, FinOps, SecOps, and AIOps methodologies. You are comfortable working in a fast-paced environment and are eager to learn and adapt to new technologies and practices.

What you'll do

As a Senior Software Engineer on the Customer Foresight Team, you will lead the development of innovative products that help customers gain insights into their AI and data workloads. You will be responsible for building and maintaining data infrastructure that supports high-volume data processing and analytics. Your role will involve collaborating with cross-functional teams to define product requirements and ensure that the solutions you develop meet customer needs.

You will design and implement systems that simplify the process of answering complex questions about data performance and cost optimization. Your work will directly impact some of the world's largest companies, enabling them to leverage deep data insights for better decision-making. You will also be involved in deploying solutions across over 65 cloud regions, ensuring that they are robust and scalable.

In addition to your technical responsibilities, you will mentor junior engineers and contribute to the overall growth of the engineering team. You will participate in code reviews, share best practices, and help foster a culture of continuous learning and improvement within the team.

What we offer

At Databricks, you will be part of a dynamic team that is dedicated to solving some of the toughest problems in the data and AI space. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in an inclusive environment that values diversity and encourages collaboration across teams. Join us in our mission to empower data teams to achieve their goals and make a meaningful impact in their industries.