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...
Software Engineering • Senior
Skills & Technologies
Overview
Databricks is hiring a Senior Software Engineer to build scalable systems for their infrastructure platform. You'll work with Kubernetes, CI/CD, and Big Data technologies. This position requires significant experience in distributed systems.
Job Description
Who you are
You have 5+ years of experience in software engineering, particularly in building scalable systems and infrastructure. Your background includes working with distributed systems and cloud technologies, allowing you to tackle complex technical challenges effectively.
You possess deep expertise in Kubernetes and CI/CD practices, having implemented these in previous roles to enhance system reliability and performance. Your familiarity with API design and development enables you to create robust interfaces for various applications.
You are skilled in using tools like Bazel for building and testing software, and you understand the intricacies of managing large-scale data workloads. Your experience with Big Data technologies equips you to handle petabytes of data efficiently.
You thrive in collaborative environments, working closely with cross-functional teams to deliver high-quality solutions. Your problem-solving skills and attention to detail ensure that you can navigate the complexities of infrastructure development.
Desirable
Experience with multi-cloud systems is a plus, as it allows you to architect solutions that are flexible and scalable across different platforms. Familiarity with network security and encryption practices will further enhance your contributions to the team.
What you'll do
As a Senior Software Engineer on the Infrastructure team, you will be responsible for building and extending the core Databricks infrastructure. This includes architecting multi-cloud systems that support the Databricks platform and enable it to run efficiently on existing cloud services.
You will work on managing thousands of Kubernetes clusters at scale, ensuring that the infrastructure is robust and can handle high volumes of data processing. Your role will involve developing highly scalable and distributed API gateways, implementing rate limiting frameworks, and enhancing network security measures.
You will also contribute to the development of developer tools and infrastructure, utilizing your expertise in CI/CD frameworks to streamline deployment processes. Your work will directly impact the performance and reliability of the Databricks platform, making it the go-to solution for Big Data and AI workloads.
Collaboration with product teams will be essential as you gather requirements and translate them into technical specifications. You will participate in code reviews, mentor junior engineers, and contribute to the overall engineering culture at Databricks.
What we offer
At Databricks, you will be part of a team that is dedicated to solving the world's toughest problems through data and AI. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. Our culture emphasizes collaboration, innovation, and a commitment to excellence in everything we do.
Join us in building the future of data infrastructure and make a significant impact on how organizations leverage data to drive their success.
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