
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 Staff Software Engineer for their Observability team to develop solutions that provide insights into product health and performance. You'll work with technologies like Java and Python, focusing on AWS and observability tools. This position requires significant experience in software engineering.
Job Description
Who you are
You have 5+ years of experience in software engineering, with a strong background in building scalable systems. Your expertise in Java and Python allows you to develop robust applications that handle large volumes of data. You are familiar with cloud infrastructure, particularly AWS, and understand how to leverage it for observability solutions. You have experience with monitoring tools such as Grafana and Prometheus, enabling you to create effective dashboards and alerts. Your problem-solving skills are top-notch, and you thrive in environments where you can analyze complex systems and improve their reliability. You are a team player who enjoys collaborating with cross-functional teams to deliver high-quality software solutions.
Desirable
Experience with Elasticsearch is a plus, as it will help you in building efficient search and analytics capabilities for observability data. Familiarity with incident management processes and tools will also be beneficial in this role.
What you'll do
In this role, you will be responsible for developing observability solutions that provide insights into the health and performance of Databricks' products and infrastructure. You will build the next generation of observability platforms that support billions of active time series and process petabytes of logs daily. Managing infrastructure across nearly a hundred cloud regions will be part of your responsibilities, ensuring that all Databricks engineers and customers can monitor the reliability of our product. You will work closely with other engineering teams to identify and resolve performance issues, enhancing the overall user experience. Your contributions will directly impact the reliability and efficiency of our services, making a significant difference for our customers.
What we offer
At Databricks, you will be part of a dynamic team that is at the forefront of data and AI technology. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have the chance to work on challenging problems that have a real-world impact, contributing to the advancement of data infrastructure. Our culture promotes collaboration and innovation, and we encourage you to apply even if your experience doesn't match every requirement. Join us in our mission to empower data teams to solve the world's toughest problems.
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