Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

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...

Databricks

Software Engineering Senior

DatabricksMountain View - On-Site

Posted 1d ago🏛️ On-SiteSeniorSoftware Engineering📍 Mountain View💰 $235,000 - $295,000 / yearly
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Overview

Databricks is hiring a Senior 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, and manage infrastructure across multiple cloud regions.

Job Description

Who you are

You have 5+ years of experience in software engineering, particularly in building observability solutions that enhance system performance and reliability. Your expertise in Java and Python allows you to develop scalable applications that can handle vast amounts of data, and you are familiar with cloud infrastructure, particularly AWS. You understand the importance of observability in large-scale systems and have experience working with monitoring tools like Grafana and Prometheus.

You are a problem solver who thrives in complex environments, capable of diagnosing issues quickly and effectively. Your strong communication skills enable you to collaborate with cross-functional teams, ensuring that all stakeholders are aligned on project goals and timelines. You are passionate about leveraging data to drive decisions and improve system reliability.

Desirable

Experience with Elasticsearch is a plus, as it complements your skills in managing and analyzing large datasets. Familiarity with incident management workflows and tools will help you excel in this role, as you will be responsible for developing advanced workflows that accelerate incident diagnosis.

What you'll do

As a Senior Staff Software Engineer on the Observability team, you will be responsible for building the next generation of observability platforms that support billions of active time series and process petabytes of logs daily. You will manage infrastructure across nearly a hundred cloud regions, enabling all Databricks engineers and customers to monitor the reliability of our product. Your role will involve designing and implementing observability solutions that provide insights into the health and performance of our products and infrastructure.

You will collaborate closely with other engineering teams to ensure that observability is integrated into the development lifecycle. This includes defining metrics, setting up monitoring and alerting systems, and developing dashboards that provide real-time insights into system performance. You will also play a key role in incident response, helping to diagnose and resolve issues as they arise.

What we offer

At Databricks, you will be part of a 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 work in a collaborative environment where your contributions will have a direct impact on our customers' success. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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