Posted:
11/15/2024, 5:28:39 AM
Location(s):
Washington, United States ⋅ Seattle, Washington, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
DevOps & Infrastructure ⋅ Software Engineering
Pay:
$294/hr or $611,520 total comp
RDQ126R105
At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
About the team:
Our Platform Engineering team provides the core infrastructure that powers Databricks. This includes infrastructure for monitoring, observability, language support, runtime, application frameworks and developer platform. We are rebuilding our platform from the ground up to meet the growing needs of our business. We are looking for a Senior Staff Software Engineer to join this team, where you will have an outsized impact on the future of our infrastructure.
In this role, you spearhead our strategy, lead high-stakes projects with a long-term vision of our platform’s architecture and drive large-scale, high-impact initiatives that in turn power Databricks' ability to run some of the most critical data and AI solutions of the world. You will be a force multiplier, working with senior IC leadership across the company to help shape the future of Databricks. You will balance technical depth with strategic influence, and mentor the next generation of engineers. This is a unique opportunity to create lasting impact both within the engineering team and across the company.
The impact you will have:
What We Look For:
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Website: https://databricks.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 5001-10000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Series I
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning