Sr. Engineering Manager - Serverful Compute

at  Databricks

Mountain View, California, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate23 Aug, 2024USD 300000 Annual25 May, 20245 year(s) or aboveGood communication skillsNoNo
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Description:

P-932
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.
If you are looking for an unparalleled opportunity to build the next generation data processing platform, serving modern data engineering and AI use cases over millions of VMs launched daily, and learn how to do this at scale with reliability, efficiency, and excellent customer experience – you have come to the right place. The platform team builds and manages the core systems powering Databricks, allowing it to seamlessly scale and run across various geographic regions/clouds, and making Databricks the go-to product for big data processing in the cloud.
As an Engineering Manager on the Platform team at Databricks, you will lead your team to build an available, scalable and reliable platform that is necessary to the business. You will be responsible for delivery of products and features shipped by your team. You will work with engineers and customers to help ensure that we continue to build excellent products with new and improved features.
We manage some of the largest scale software systems on the planet. The teams lead the Cloud revolution, building scalable multi cloud infrastructure and distributed systems to launch millions of virtual machines a day, generating terabytes of logs and processing exabytes of data every day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. You will report to the Director of Engineering.

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.

Responsibilities:


REQUIREMENT SUMMARY

Min:5.0Max:10.0 year(s)

Information Technology/IT

IT Software - Other

Other

Graduate

Proficient

1

Mountain View, CA, USA