Posted by employer 3 years ago
First seen on Joblaze 6 months ago
Last verified on the company career page 2 hours ago
Requirements
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In this role, the Senior Software Engineer focuses on developing scalable backend infrastructure and products for the Databricks platform, tackling challenges across various domains such as serverless architecture and machine learning. Proficiency in languages like Java, Scala, or Golang, along with experience in large-scale distributed systems and cloud technologies, is essential. This position is ideal for seasoned engineers with a strong background in SaaS platforms and service-oriented architectures. Databricks emphasizes a collaborative environment, driven by a commitment to innovation and customer-centric solutions.
Joblaze insights
Quick facts
From the original posting
P-939
(Position Location is open to both our Seattle & Bellevue offices.)
At Databricks, we are passionate about enabling data teams to 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.
The impact you'll have:
As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. Our backend teams span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure.
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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 the expected 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 anticipates utilizing 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
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