Found.dev
Role Highlights
Languages used
Python
Java
SCALA
C++
Key skills
Product Management
Distributed Systems
AI
Infrastructure
Security
Cloud
Backend
Operations
SAAS
Tools, Libraries and Frameworks
DataBricks
MLFlow
Apache Spark
Description
The role involves building new backend connectivity services that support millions of virtual machines. The individual will lead the design and development of services that manage connectivity between the control plane and the compute plane. This work focuses on increasing the scalability of the compute plane while optimizing cloud resource usage. The position requires collaboration with cross-functional teams including product management and operations to deliver robust networking systems. The engineer will address multi-cloud and distributed systems challenges within a new team environment.
Required Qualifications and Skills
Candidates must possess at least 12 years of production-level experience in Python, Java, Scala, or C++. A minimum of 7 years of experience developing large-scale distributed systems from scratch is required. Applicants must have professional experience working on SaaS platforms or with Service-Oriented Architectures. Additionally, extensive experience within the networking domain is necessary for this role.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Databricks
Size
8632
HQ
San Francisco, US
Public/Private
Privately HeldDescription
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. --- Attention: Databricks applicants Due to reports of phishing, were requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
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