Found.dev
Role Highlights
Languages used
Java
SCALA
C++
Key skills
Anomaly Detection
Machine Learning
Computer Science
CICD
QA
Distributed Systems
Data Quality
UI UX
Generative AI
Infrastructure
Reliability
PhD
Security
Cloud
Tools, Libraries and Frameworks
DataBricks
AWS
Azure
GCP
Docker
Kubernetes
MLFlow
Apache Spark
Description
The role involves building and maintaining core infrastructure components for the Money team, specifically focusing on resource admission control and usage governance. The engineer will own systems that govern the usage of various products and offerings to ensure reliable product availability at scale. Responsibilities include enhancing engineering efficiency, reliability, and accuracy through the development of test frameworks, data quality assurance, and anomaly detection. The position requires collaborating with platform and product teams to implement infrastructure that meets evolving business needs. Additionally, the role involves providing leadership in long-term vision development and representing the organization at industry events.
Required Qualifications and Skills
Candidates must possess a BS, MS, or PhD in Computer Science or a related field. A minimum of 12 years of production-level experience in Java, Scala, or C++ is required. Applicants must demonstrate a proven track record in architecting, developing, and operating large-scale distributed systems. Furthermore, the role requires experience with software security, systems handling sensitive data, and cloud technologies such as AWS, Azure, GCP, Docker, and Kubernetes.
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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