Found.dev
Role Highlights
Languages used
SCALA
Python
Java
C++
Key skills
Machine Learning
Computer Science
Distributed Systems
UI UX
Generative AI
Infrastructure
Backend
Architecture
Cloud
Storage
SAAS
Tools, Libraries and Frameworks
AWS S3
DataBricks
Azure
Kubernetes
MLFlow
Apache Spark
Description
The role involves working within infrastructure backend teams to address complex technical challenges. Responsibilities include developing distributed systems and designing service architectures at scale. The engineer will build reliable services for storing and accessing large volumes of data on cloud storage platforms. Additionally, the position requires creating data pipelines and developing features that allow customers to monitor and manage platform usage. The work focuses on maintaining high-performance service platforms and improving developer experiences.
Required Qualifications and Skills
Candidates must hold a Bachelor of Science degree or higher in Computer Science or a related field. The role requires at least 12 years of production-level experience in Python, Java, Scala, or C++. Applicants must possess a minimum of 6 years of experience in developing large-scale distributed systems from scratch. Furthermore, experience working on a SaaS platform or with service-oriented architectures is required.
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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