Found.dev
Role Highlights
Languages used
GO
Python
Java
SCALA
Rust
C++
Key skills
Time Series
Computer Science
Distributed Systems
AI
Infrastructure
Security
Cloud
Reliability
TroubleShooting
Tools, Libraries and Frameworks
DataBricks
AWS
Azure
GCP
Docker
Kubernetes
MLFlow
Apache Spark
Description
The role involves developing observability solutions to provide insights into the health and performance of products and infrastructure. The engineer will build platforms capable of supporting billions of active time series and processing petabytes of logs daily. Responsibilities include managing infrastructure across numerous cloud regions to ensure product reliability. The position requires creating advanced workflows to accelerate incident diagnosis and troubleshooting. Additionally, the role involves establishing standards for logs, metrics, alerts, and dashboards while mentoring other engineers to foster technical excellence.
Required Qualifications and Skills
Candidates must possess a Bachelor of Science degree or higher in Computer Science or a related field. Applicants are required to have at least seven years of production-level experience in programming languages such as Go, Python, Java, Scala, Rust, or C++. The role necessitates experience in software development within large-scale distributed systems and the ability to drive projects involving multiple teams. Furthermore, proficiency in cloud technologies like AWS, Azure, GCP, Docker, or Kubernetes is required, along with familiarity with observability infrastructure and reliability practices.
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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