Found.dev
Role Highlights
Languages used
Java
GO
C++
SCALA
Key skills
Computer Science
Distributed Systems
UI UX
Cloud Environments
AI
Infrastructure
Backend
Storage
Microservices
Optimization
Reliability
Security
PhD
SAAS
Tools, Libraries and Frameworks
DataBricks
AWS
Azure
GCP
MLFlow
Apache Spark
Ruby On Rails
Description
The role involves designing, building, and scaling distributed systems that support a large-scale data and AI infrastructure. Engineers will work on core backend services to ensure the platform operates effectively within sovereign and air-gapped cloud environments. Responsibilities include optimizing massive data storage layers and architecting low-latency microservices that function in disconnected regions. The position requires managing the end-to-end lifecycle of mission-critical code while solving complex architectural trade-offs regarding concurrency, storage, and networking. Additionally, the role focuses on driving compute efficiency and ensuring system resilience in high-consequence environments.
Required Qualifications and Skills
Candidates must possess a BS, MS, or PhD in Computer Science or a related field. The role requires at least nine years of professional software development experience with a deep understanding of distributed systems, concurrency, and performance optimization. Proficiency in at least one production-level language such as Java, Scala, Go, or C++ is mandatory. Furthermore, applicants must be eligible for a Top Secret or Sensitive Compartmented Information security clearance.
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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