Sr. Staff Software Engineer, Observability
Databricks(8 days ago)
About this role
A Software Engineer on the Observability team at Databricks builds observability solutions and platforms to provide insights into product and infrastructure health and performance. The role focuses on operating and scaling monitoring for billions of time series, processing petabytes of logs, and managing infrastructure across many cloud regions. It also involves raising monitoring and reliability standards across engineering and mentoring other engineers.
Required Skills
- Observability
- Time Series
- Log Processing
- Metrics
- Monitoring
- Distributed Systems
- Cloud
- Kubernetes
- Docker
- Go
+8 more
Qualifications
- BS in Computer Science or related field
About Databricks
databricks.comDatabricks is a unified Data Intelligence Platform that helps organizations build, deploy, and manage data, analytics, and AI at scale. Built on Apache Spark and Delta Lake, it provides a “lakehouse” architecture that combines data engineering, ETL, data warehousing, streaming, and machine learning (including MLflow and feature store) in a single managed service. The platform includes collaborative notebooks, scalable compute across major clouds, and built‑in governance, security, and performance optimizations. Enterprises use Databricks to simplify data pipelines, accelerate model development with a data‑centric approach, and operationalize analytics and AI.
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