Staff Data Platform Engineer
San Francisco, California, United States
USD 190K-240K Senior-level Full Time
Tasks
- Build meaningful alerting
- Collaborate with data scientists, engineers, and product managers
- Define deployment and change management SOPs
- Enforce environment promotion discipline
- Identify and remediate reliability risks
- Instrument and monitor platform health
- Own data platform reliability and availability
- Participate in architecture and deployment discussions
- Support internal and customer facing systems with stability focus
Perks/Benefits
- 401k
- Commuter benefits
- Continued education benefit
- FSA
- Health insurance
- Hybrid work
- Sick days
- Unlimited PTO
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache DataDog | Apache Flink | Apache Kafka | Apache Spark | Auto Scaling | Bash | Blue-Green Deployment | Blue/green | ClickHouse | Cloud platform | Cron | DNS | Databricks | Docker | Elasticsearch | Google Cloud | Google Cloud Platform | Helm | Infrastructure as Code | Kibana | Kubernetes | Least Privilege | Linux | Load Balancing | Microsoft Azure | Multi-region | PostgreSQL | Prometheus | PySpark | Python | Redshift | Secrets management | Terraform | Web Services | “as-code”
Education
N/A
Regions
Countries
States
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