Related skills
bigquery sql python kubernetes airflow📋 Description
- Build and maintain critical services on BrazeAI platform
- Implement cloud-native solutions with reliability, scalability, and fault tolerance
- Troubleshoot production incidents end-to-end and root-cause fixes
- Contribute to observability using Sentry and Datadog to minimize downtime
- Collaborate with data scientists and ML engineers to translate use cases
- Improve developer experience by streamlining workflows and tooling
🎯 Requirements
- 2-4 years of experience in platform engineering, infrastructure, or backend
- Solid understanding of platform architecture in ML or data-intensive environments
- Hands-on experience with Kubernetes and cloud infrastructure (GCP preferred)
- Ability to troubleshoot complex distributed systems under pressure
- Writes clean, modular code with testable APIs and maintainable design
- Experience working with AI coding assistants; understands prompting strategies
- Clear communicator across technical and non-technical stakeholders
🎁 Benefits
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services including fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly stipend
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