Related skills
aws kubernetes airflow kafka icebergπ Description
- Design, build, and operate data infrastructure platforms (lakehouse, replication, orchestration)
- Ensure availability, scalability, and performance of platform services
- Contribute to infrastructure architecture decisions for large-scale data platforms
- Partner with engineering, analytics, and product teams for adoption/migration
- Drive developer productivity via automation, tooling, and AI workflows
- Participate in on-call rotations and troubleshoot complex production issues
π― Requirements
- 5+ years in infrastructure, platform, or data engineering
- Hands-on with AWS, Kubernetes, distributed systems
- Experience with lakehouse, data replication, and orchestration
- Experience with AI tools such as Claude Code and GitHub Copilot
- Strong communication and cross-functional collaboration
- Documentation and runbooks to support platform reliability
π Benefits
- Competitive year-end bonus and equity package
- Full medical, dental, and vision coverage
- Flexible vacation policy
- Pet discount plans and 401K retirement plan
- Opportunity to work with sharp, motivated teammates
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest β finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!