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azure java aws python kubernetes📋 Description
- Design, engineer, and build SRE platforms used by engineering teams.
- Participate in livesite monitoring, escalations, and post-mortems.
- Improve availability, scalability, and performance across livesite systems.
- Ensure reliability and drive architectural changes for performance gains.
- Onboard teams to platforms by hands-on integration, not just docs.
- Ship early, iterate on feedback, and treat user input as design input.
🎯 Requirements
- 10+ years of architecting large-scale distributed applications.
- Internal platforms adopted by 10+ teams in a large company.
- Drive adoption by building integrations and removing friction, measuring outcomes.
- Experience building AI-powered applications in production.
- Proficiency in OO languages such as C#, C++, Java, or Python.
- Cloud and Kubernetes expertise with Azure, AWS, and GCP.
🎁 Benefits
- Flexible hybrid and onsite work options vary by team.
- Rolling applications with no fixed deadline.
- Inclusive, diverse workplace with equal opportunities.
- Reasonable accommodations available on request.
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