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aws lambda s3 python mlops📋 Description
- Maintain and extend an AI platform already in production
- Handle backend, data engineering, DevOps, and infra work
- Translate requirements into technical decisions independently
- Collaborate with internal stakeholders and consumer teams
- Establish and maintain engineering best practices for the platform
- Be the first line of defense for technical issues
🎯 Requirements
- 6+ years of hands-on engineering with production systems
- Generalist across backend, data pipelines, and cloud infra
- Strong Python skills and software fundamentals
- Hands-on AWS: Lambda, S3, SageMaker, Bedrock, ECR
- Data engineering, pipelines, storage, and processing at scale
- Autonomous, self-directed worker; US-based due to compliance
🎁 Benefits
- Full ownership of a production AI platform
- Remote-first, flexible work environment
- Annual performance bonus
- Health, dental, vision, 401(k) with company match, unlimited PTO
- Long-term engagement beyond the initial project
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