Lead the ML/AI platform across software, data engineering, and data science.
Collaborate with engineers, data scientists, and stakeholders to deliver ML solutions.
Build scalable, cloud-based, automated, distributed, fault-tolerant systems.
Create cloud infrastructure to scale systems and speed product development.
Conduct production readiness reviews and monitor capacity and reliability.
Own hiring plans and recruit/retain exceptional people.

🎯 Requirements

B.S. in Computer Science, Computer Engineering or related field.
5+ years experience as an individual contributor on an engineering team.
3+ years of experience with data infrastructure and cloud applications.
Experience deploying applications/tools into production environments.
Extensive experience with AWS (EC2, ECS, S3, Lambda, etc.).
Familiar with configuration management technologies (Terraform, Ansible, Chef, Puppet, CloudFormation, etc.).

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