Staff Platform Engineer
Core
Designing and implementing CI/CD pipelines, managing production support and monitoring, and optimizing AI/ML infrastructure for large-scale research data ecosystems.
Role type
Staff Platform Engineer (DevOps)
Builds
Hybrid cloud architecture on-premises and in commercial cloud providers (Amazon, Google, Microsoft) supporting translational data science research.
Domain
Academic research, biology, medicine, healthcare, environment, cloud infrastructure, AI/ML.
Deliverable
production ML models | infrastructure
Required skills
CI/CD design, production monitoring, security automation, hybrid cloud architecture, GPU resource management, AWS cloud services (Bedrock, SageMaker), model inference deployment, technical leadership, mentoring.
Preferred skills
Advanced degree in CS/math/stats/engineering, 6+ years DevOps experience, scripting (Bash/Python), Unix/Linux administration, OpenStack, AWS EC2/S3, configuration management (Chef/Puppet/Ansible), load balancing (F5/Nginx), container deployment (Docker/Kubernetes), log aggregation (ELK/Splunk), security frameworks (FISMA/NIST/FIPS), Agile methodologies.
Technologies
AWS, Google Cloud, Microsoft Azure, OpenStack, Bedrock, SageMaker, Chef, Puppet, Ansible, F5, Nginx, Docker, Kubernetes, ELK stack, Splunk, Git, Jenkins, SVN.
Responsibilities
Design and implement top priority technical tasks; participate in complex design and implementation activities; provide technical leadership and mentor interns/junior members; act as a technical consultant for faculty research and administrative projects; negotiate complex decisions and advocate for optimal technical solutions.
Seniority
Staff, hands-on IC with significant scope and mentorship responsibilities.