Consortium Cloud Engineer

JOB SUMMARY:

This role involves designing, deploying, and maintaining cloud infrastructure and services to support consortium-wide initiatives. The Cloud Engineer will work closely with the Director of Operations at RIMR AMD Consortium to build scalable, secure, and efficient cloud-based solutions that support data storage, processing, and collaborative research workflows.

DUTIES AND RESPONSIBILITIES:

Primary Responsibilities: (Percent of time 100%)

• Cloud Architecture & Infrastructure

• Design and manage secure, compliant AWS environments
• Build scalable GPU-enabled ML pipelines (EC2, EKS, SageMaker, Batch)
• Familiarity with AWS IAM, EC2, Workspaces, S3, Lambda
• Optimize compute, storage, and networking costs
• Manage large-scale imaging datasets in S3 with lifecycle policies and access controls
• Provide AWS support to international partners

• Machine Learning & Data Science Systems

• Deploy and manage deep learning training pipelines (PyTorch / TensorFlow)
• Build distributed training environments (multi-GPU / multi-node)
• Familiarity with packaging models such as MONAI bundle
• Optimize model training performance and GPU utilization
• Implement data versioning and experiment tracking (MLflow, Weights & Biases, etc.)

• Computer Vision & Medical Imaging

• Support preprocessing pipelines for large-scale imaging datasets
• Work with DICOM, OCT volumes, fundus photography, and multimodal image data
• Implement or support segmentation, classification, self-supervised, and representation learning models.

• Security & Compliance

• Implement IAM best practices
• Maintain secure data access for sensitive datasets
• Work with institutional IT and compliance teams

• Collaboration

• Partner with clinician-scientists, data scientists, and software engineers
• Translate research requirements into scalable cloud architecture

Ongoing Responsibilities:

• Work in collaborative manner with others to accomplish goals of DEI and the program(s) assigned to support. (Percent of time: Ongoing)

• Perform all tasks in a safe manner in compliance with DEI safety policies and in accordance with applicable government regulations. (Percent of time: Ongoing)

• Maintains confidentiality of all records and information which pertain to patients, physicians, employees, the organization and related interests of DEI. (Percent of time: Ongoing)

• Performs special projects or other related work as required or assigned. (Percent of time: Ongoing)

SUPERVISION:

Functions independently with minimal supervision of Director, Special Programs.

EDUCATIONAL EXPERIENCE, TRAINING *(including Licenses and Professional Activities):*

• Education

A. Bachelor’s degree required in Computer Science, Engineering, Data Science or a related field

• Experience

A. Must have 3+ years working in AWS environments.

B. Experience with EC2 (including GPU instances), S3, IAM, VPC configuration, Lambda, Workspaces, Sagemaker)

C. Strong python skills

D. Experience with deep learning frameworks (PyTorch preferred)

E. Experience building reproducible ML pipelines

F. Familiarity with Linux systems and containerization (Docker)

G. Experience with distributed deep learning, medical imaging datasets, and DICOM standards preferred

H. Experience with computer vision for segmentation, detection, self-supervised learning, and representation learning preferred

I. Experience with OCT imaging, Fundus photography, and Multimodal imaging preferred

J. Experience in academic or translational research environments preferred

K. Familiarity with multimodal AI and foundation models preferred

• Abilities and Characteristics

A. Analysis of issues, prioritization, and follow through to completion

B. Organization

C. Problem identification and resolution

D. Project management

E. Collegial and cooperative communication – written and oral skills

F. Conflict resolution

G. Knowledge of applicable laws/policies/principals/etc.

H. Networking

I. Organization

J. Planning

K. Public relations

L. Competence in use of standard office products, equipment, computers and software including Windows and Microsoft Office suite.

Pay: $100.00 per hour

People with a criminal record are encouraged to apply

Work Location: Remote