Infrastructure/Data Science Architect-Open Position-CA

Infonex Technologies Inc.
Pleasanton, United States of America
2 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Pleasanton, United States of America

Tech stack

Airflow
Computing Platforms
Health Informatics
Continuous Delivery
Continuous Integration
Information Engineering
Data Infrastructure
Linux
Distributed Systems
Django
R
JSON
Python
Open Source Technology
RStudio
Vault (Revision Control System)
XML
YAML
AI Infrastructure
Private Cloud Environment
Scripting (Bash/Python/Go/Ruby)
Large Language Models
Spark
Gitlab
Kubernetes
Information Technology
Rancher
Machine Learning Operations
REST
Serverless Computing
Docker

Requirements

  • Advanced degree in Computer Science, Data Engineering, Biomedical Informatics, or a related field

  • Minimum 7 years of experience building and operating data science and AI infrastructure, including with open-source tooling.

  • Demonstrated experience leading platform projects that span multiple teams (IT + security/compliance + platform owners)

  • Significant hands-on experience in a Healthcare or Research setting with:

  • Kubernetes and container-based platforms in production environments

  • Healthcare or research-focused ML and LLM applications

  • R and Python for advanced analytics

  • Distributed computing and scalable ML systems

  • Python and Linux/Unix scripting for automation and tooling

Demonstrated experience implementing Continuous Integration/Continuous Delivery concepts in research or ML environments.

Strong verbal and written communication skills and a track record of partnering with non-platform stakeholders (such as researchers, analysts, or clinical teams) to translate their needs into platform capabilities, * Prior experience in clinical research, public health, or life sciences environments.

  • Familiarity with regulated data environments (HIPAA, IRB-controlled research).
  • Experience supporting collaborative, multi-institutional research projects.
  • Experience deploying ML systems in onprem or private cloud research computing environments.
  • Fluency with: Python, Linux OS and scripting, CI/CD, container building (Docker compatible), configuration syntaxes (YAML, TOML, XML), JSON, RESTful service, Airflow
  • Working knowledge of R programming, RStudio configuration, Spark/H2O, serverless functions, Ci/CD, Gitlab, Vault, Django, Rancher, Harvester

Apply for this position