Senior Platform Engineer

About The Department

The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science for impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data‑driven discoveries that increase scientific knowledge and improve quality of life.

We architect ecosystems of large‑scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at (Use the "Apply for this Job" box below). https://gen
3.org/, .gen
3.org/, and .

BSD CTD - Platform Engineering - PlanX

The Senior Platform Engineer provides production support, production monitoring, CI/CD design & implementation, and security automation across the open‑source software platforms CTDS develops and operates for translational data science. Production support includes triaging, researching, communicating, and addressing production incidents. For monitoring, the engineer will wrangle disparate system monitoring assets and develop common analytics to inform optimization, define benchmarks and confidence intervals, and proactively mitigate production incidents.

CI/CD pipelines are for hybrid cloud architecture on‑premises and in commercial cloud providers like Amazon, Google, and Microsoft.

• Responsible for technical tasks and timely delivery of such tasks, meeting the required level of quality.
• Participation in complex and challenging activities, including design and implementation.
• Provide support and maintenance for existing applications.
• Provide technical mentorship to interns and onboarding staff and technical leadership in technical initiatives.
• Actively participate in the hiring process and provide fair and productive interview feedback.
• Elaborate on technical solutions internally and externally when required.
• Investigates, analyzes and resolves day‑to‑day technical problems using standard procedures.
• Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.
• Performs code testing on components and works to ensure that appropriate implementation standards are met. Evaluates design alternatives for development cost and solutions using various methods.
• Supports and maintains existing applications. Works with web developers and responds to requests from users.
• Performs other related work as needed.

Minimum requirements include a college or university degree in a related field. Advanced degree in computer science, mathematics, statistics, engineering, or a relevant quantitative field strongly preferred.

Minimum requirements include knowledge and skills developed through 2–5 years of work experience in a related job discipline. 3+ years experience developing infrastructure, configuration and/or deployment automation or demonstrated skills and qualifications through projects, initiatives, or outstanding performance.

None listed.

• Hands‑on scripting experience (Bash, Python, or other dynamic language).
• Unix/Linux programming or system administration experience.
• Experience with Open Stack and AWS (EC2/S3) cloud technologies.
• Experience with configuration management utility (Chef, Puppet, Ansible).
• Experience with F5 or other load balancing technologies (Nginx, AWS ELB/ALB, etc.).
• Experience with source control and build systems (SVN, Git, Jenkins, etc.).
• Experience with container‑based deployment (Docker, Kubernetes).
• Experience with log aggregation tools (ELK stack, Splunk).
• Experience with security frameworks (FISMA, NIST, FIPS).
• Experience with cloud platforms (AWS, GCP, Open Stack), CI/CD, and Agile methodologies.
• Experience provisioning and managing GPU‑enabled infrastructure (NVIDIA GPUs, CUDA, multi‑GPU systems) in cloud and/or on‑prem…