Top Hybrid Python Jobs in Chicago, IL

Seeking a Senior HPC Network Engineer to design and engineer communications infrastructure for a large-scale, distributed research environment. Responsibilities include network design, product selection, troubleshooting, capacity planning, script development, collaboration, and documentation. Qualifications include a BS or greater in Computer Science or related field, 10+ years of experience, attention to detail, prioritization skills, and technical problem-solving abilities. Must have excellent communication skills and expertise in network protocols, switches, cloud networks, and configuration management tools.

As a Software Engineer III at JPMorgan Chase, you will design and deliver trusted technology products, create data models, develop data pipelines using various programming languages and AWS services, and maintain documentation on Datamart architecture. Required qualifications include 3+ years of experience, proficiency in PL/SQL and Java or Python, and hands-on experience with Spark-based frameworks for ETL solutions.

Responsible for developing and maintaining risk model software in production and testing environments. Collaborate with team members to enhance technical capabilities for model development and monitoring. Manage resources in local and AWS cloud environments, develop CI/CD pipelines, and provide production support.

Lead Software Engineer working on emerging technologies including Generative AI solutions. Responsibilities include exploring new technology products, leading solution exploration across multiple cloud vendors, mentoring software engineers, and optimizing existing solutions for cost and performance.

Passionate software engineer required to work on precision medicine projects at Tempus. Responsibilities include managing cloud infrastructure, deploying containerized applications, automating manual tasks, and collaborating with cross-functional teams. Bonus points for experience with infrastructure-as-code tools, database design, and healthcare sector expertise.

The Machine Learning Engineer is responsible for building high quality ML datasets at scale, used to train ML models that power AI-centric features. They will work directly with the Director of AI to build an end-to-end pipeline of ML model development.

The Cloud DevOps Engineer will design, develop, test, implement, and support the Cloud platform ecosystem to streamline development and deployment of applications using modern DevOps practices. Responsibilities include managing Cloud platform ecosystems, designing automated deployment tooling, integrating solutions, and coordinating tests. The ideal candidate will have a Bachelor's degree in Computer Science, 2-3 years of experience with cloud-based platforms, software engineering experience, and proficiency in Python, Node.js, AWS, Terraform, Kubernetes, and GitLab.