Top Software Engineer Jobs in Chicago, IL

The Manager of Implementation Engineering at Panaseer is responsible for overseeing the efficient delivery of software modules to customers, managing a team of engineers, and driving customer satisfaction through effective implementation and onboarding processes. The role involves problem-solving for technical issues and fostering relationships with customers to enhance product delivery.

The Senior Data Engineer will design and build a scalable big data analytics platform, optimize search solutions with Elasticsearch and OpenSearch, collaborate with teams to implement technical specifications, improve search performance, and mentor junior engineers.

The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.

The Senior Manager will lead eDiscovery system implementations and manage client projects, ensuring deliverables are met. Responsibilities include overseeing teams, facilitating workshops, developing client relationships, and managing project documentation and budgets. The role requires collaboration with legal and IT stakeholders to create effective solutions, mitigate risks, and enhance methodologies.

As a Ruby on Rails Engineer, you will develop applications accessing large financial datasets, collaborating with Operations and Product teams to create innovative analytics products using cloud technologies, optimizing performance, and providing production support.

The Mid-Level Tester will conduct testing across various environments including Development, Test, SIT, UAT, and Production. Responsibilities include developing and documenting test cases and scripts, assisting with technical design documentation, and logging defects after documenting test results.

The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.