Senior Software Engineer

Chicago, United States

Client: a Fortune 500 global logistics company

Location: Minnesota, Illinois, or Kansas City (candidates must be based in one of these areas)

Our client, a leading global logistics company, is hiring a Software Engineer III to join the team that builds its near-real-time pricing platform for shipping customers. You’ll work alongside engineers, data scientists, and analysts to design scalable systems for cost estimation, pricing strategy, and data-driven insights, including experimentation tools that let the team test ideas quickly. The work centers on distributed systems, cloud-native development, and data-intensive applications, with a growing focus on AI-assisted and agentic solutions.

• Design and build scalable, modular near-real-time decisioning systems using microservices, REST APIs, event-driven/streaming architectures, and hybrid relational/No
  
  SQL storage.
• Develop backend services and data pipelines in Python and front-end experiences in React, deployed on Azure with Kubernetes.
• Build data workflows with Airflow, working across MongoDB and Snowflake.
• Own services end-to-end, drive system design decisions, and manage delivery timelines and risk on complex initiatives.
• Partner with data scientists to product ionize models and support experimentation frameworks.
• Contribute to agentic and intelligent automation solutions, using AI-assisted tools like Git Hub Copilot.
• Lead design discussions and code reviews, mentor other engineers, and champion strong testing and code quality practices.

• 5+ years designing and delivering production-grade software.
• 5+ years of Python backend development and 5+ years with React or another modern front-end framework.
• Experience building cloud-native applications (Azure preferred) with Kubernetes.
• Hands-on experience with MongoDB (or similar), Snowflake (or equivalent), and Airflow or similar orchestration tools.
• Strong background in APIs, distributed systems, CI/CD, and modern Dev Ops practices.
• Experience with AI-assisted development tools and agentic/LLM frameworks such as Lang Chain or Lang Smith.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

• Experience partnering with data science teams to put models into production.
• Background in statistical modeling, experimentation, or data-driven decision systems.
• Experience in pricing, logistics, or other high-scale transactional systems.
• Familiarity with monitoring tools such as Data Dog, Prometheus, or Grafana.
• Proven ability to mentor engineers and influence technical and product decisions.