Senior Software Engineer

Client: a Fortune 500 global logistics companyLocation: Minnesota, Illinois, or Kansas City (candidates must be based in one of these areas)About the Role 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.What You’ll DoDesign and build scalable, modular near-real-time decisioning systems using microservices, REST APIs, event-driven/streaming architectures, and hybrid relational/NoSQL 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 productionize models and support experimentation frameworks.Contribute to agentic and intelligent automation solutions, using AI-assisted tools like GitHub Copilot.Lead design discussions and code reviews, mentor other engineers, and champion strong testing and code quality practices.RequirementsWhat You Bring5+ 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 DevOps practices.Experience with AI-assisted development tools and agentic/LLM frameworks such as LangChain or LangSmith.Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.Nice to HaveExperience 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 DataDog, Prometheus, or Grafana.Proven ability to mentor engineers and influence technical and product decisions. Client: a Fortune 500 global logistics company Location: Minnesota, Illinois, or Kansas City (candidates must be based in one of these areas) About the Role 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.

What You Bring

• 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 DevOps practices.
• Experience with AI-assisted development tools and agentic/LLM frameworks such as LangChain or LangSmith.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Nice to Have

• 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 DataDog, Prometheus, or Grafana.
• Proven ability to mentor engineers and influence technical and product decisions.