Senior Software Engineer (Python)

Join a team building cloud-native systems high-throughput data applications and an expanding set of AI-driven and agentic tooling.

Location: Candidates must be based in MN IL or the Kansas City metro area.

What Youll Do:

• Build scalable high-complexity solutions that power near-real-time decision engines
  
• Help design and grow distributed systems including:
  • Microservices and REST-based APIs
    
  • Event-driven and streaming pipelines
    
  • Mixed relational/NoSQL data storage strategies
    
• Work closely with architects and other teams to shape and refine system design
  
• Make independent architectural calls weighing scalability reliability performance and cost
  
• Develop backend services and data pipelines in Python and user-facing features in React
  
• Build and run cloud-native applications on Azure using Kubernetes
  
• Create data workflows with Airflow or comparable DAG-based orchestration tools
  
• Work with modern data platforms such as MongoDB (or similar NoSQL databases) and Snowflake (or comparable analytics platforms)
  
• Take full ownership of services and codebases reliability scalability and long-term maintainability included
  
• Break large projects into manageable pieces help estimate timelines and flag delivery risks early
  
• Apply rigorous testing practices (unit integration end-to-end) and hold code to a high bar
  
• Use AI development tools (like GitHub Copilot) to work faster and improve output quality
  
• Support the build-out of agentic and intelligent automation features
  
• Team up with data scientists and analysts to move models into production and support experimentation
  
• Bring statistical or data-science thinking to bear on system improvements where useful
  
• Build strong working relationships across engineering product data and architecture
  
• Lead and participate in design discussions and code reviews
  
• Mentor other engineers and help raise the bar for the team
  
• Communicate clearly on status risk and technical tradeoffs
  
• Help plan prioritize and drive delivery for the team
  

Requirements

What Youll Need:

• 5 years building and shipping production software
  
• 5 years working with Python on backend services
  
• 5 years with React or another modern frontend framework
  
• Experience with cloud-native development (Azure preferred) and Kubernetes
  
• Hands-on experience with technologies like MongoDB (or similar) and Snowflake (or comparable)
  
• Experience building data pipelines and workflow orchestration (Airflow or similar)
  
• Background designing and consuming APIs in distributed systems
  
• Comfort with CI/CD pipelines and modern DevOps workflows
  
• A track record of owning complex features or services independently
  
• Experience with AI-assisted development tools and building intelligent workflows (e.g. Copilot)
  
• Familiarity with agentic or LLM-based frameworks (LangChain LangSmith or similar) and orchestration tooling
  
• Bachelors degree in Computer Science Engineering or a related field (or equivalent practical experience)
  

Nice to Have:

• Experience working alongside data science teams on production models
  
• Background in statistical modeling experimentation or data-driven decision-making
  
• Experience in pricing logistics or other high-scale transactional environments
  
• Strong communication skills and the ability to influence technical and product direction
  
• Experience mentoring engineers and supporting team growth
  
• Familiarity with monitoring tools like DataDog Prometheus or Grafana