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 You'll 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 You'll 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
• Bachelor's 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