Staff Software Engineer, Nodal® - IntelliScript (Remote)

Milliman IntelliScript is hiring a Staff Software Engineer for its Nodal® team. The role delivers scalable software for a SaaS platform serving the P&C claims industry, including integrating data science and AI insights into production workflows.

Responsibilities:

• Design, develop, and enhance software solutions that solve business challenges
• Contribute to the architecture, design, and planning of new features and system capabilities
• Collaborate closely with data scientists, data engineers, actuaries, and subject-matter experts
• Help integrate data science, AI/agent outputs, and model-driven insights into production application workflows
• Build and maintain unit, integration, and automated tests to ensure high-quality code
• Manage your workload responsibly with an eye toward project priorities, deadlines, and deliverables
• Help the team achieve sprint goals through independent work and cross-functional collaboration
• Participate in code reviews to uphold quality, maintainability, and best practices
• Support and improve deployment pipelines and release processes
• Assist in evaluating and implementing security, encryption, sensitive-data handling, and other platform-level technologies
• Architect and implement modern front-end frameworks (React/TypeScript) including Next.js, and robust backend API services (Django, REST)
• Support backend workflows for asynchronous or long-running integrations where needed
• Design, optimize, and maintain SQL databases
• Document code, architectures, and features to ensure long-term maintainability
• Use GitHub and GitFlow confidently in a collaborative development environment

Requirements:

• 10+ years of relevant software development experience
• Strong experience in software development using programming or scripting languages such as Python, JavaScript/TypeScript, SQL
• Experience with React, TypeScript
• Next.js
• Experience building backend API services with Django, REST, or similar Python web frameworks
• Cloud development experience with Azure and/or AWS
• Experience with Docker or containerized application development
• Design, implement, and maintain scalable, efficient CI/CD pipelines using GitHub Actions and Terraform
• Understanding of Agile practices (e.g. Scrum)
• Experience with full software development lifecycle
• Excellent technical design, problem solving, and debugging skills
• Domain driven design
• Microservice architecture
• Event-driven architecture
• REST API design
• Writing testable code, unit tests, integration tests, etc
• Strong collaboration skills and the ability to work both independently and as part of a team
• Proven ability to interpret and implement business and functional requirements
• Ability to translate clients' business needs, claims workflows, and claims expertise into actionable product requirements
• Understanding of the value of test automation and a desire to incorporate it in development practice
• Understanding of secure software development practices, especially when working with sensitive or regulated data
• Curiosity, openness to new ideas, and a commitment to continuous learning
• A deep and evolving understanding of software engineering, informed by industry best practices and emerging technologies
• Ability to analyze, break down, and solve complex technical and business problems with attention to detail
• A team-first mindset with the ability to collaborate effectively, build relationships, and contribute to a positive, high-performing culture
• Ability to translate client needs and claims expertise into actionable product requirements
• Comfort working with cross-functional teams to turn claims, actuarial, data science, and business requirements into practical software solutions
• Continued education and/or advanced degree(s)
• Experience in environments subject to HIPAA and other sensitive data
• Experience in software-as-a-service and/or P&C insurance industry
• Cloud certifications
• Experience with test driven development
• Experience in designing systems using event-driven architecture
• Familiarity with AI and machine learning concepts (such as model explainability, agent-based integrations, or platforms like Databricks), and comfort building software that works alongside them
• Experience with durable background jobs, queues, workers, or asynchronous processing patterns