Full-stack Engineer

• Lead development of robust, observable, and measurable applications using extreme programming practices and a user-centric approach
• Navigate the entire application lifecycle with designers, product managers, and engineers
• Leverage critical thinking, lead lean experimentation, and use data and industry best practices to drive business outcomes
• Establish and lead product engineering and software standards
• Mentor junior team members through pairing sessions, one-on-ones, and ad hoc guidance
• Model partnership, collaboration, technical initiatives, and regular feedback
• Champion and customize extreme programming practices
• Design and build modular, headless AI backend services, advanced RAG architectures, and multi-agent orchestration workflows
• Construct enterprise-grade MCP gateways, API integration/mediation layers, rate limiters, and security proxies
• Develop streaming simulation frontends to validate agent behaviors, prompt strategies, and human-in-the-loop workflows
• Collaborate with Applied/Data Science and Machine Learning specialists to fine-tune SLMs, perform AWQ/GPTQ quantization, and optimize GPU memory for inference
• Instrument distributed tracing, token utilization logging, and inference latency telemetry
• Package reusable code libraries, containerized microservices, and integration SDKs
• Architect resilient Compound AI Systems routing between deterministic APIs, specialized SLMs, and frontier LLMs

Staff AI Full-Stack Engineer

• Serve as a hands-on member of a Product Engineering squad on CPI's Integrated Training and Learning (ITL) cloud-native learning platform
• Design, build, test, deploy, and support features across C#/.NET microservices, CQRS handlers, Azure Service Bus, Azure SQL, and React
• Partner with the product owner and designer to understand customer problems, challenge assumptions, and propose simple solutions
• Break epics into independently shippable increments and validate releases with real usage data
• Write automated unit, integration, and contract tests; maintain observability through logging, metrics, and tracing
• Demonstrate completed work to business stakeholders and explain customer and business benefits
• Monitor dashboards and alerts, participate in the on-call rotation, and resolve production issues
• Participate in blameless incident reviews and drive preventative follow-up actions
• Reduce technical debt, improve build and deployment times, and simplify system complexity
• Contribute to decoupling ITL domain data from upstream enterprise systems
• Apply secure coding practices and WCAG 2.1 AA accessibility standards
• Use AI-assisted development tools for design exploration, coding, testing, refactoring, and debugging while owning quality, security, and correctness
• Experiment with AI tools, measure their impact, and share findings with the squad
• Identify opportunities for AI capabilities in the ITL product or internal tooling and propose proofs of concept
• Investigate unfamiliar systems, share knowledge through reviews and documentation, and run technical experiments
• Give and receive code review feedback, mentor less experienced engineers, and contribute to retrospectives
• Perform other position-related duties as assigned

Senior Software Engineer

• Design, develop, and enhance software solutions for business challenges
• Contribute to architecture, design, and planning of new features and system capabilities
• Collaborate with data scientists, data engineers, actuaries, and subject-matter experts
• Integrate data science, AI/agent outputs, and model-driven insights into production workflows
• Build and maintain unit, integration, and automated tests
• Manage workload according to project priorities, deadlines, and deliverables
• Help achieve sprint goals through independent work and cross-functional collaboration
• Participate in code reviews
• Support and improve deployment pipelines and release processes
• Assist with security, encryption, sensitive-data handling, and platform-level technologies
• Architect and implement React/TypeScript front ends, including Next.js, and Django/REST backend API services
• Support asynchronous or long-running integrations
• Design, optimize, and maintain SQL databases
• Document code, architectures, and features
• Use GitHub and GitFlow in collaborative development
• Deliver scalable, high-quality Nodal® SaaS products that analyze claims data, predict claim risk, and activate early interventions

Staff Software Engineer – Nodal, IntelliScript

• Write software code
• Perform usability and functionality testing
• Implement programs from user stories
• Assist with developing program and system documentation
• Support and troubleshoot production systems to optimize performance
• Resolve production problems and provide timely follow-up
• Support process-improvement projects
• Collaborate with team members to support project business objectives
• Attend and participate in scrum/agile ceremonies, including daily stand-ups, sprint planning, backlog refinement, and Program Increment Planning

Software Engineer Intern

• Serve as technical lead of a Product Engineering squad on CPI's Integrated Training and Learning platform
• Design and write backend code in C#/.NET microservices using CQRS and event-driven patterns in Azure
• Work across the full stack, including React, when required
• Translate product outcomes into technical approaches and choose simple designs that achieve customer and business outcomes
• Lead technical design for features and services, including event contracts, Azure SQL data models, and React integration
• Break epics into independently deployable increments and drive frequent, low-risk production deployments
• Write production code daily and resolve ambiguous technical problems
• Provide task breakdowns, identify dependencies, estimate effort, and assess risks
• Demonstrate squad work to business stakeholders and connect technical work to impact
• Own service health, define SLOs, maintain alerting and dashboards, participate in on-call, and lead production incident response
• Lead blameless incident reviews and ensure follow-up actions are completed
• Decouple ITL domain data from upstream enterprise systems and ensure data flows to the warehouse
• Reduce technical debt, improve build/test/deploy times, and automate operational toil
• Ensure secure coding, WCAG 2.1 AA accessibility, and performance standards
• Lead adoption of AI-assisted development tools and establish review/testing norms
• Partner on Product Engineering AI strategy and pilot tools and techniques
• Identify AI opportunities within the ITL product and internal tooling
• Set engineering standards for code reviews, testing, documentation, and architecture
• Mentor and coach engineers through pairing, design reviews, and feedback
• Sponsor experiments and proofs of concept and lead retrospectives
• Collaborate with squad leads, the Platform team, and the Principal Software Engineer
• Perform other position-related duties as assigned

Lead Software Engineer

• Design, develop, test, and maintain software applications and services under the guidance of senior engineers and technical leads
• Collaborate with cross-functional teams to deliver high-quality, scalable, and secure solutions
• Participate in requirements analysis, coding, testing, deployment, and production support
• Continuously build technical expertise and contribute to team objectives

Software Development Engineer

• Lead, mentor, and develop a team of software development team members
• Manage team workload and ensure work is completed on time and within scope
• Conduct performance reviews, provide constructive feedback, and create development plans
• Facilitate communication between the development team and other departments
• Plan and execute IT development activities aligned with business objectives
• Monitor work progress, identify risks, and remove team impediments
• Ensure adherence to quality standards and best practices
• Manage timelines, budgets, and resources as needed
• Provide technical guidance and troubleshoot complex issues
• Ensure code reviews, testing, and documentation follow industry best practices
• Evaluate emerging technologies and trends for organizational application
• Collaborate with senior management on technology strategy and team roadmap
• Translate business needs into technical solutions with product owners, business analysts, and stakeholders
• Communicate work status, challenges, and solutions to stakeholders
• Liaise with other IT teams to ensure integration and alignment
• Manage relationships with external vendors and partners
• Improve development processes, methodologies, and tools
• Promote continuous learning and professional development
• Implement and monitor key performance indicators for team performance and delivery success

Manager I, IT Software Engineering – Enterprise Data

• Join Northwestern Mutual’s growing Kubernetes Platform team
• Develop, maintain, and support container and Kubernetes platforms
• Enable hundreds of developers to deploy applications and infrastructure through Kubernetes and cloud technologies
• Demonstrate technical leadership by mentoring junior engineers
• Apply engineering standard methodologies to analyze and develop software solutions
• Use coding standards, best practices, and automation capabilities to support users
• Identify technical problems and develop software solutions and automation capabilities
• Review, verify, and validate software code
• Build and improve continuous integration and continuous development pipelines
• Design, code, test, document, debug, and maintain modular and reusable software applications and services

Senior Systems Software Engineer

• Lead a team of developers in designing, developing, and implementing software applications
• Collaborate with stakeholders to gather and analyze requirements for new projects
• Provide technical guidance and support to team members
• Ensure adherence to coding standards and best practices
• Review and test code written by team members
• Troubleshoot and resolve technical issues
• Stay updated on industry trends and emerging technologies
• Participate in team meetings and provide project status updates

Tech Lead – Application Development S 4C

• Analyze, design, develop, and support in-house applications, websites, interfaces, reporting systems, and LIMS supporting WSLH laboratories and divisions
• Research new technologies, methodologies, programming languages, and frameworks
• Review systems for cybersecurity threats and weaknesses and take corrective action
• Implement automated testing, source-code management, and CI/CD strategies and tools
• Perform systems analysis and document systems design
• Work with laboratory analysts to develop solutions, including cloud-based solutions, supporting research, analysis, and workflows
• Maintain existing programs and resolve problems
• Create new web and computer applications with development team members
• Develop data interfaces and APIs with internal and external systems, customers, and agencies
• Research and implement development tools and infrastructure
• Automate and improve development and release processes
• Develop data structure and systems performance strategies
• Train and provide technical guidance to lower-level staff
• Review systems requirements, designs, and business processes for alignment with IT and business strategies
• Support WSLH laboratories with testing, reporting, research, and other needs
• May supervise unit staff and resolve routine personnel issues
• Resolve complex technical design and system integration problems
• Lead application development, integration upgrades, and maintenance projects
• Conduct system analysis, interpret requirements, and develop detailed system design specifications
• Consult with clients on project status, proposals, and technical issues
• Ensure systems are safe and secure against cybersecurity threats
• Design and develop integrated applications meeting present and future business needs
• Determine testing methodologies and manage comprehensive test plans
• Work under the general direction of the Director of Dev/Ops
• Complete initial training 100% on-site; hybrid remote work may be granted afterward at manager discretion

Full-stack Engineer jobs in Wisconsin