Top Software Engineer Jobs in Milwaukee, WI

Develop and support mainframe reinsurance systems involving premiums, claim payments, and reserve calculations. Translate business needs into software solutions, collaborate with actuarial experts and technical peers, improve core systems, establish engineering standards, conduct code and design reviews, and mentor less experienced engineers. The role requires strong analytical, mathematical, communication, prioritization, and software problem-solving skills.

Supports software product development across the lifecycle, including coding, testing, configuration, feature development, connectors, documentation, research and development, process improvement, and client implementation support. Collaborates with experienced developers, contributes to project timelines and deliverables, and receives mentorship while working within Wipfli’s IP Product Engineering group.

Lead design and implementation of modernized insurance underwriting and policy administration solutions. Drive cloud transformation, data-driven and secure architectures, improve risk selection and claims resolution, enhance customer experience through automation, mentor technical teams, manage client relationships, and oversee project lifecycle, budgets, and delivery quality.

Designs, develops, tests, deploys, documents, maintains, and debugs software solutions for PNC’s Asset Management Group. The role addresses complex business needs through technical design, application development, architecture, troubleshooting, testing, and release management. It is remotely based in Pennsylvania, with occasional in-office participation as needed.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Build and deploy production-grade agentic workflows for enterprise customers using Webflow APIs, CMS, AI capabilities, and external integrations. Design safeguards, observability, rollback paths, and permission boundaries; support live web properties at scale; collaborate with sales and engineering on complex deployments; and convert customer implementation learnings into reusable architecture blueprints and platform improvements.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Build and maintain lead-to-order business systems across Salesforce and connected platforms. Design complex applications, declarative automation, Apex and Lightning solutions, integrations, APIs, data models, and security controls. Remediate technical debt, lead migrations and tool rollouts, manage testing and cutovers, and ensure production systems are observable, documented, and governed. Partner cross-functionally to translate business requirements into scalable solutions while supporting AI capabilities in go-to-market workflows.

Software Engineering Interns will build and ship high-impact software projects across product, infrastructure, customer experience, mobile, and security teams. Responsibilities include designing, developing, testing, and deploying features; collaborating with multidisciplinary teams; participating in agile development and prototyping; applying user-centered design; and learning through mentorship, technical talks, and feedback. The internship is virtual, full-time, and lasts 12 weeks during Summer 2027.

Build and expand fintech and payment systems using Go, microservices, databases, and cloud technologies. Design production APIs and tooling, diagnose customer issues, manage full release lifecycles, document systems, and mentor engineers. Collaborate with product and business teams while guiding AI agents to produce maintainable, observable, testable code that meets engineering standards. Work independently in a high-availability environment and contribute to next-generation financial products.