Top Software Engineer Jobs in Milwaukee, WI

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Own and modernize the governance domain (auth, roles/permissions, orgs, billing) as a Staff-level backend IC: set architecture, refactor for scale and AI-native workflows, write critical-path code (70-80%), mentor engineers, and partner with product to deliver enterprise-grade governance and compliance features.

Design, develop, deploy, and operate custom web applications across AWS, Azure, and on-premises infrastructure. Build and maintain cloud infrastructure using Terraform and AWS CDK, and help technical users configure and optimize APIs and datasets. Provide technical support and guidance, troubleshoot Linux environments, resolve issues, optimize performance, and maintain reliable custom software solutions.

Designs and leads enterprise AEM Assets and DAM architectures, including taxonomy, metadata, Dynamic Media, Content Hub, migration, integrations, cloud infrastructure, and CI/CD. Provides technical leadership for client engagements, architecture reviews, workshops, estimates, staffing, risk management, mentoring, and practice development. The role also includes advising on Adobe Content Supply Chain solutions and supporting SAP EPPM prototype and production deployments, testing, integrations, and cutover activities. Travel may range from 0% to 100% depending on client needs.

Develop and support secure, high-performing web and mobile applications for Baird Online. Responsibilities include React and Next.js front-end development, .NET backend integration, API and SQL work, testing, troubleshooting, release management, accessibility and performance improvements, stakeholder collaboration, Agile delivery, and mentoring less experienced developers.

Lead design, development, modernization, and support of InterSystems Cache/IRIS applications using ObjectScript. Build services, APIs, batch jobs and data workflows; optimize SQL, indexing and queries for performance; lead migrations (Cache to IRIS) and integrations (REST, messaging, ETL); troubleshoot incidents, drive operational resilience, embed secure practices, and mentor engineers across product, QA, infrastructure, and architecture teams in a regulated fintech environment.

Designs and implements resilient cloud-native microservices using Java and Spring Boot. Leads migration to Red Hat OpenShift, provides technical guidance to software engineers, improves observability with DynaTrace, Grafana, and Elastic Stack, and streamlines deployments through GitOps CI/CD pipelines using Tekton and Argo CD.

Manages multiple IT and data engineering teams, overseeing staffing, performance, priorities, delivery, metrics, and stakeholder communication. Leads the design, development, and delivery of Databricks-based data platform components using Raw, Refined, and Presentation medallion architecture layers. Applies AI and machine learning within data engineering, ensures operational standards, coaches employees, and balances immediate delivery needs with long-term engineering objectives.

Leads strategy, execution, and lifecycle management for unified compute, operating system, cybersecurity, and serviceability platforms supporting MRI products. Builds and manages a multidisciplinary engineering organization, owns platform roadmaps and releases, modernizes architectures and workflows, drives secure-by-design practices, and ensures quality, reliability, compliance, and operational excellence. The role also oversees talent development, product lifecycle execution, cross-functional partnerships, and innovation across regulated medical device environments.

Support and develop backend applications, APIs, data integrations, and managed file transfers across digital systems. Use Azure tools, containers, Kubernetes, Oracle SOA, and Informatica while monitoring application errors and troubleshooting integration issues. This year-round internship provides mentorship and hands-on experience with cloud integration, service security, and digital platform management.

Leads the design, development, testing, and deployment of scalable enterprise software, APIs, backend services, cloud integrations, and data-processing workflows. Partners with data engineers and scientists on analytics and AI initiatives, contributes to architecture and technical planning, troubleshoots production issues, mentors engineers, and drives code quality, scalability, security, and continuous improvement.