Top Software Engineer Jobs in Milwaukee, WI

Develop and deploy Salesforce Marketing Cloud solutions: build email templates and web pages (HTML/CSS/JS), write AMPScript/SSJS/WSProxy, manage Automation Studio and Journey Builder, create integrations via REST/SOAP APIs, design data models with SQL and data extensions, document setups, and collaborate across teams while owning technical decisions.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

Design and build a scalable, responsive UI; lead frontend architecture and optimization; apply UI/UX best practices; integrate with backend APIs; ensure high web performance and deploy user-facing features.

Build and evolve Polar’s finance and monetization platform for AI products. Own product development end-to-end across frontend and backend systems, create intuitive developer experiences, ship reliable software quickly, engage with merchants, and translate feedback into product improvements. The role requires strong technical foundations, product judgment, design sensibility, autonomy, engineering quality, and comfort working across the stack. Payments, billing, developer tools, open-source contributions, and side projects are valued.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Build and maintain scalable full-stack web applications using PHP, Laravel, React, Next.js, SQL, and related technologies. Own features from design through deployment and monitoring, develop APIs, optimize databases and legacy systems, troubleshoot performance issues, and contribute to code quality, security, and engineering practices. Collaborate cross-functionally in an agile, continuous-deployment environment while using AI-assisted tools responsibly.

Lead an engineering organization building secure enterprise container and Kubernetes platforms. Define technical strategy, improve platform resilience and operational excellence, embed security throughout the SDLC, balance feature delivery with stability, hire and develop engineering talent, and collaborate with product leaders, executives, and enterprise customers.

Own and scale the PostgreSQL and AWS Aurora database layer for a high-volume legal-services platform. Responsibilities include schema and migration review, query and index tuning, production issue diagnosis, lock and replication troubleshooting, database maintenance automation, backup and restore support, access control, and collaboration with infrastructure, software development, and data science teams. The role also supports reporting, billing, PII-sensitive data, and ERP-related data flows.

Build Doowii’s conversational analytics platform across frontend, backend, data interaction, and infrastructure. Responsibilities include creating data-query interfaces, developing APIs, integrating AI-driven features, optimizing query and storage performance, managing AWS and GCP systems, designing data models, and maintaining ingestion pipelines involving NiFi, Kafka, Iceberg, and BigQuery. The role also involves model evaluation, schema evolution, change data capture, high-throughput streaming, automation, and rapid startup iteration.

Provides executive leadership for software engineering across regulated clinical, patient-facing, platform, and device-integrated systems. Oversees delivery, scalability, quality, compliance, engineering operations, CI/CD modernization, AI-assisted development, and organizational growth. Leads engineering executives and partners cross-functionally across product, clinical, regulatory, quality, security, machine learning, and IT. Requires extensive leadership of Software as a Medical Device products through development, validation, regulatory approval, commercialization, and post-market support.