Top Remote Senior Level Software Engineer Jobs in Milwaukee, WI

The Backend Software Engineer will develop scalable backend components, optimize API services, collaborate with frontend engineers, and ensure compliance with healthcare data standards.

The Lead Architect will develop backend services, oversee integration with imaging facilities, set coding standards, mentor engineers, and ensure fault-tolerant systems while adhering to healthcare data standards.

The Senior Software Engineer will develop orchestration and autoscaling for the Lucenia search platform, working with cloud technologies and Kubernetes to manage services and mentor team members.

The Senior Software Engineer will focus on Lucene's distributed indexing and query capabilities, improve code features, and collaborate with a global team.

The Engineering Manager will lead the team for Runway's product platform and API, focusing on performance and strategy while managing engineering teams, coordinating with product management, and ensuring data integrity.

Lead a team of engineers to improve a core Direct Deposit product, drive strategy and execution, mentor team members, and manage project completion with a focus on customer engagement.

The Senior Backend Engineer will lead client projects, build AI solutions, and develop technical standards while mentoring junior engineers.

The role involves end-to-end ownership of features across the MERN stack, optimizing performance, collaborating on design, and participating in discussions like roadmapping and code reviews.

As a Senior Software Engineer, you will lead your team in delivering features according to specifications, ensuring scalable technical decisions, and mentoring team members.

As an AI Controls Solutions Engineer, you will operationalize Phaidra's AI solutions for customers, create models for facility ingestion, define product requirements, and collaborate closely with the data science and product teams. The role may involve 25% travel.

The Senior Solutions Engineer manages technical customer relationships, leading discussions, certifications, implementations, and optimization in AI-driven environments.

Develop backend services and processing pipelines for healthcare data, integrate AI components, ensure high-quality deliverables, and maintain observability in systems.