Top Remote Senior Level Jobs in Milwaukee, WI

Coordinates settlement and claims projects, including project tracking, documentation, claimant communications, data processing, eligibility review, invoicing, benefit distribution, and vendor coordination. Supports project managers, resolves adjudication issues, maintains confidentiality, develops business processes, and mentors project coordinators. The role requires strong organization, communication, research, problem-solving, and multitasking skills in a deadline-driven environment.

Develop and maintain runtime products by researching legacy codebases, backporting CVE security patches, building packages across Linux distributions and architectures, and creating automated testing and AI-assisted security workflows. The role requires deep C/C++ systems expertise, build-toolchain archaeology, cross-compilation experience, and strong ownership of correctness. It also includes customer support for compatibility and upgrade issues.

Designs, administers, and improves highly available PostgreSQL database platforms across AWS and GCP. Responsibilities include database architecture, performance tuning, replication, backups, disaster recovery, production incident response, Kubernetes operations, infrastructure as code with Terraform, and GitOps automation. The role also supports Kafka, ETL, CDC, monitoring, compliance audits, and resilient cloud-native database deployments.

Leads product discovery, roadmap prioritization, requirements definition, and delivery for clinician-facing digital workflow software. Partners with engineering, design, clinical, regulatory, operations, and commercial teams to launch scalable features, measure adoption and operational impact, and guide post-launch improvements. The role requires healthcare technology experience, strong stakeholder leadership, workflow and systems analysis, analytics proficiency, and familiarity with regulated software, integrations, and product management tools. Remote within the US, with travel up to 20%.

Analyzes business and operational needs, gathers requirements, evaluates data and systems, and recommends technology solutions. Develops advanced SQL queries, reports, system models, and process improvements. Responsibilities include troubleshooting, data architecture integration, software and hardware solution design, database analysis, automation using scheduling or RPA tools, and project leadership. Senior levels guide other analysts and assess technology’s business impact.

Own end-to-end development of production-grade AI-enabled applications across React and TypeScript frontends, Python and Node.js backends, PostgreSQL data models, cloud infrastructure, and CI/CD. Translate complex insurance compliance requirements into intuitive software, maintain platform reliability, optimize performance and accessibility, validate AI-generated code, and collaborate with product, design, and business stakeholders. Mentor engineers and drive technical planning, documentation, testing, deployment, and continuous optimization.

Provides technical leadership across multiple agile teams, designing, developing, and maintaining complex distributed software systems. Responsibilities include writing and reviewing code, translating requirements into scalable designs, leading design reviews and sprint delivery, mentoring engineers, collaborating with product managers, and driving technical strategy, quality, security, performance, observability, and operational excellence.

Build and own evaluation systems for AI products used in banking operations. Design representative tests, scoring criteria, expert-reviewed benchmarks, and automated comparisons across product versions. Investigate failures, verify accuracy and citations, assess safety, fairness, privacy, and human-review controls, and monitor live performance. Document evidence for release decisions, recommend improvements or restrictions, mentor colleagues, and support client proposals, estimates, recruiting, and implementation activities.

Manages relationships with an assigned portfolio of institutional investors, developing retention and growth strategies, increasing service volumes, upselling, and supporting new client acquisition. Leads client engagement, resolves issues, coordinates cross-functional teams, and delivers data-backed portfolio performance insights. The role requires mortgage servicing expertise, strategic planning, strong communication, leadership by influence, financial and technical aptitude, and effective management of client satisfaction and revenue growth.

Design and implement enterprise data architectures supporting batch and real-time analytics, ETL/ELT, data warehouses, streaming pipelines, CDC, and cloud data platforms. Build AI-ready data infrastructure for RAG, vector search, and Generative AI applications. The role requires production experience with Treasure Data/CDP, Kafka, Snowflake or Databricks, cloud services, and modern AI data engineering technologies.