Top Remote Senior Level Jobs in Miami, FL

Serve as the primary customer contact for provider/payer clients, driving adoption of PointClickCare, identifying performance-improvement opportunities through data, building long-term account plans, coordinating client-to-client collaboration, delivering ROI narratives, and providing ongoing consultative support and training to maximize product value.

Lead enterprise Salesforce architecture by translating business requirements into scalable Salesforce solutions, driving taxonomy and domain alignment, managing architecture reviews, guiding integrations and data migrations, developing technical standards and roadmaps, and mentoring teams to deliver large-scale CPQ/Product-to-Cash and SaaS implementations.

The Senior Workday Engagement Manager will oversee Workday solution implementations, manage projects, engage with clients, and ensure customer satisfaction throughout the delivery lifecycle.

Build and maintain full-stack, AI-native features for Cross River's data platform, including React UIs, Python APIs, LLM-powered agents, RAG, and natural-language-to-SQL experiences. Ensure secure, auditable model integration, data governance, and operational stability while collaborating across engineering and data teams.

Lead and stabilize mainframe production operations, handle incident escalation and complex job recovery, coordinate with system programmers and application teams, support change management and disaster recovery, and mentor junior operations staff while improving runbooks and operational processes.

Design, develop, maintain, and optimize ADABAS database structures and data solutions. Support mainframe data processing (Natural, COBOL, JCL), perform migrations to modern platforms, tune performance, ensure data integrity/security, troubleshoot issues, and collaborate with developers, architects, and analysts on modernization, API/cloud integration, and data warehousing initiatives.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Provide senior legal counsel on commercial technology transactions including SaaS, software, cloud, AI-enabled and data processing agreements; draft, review, and negotiate contracts; advise cross-functional stakeholders; streamline contracting processes and pricing governance; use legal tech and AI tools to increase efficiency; engage customers and support strategic initiatives.

Embed with brokerage operations to observe and automate manual workflows; design, build, deploy, and monitor auditable backend services and UIs; measure impact with operations metrics; produce RFCs; collaborate with compliance/security; own CI/CD, on-call, and incident response for production systems.

Lead and manage IT-focused contract delivery under the PWS: plan, execute, staff, track schedules, mitigate risks, produce program reporting, maintain PMP/QMP/SOPs, direct transitions, ensure contract compliance, and mentor program staff while serving as primary government interface.

Lead Appian Associate to plan, lead, and manage Appian software development projects for FMS. Work with clients and stakeholders to design and implement solutions, mentor junior developers, handle database and system integrations, and apply BPM best practices in an Agile environment.

Design, develop, test, and maintain cloud-native, scalable search and distributed system features. Contribute to architecture, ensure reliability, scalability, and security of global cloud infrastructure. Troubleshoot production issues, optimize performance, collaborate with product and UX, and mentor junior engineers.

Design, build, and deploy scalable distributed deep learning pipelines and infrastructure. Optimize hardware utilization, profile and benchmark training, manage large datasets, and enable reproducible ML workflows in cloud environments. Collaborate with ML scientists and engineers to align pipelines with research goals and drive performance, reliability, and operational best practices for large-scale model development.