Top Remote Senior Level Jobs in Tallahassee, FL

Partner with the CFO to prepare timely financial reports, reconcile general ledger accounts, perform variance analysis, maintain GAAP-compliant records, support budgeting/forecasting, improve reporting processes and internal controls, and contribute to system implementations and special projects.

Lead QA efforts across development teams: set testing standards, mentor testers, manage test execution and metrics, make go/no-go recommendations, liaise with stakeholders, oversee test tools and configuration management, drive improvements, and maintain client relationships.

Provide high-level administrative and personal support to the CEO: manage scheduling, coordinate meetings and complex travel, take meeting notes and follow up on action items, prepare meeting materials, handle confidential information, organize executive team events and offsites, and perform ad hoc personal errands and tasks.

Lead the creation of visuals for marketing campaigns. Manage multiple projects, ensuring brand consistency and quality standards are met.

Lead the migration of a Windows-based renderer to Linux/Vulkan, ensure cross-backend correctness and performance, build regression/comparison tests, establish profiling workflows, and contribute to advanced rendering features and GPU optimization while collaborating across build, infra, and simulation teams.

Lead design, development, testing, deployment, and support of enterprise RPA solutions using UiPath and Blue Prism. Collaborate with business analysts and SMEs to create PDDs/SDDs, build IDP models, integrate APIs and Azure Cognitive Services, write custom C#/VB.NET code, migrate legacy automations, execute testing, maintain automations via Orchestrator, and document runbooks and procedures in Confluence using Agile practices.

Design and implement distributed, scalable web and service-based applications. Collaborate with product owners and Agile teams to translate requirements, build components using modern frameworks, enforce SOLID architecture, writing tests, documenting best practices, and using enterprise toolchains for deployment and monitoring.

Lead and develop a team to define and execute enterprise web strategy across customer journeys. Translate analytics into strategic direction, own CRO and experimentation, shape search/AI discovery approaches, advise stakeholders, and guide CMS/structured content initiatives to improve discoverability and business outcomes.

Lead design and delivery of a cloud-native BaaS payments platform. Architect scalable distributed systems, define API contracts, drive CI/CD and TDD practices, mentor engineers, reduce technical debt, and partner with product teams.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Volunteer senior engineer to develop a cross-platform medical/wellness app (web, iOS, Android). Own full SDLC: design, coding, testing, data models, pipelines, deployments, and collaborate in Agile processes. Attend weekly standups and commit at least 4 hours weekly.

Volunteer senior developer to design, build, and maintain a cross-platform medical scheduling app (web, iOS, Android). Participate across the full development lifecycle: design, coding, testing, CI, deployments, code reviews, production support, incident management, and platform architecture. Attend weekly standups and commit at least four hours per week.

Provide pro-bono legal counsel for nonprofit formation and compliance: advise on entity choice, draft formation and governing documents to secure tax-exempt status, file formation and registration documents, protect name and registered agent decisions, obtain permits/registrations, and support an initial fundraising campaign.

Lead research on the macroeconomics of AI by authoring flagship reports, building quantitative forecasting models, integrating bottom-up semiconductor and datacenter data into macro estimates, developing LLM-driven research pipelines, performing econometric analysis, and communicating findings to investors, policymakers, and the public.

Lead coverage of how AI infrastructure is financed by analyzing lenders, structures, collateral, and credit risk. Build quantitative models, proprietary datasets, stress scenarios, and publish flagship research for investors, regulators, and industry stakeholders.