Top Tech Jobs & Startup Jobs in Jacksonville, FL

Leads growth strategy for Scholarship Services across Catholic, faith-based, and private-school choice markets. Builds executive relationships with dioceses, school networks, and scholarship organizations; identifies partnerships; represents FACTS at industry events; develops impact narratives and thought leadership; and collaborates with business development, product, operations, engineering, and marketing on go-to-market priorities, pricing, packaging, forecasting, and performance. Mentors colleagues and requires deep scholarship organization and Catholic education experience.

Designs, develops, deploys, and supports enterprise business intelligence solutions using Power BI and related visualization platforms. Builds semantic and dimensional models, dashboards, reports, and analytical solutions; applies statistical techniques to identify trends and performance drivers; and translates findings into recommendations. Partners with stakeholders and data engineering teams, establishes reporting standards, optimizes performance, supports modernization and certification, and provides technical guidance. The senior level may lead complex initiatives, review designs, and mentor analysts.

Own defined product features and workflows from discovery through launch and post-launch improvement. Create product artifacts, partner with engineering and design, incorporate customer feedback and analytics, manage roadmaps and backlogs, prepare launch plans, and monitor adoption and quality. The role requires cross-functional collaboration, benefits administration domain learning, responsible use of AI-enabled tools, and hands-on technical engagement with engineers, including troubleshooting and scripting for production support.

Own cloud and application security across Redox’s healthcare data platform. Responsibilities include Kubernetes and container hardening, vulnerability management, secure SDLC and CI/CD safeguards, infrastructure-as-code security, secrets management, compliance control implementation, incident response, threat modeling, design reviews, mentorship, and bug bounty triage. The role also involves securing AI workflows and collaborating with engineering teams in a fully remote, asynchronous environment.

Own revenue accounting systems, reporting, dashboards, data models, automation, and AI-enabled solutions. Translate accounting requirements into scalable improvements across Salesforce, Zuora, Snowflake, Tableau, and related data flows. Analyze and reconcile financial data, identify root causes, strengthen controls, improve data quality, and develop exception monitoring. Partner cross-functionally with Accounting, Finance Systems, IT, Data Engineering, and Business Intelligence teams while documenting processes and supporting governance and audit readiness.

Build and maintain secure Azure Government, edge, and on-premises infrastructure for Department of War systems. Responsibilities include DevSecOps collaboration, Zero Trust implementation, Kubernetes and container security, Infrastructure as Code automation, RMF and CMMC compliance, ATO support, vulnerability remediation, and software supply-chain security. Approximately 15% of the role focuses on securing AI applications, LLMs, RAG architectures, AI agents, and MCP integrations using NIST AI RMF and related practices.

Provides transactional legal counsel to clinical, manufacturing, supply chain, medical affairs, and other biotechnology stakeholders. Leads drafting, negotiation, and execution of clinical trial, CRO, vendor, CDMO, supply, manufacturing, quality, technology transfer, and other agreements. Advises on risk allocation, indemnification, intellectual property, data rights, confidentiality, regulatory compliance, and disputes. Supports legal policies, templates, contract lifecycle management, outside counsel, and cross-functional initiatives.

Serves as a hands-on technology leader for G&A business systems, supporting procurement, legal, finance, HR, and facilities applications. Owns configuration, enhancements, integrations, testing, security administration, compliance, and outsourced support coordination. Builds AI and workflow automation solutions, improves business processes, supports SOX and ITGC controls, and partners with stakeholders on scalable enterprise applications and digital transformation.

Build and operate a secure, locally hosted LLM platform for enterprise engineering and business use. Responsibilities include model evaluation and optimization, inference serving, RAG and search pipelines, permission-aware retrieval, security controls, evaluation frameworks, observability, safe agent tooling, integrations, CI/CD, reliability, and lifecycle management. The role leads architecture and roadmap decisions while partnering cross-functionally to deliver measurable, production-ready generative AI capabilities.

Designs mechanical and electro-mechanical products using 3D modeling, drawings, prototypes, testing, and validation. Manages engineering projects, schedules, cost estimates, design releases, failure analysis, and corrective actions. Supports manufacturing, suppliers, testing facilities, and customer or internal design reviews. Develops test plans and fixtures, evaluates tolerances and materials, and designs for thermal, vibration, shock, harsh environments, and manufacturability while maintaining quality and documentation standards.

Leads mechanical product development, conceptual and detailed design, engineering analysis, prototyping, design reviews, and new product introduction. Collaborates with industrial designers, customers, manufacturing, sales, and engineering teams to resolve technical issues and ensure products meet performance, quality, regulatory, and manufacturability requirements. Performs FEA on plastic and metal designs and supports APQP, DFMEA, PFMEA, testing, documentation, and product release.

Conduct end-to-end adversarial testing of LLM-powered systems, including jailbreaks, prompt injection, data leakage, tool misuse, and policy bypasses. Automate attacks with Python, build reusable attack libraries and regression tests, document reproducible security findings, and translate model failures into product requirements and customer-facing evidence. Support demos, security reviews, and sales conversations while tracking emerging AI security techniques.