We are looking for an experienced Data Engineer to join our team in Jacksonville, Florida. In this role, you will take the lead in designing and building a cutting-edge Azure lakehouse platform that enables business leaders to access analytics through natural language queries. This position combines hands-on technical expertise with leadership responsibilities, offering an opportunity to mentor a team of skilled engineers while driving innovation.<br><br>Responsibilities:<br>• Architect and develop a robust Azure lakehouse platform, utilizing Azure Data Lake Gen2, Delta Lake, and PySpark to create efficient data pipelines.<br>• Implement a semantic layer and metric store to ensure consistent data translation and definitions across the organization.<br>• Design and maintain real-time and batch data pipelines, incorporating medallion architecture, schema evolution, and data contracts.<br>• Build retrieval systems for large language models (LLMs) using Azure OpenAI and vectorized Delta tables to support chat-based analytics.<br>• Ensure data quality, lineage, and observability through tools like Great Expectations and Unity Catalog, while optimizing costs through partitioning and compaction.<br>• Develop automated systems for anomaly detection and alerting using Azure ML pipelines and Event Grid.<br>• Collaborate with product and operations teams to translate complex business questions into actionable data models and queries.<br>• Lead and mentor a team of data and Python engineers, establishing best practices in CI/CD, code reviews, and documentation.<br>• Ensure compliance with security, privacy, and governance standards by designing and implementing robust data handling protocols.
<p>Design and manage data pipelines, ensuring optimized performance for analytics and reporting. Support BI tools to provide actionable insights for decision-making.</p>
<p>We’re looking for a <strong>Senior Data Engineer</strong> to design, build, and optimize modern data pipelines and architecture. You’ll support analytics, reporting, and data‑driven applications by creating scalable, efficient data systems across cloud environments.</p><p><strong>What You’ll Do</strong></p><ul><li>Design and build <strong>ETL/ELT pipelines</strong> across cloud platforms (Azure, AWS, or GCP)</li><li>Architect and maintain Data Lake / Lakehouse environments</li><li>Develop and optimize data ingestion, transformation, and orchestration workflows</li><li>Ensure data quality, reliability, and scalability across all pipelines</li><li>Collaborate with BI developers, analysts, and business stakeholders</li><li>Implement best practices around versioning, testing, and deployment</li><li>Support real‑time and batch data processing initiatives</li></ul><p><br></p>
<p>We are looking for an experienced Project Manager to lead a critical modernization and cloud migration initiative. This position involves overseeing the transition of legacy systems to a cloud-first model while ensuring smooth operations and compatibility across applications and databases. The ideal candidate will bring expertise in managing complex IT projects and guiding teams through cloud migration efforts with a focus on Microsoft Azure.</p><p><br></p><p>Responsibilities:</p><p>• Manage and oversee the modernization of legacy systems and applications, ensuring all tasks are completed on schedule and align with organizational priorities.</p><p>• Lead coordination across multiple teams, including database engineers, Linux specialists, Azure architects, and internal stakeholders, to maintain project consistency and resolve dependencies.</p><p>• Identify and mitigate potential risks related to system stability, code compatibility, and migration challenges.</p><p>• Provide regular updates to leadership, including status reporting, budget management, and milestone tracking, to ensure project transparency.</p><p>• Facilitate weekly status calls with senior leadership to review project documentation and contractor timesheets.</p><p>• Drive efforts to optimize cloud storage solutions for extensive image data, ensuring compatibility with Azure and other applications.</p><p>• Guide the design and implementation of a robust Azure foundation, supporting a seamless transition to cloud-first operations.</p><p>• Streamline workflows and reduce bottlenecks to ensure the project's success while maintaining alignment with strategic goals.</p><p>• Monitor and stabilize custom services, such as image generation, alerts, and thumbnails, during the modernization process.</p><p>• Consolidate legacy workloads while preparing applications and databases for full cloud migration.</p>
<p>An organization is undertaking a major modernization initiative to transition its aging on‑premise environment into Microsoft Azure. The scope includes upgrading SQL Server and PostgreSQL platforms, modernizing Linux and PHP-based systems, stabilizing custom application services (PDF generation, image processing, OCR, alerting), and consolidating legacy workloads. The team is finalizing Azure landing zone foundations, implementing cloud storage architecture for a large volume of image data, and preparing all applications and databases for a full cloud migration.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li><strong>Perform Azure landing zone cleanup</strong>, including policies, virtual networks, network security groups, logging configuration, and budget controls.</li><li><strong>Implement Azure Blob Storage with CDN</strong> to support large-scale file storage needs </li><li><strong>Complete identity and email modernization tasks</strong>, including decommissioning legacy Exchange components and finalizing Entra ID/identity governance tuning.</li><li><strong>Assist with server migrations</strong>, transitioning workloads from IaaS-based hosting to PaaS services where appropriate.</li><li><strong>Configure CI/CD pipelines</strong> in collaboration with Linux/PHP engineering resources.</li><li><strong>Deploy and configure Azure Backup, Defender for Cloud, Key Vault, and monitoring solutions</strong>, ensuring security and resilience across the environment.</li><li><strong>Migrate custom OCR and PDF processing workloads</strong> into Azure using Virtual Machines or Container Apps.</li></ul><p><br></p>
<p>We’re seeking a <strong>Senior AI Engineer</strong> to help design, build, and deploy intelligent systems that directly impact business outcomes. You’ll work closely with product, data, and engineering teams to turn advanced models into scalable, production‑ready solutions.</p><p>This role is ideal for someone who enjoys working across the full AI lifecycle—from experimentation to deployment—and wants to influence architectural decisions.</p><p>What You’ll Do</p><ul><li>Design, develop, and deploy AI/ML models into production environments</li><li>Build and optimize pipelines for model training, evaluation, and inference</li><li>Collaborate with cross‑functional teams to translate business problems into AI solutions</li><li>Work with large datasets and fine‑tune models for performance, scalability, and reliability</li><li>Contribute to AI architecture, best practices, and technical standards</li></ul><p><br></p>
<p>We are looking for a skilled Linux Engineer who will play a key part in stabilizing and modernizing Linux systems while preparing them for a seamless transition to Azure. Your expertise in system upgrades, performance optimization, and containerization will be essential as we work to enhance the reliability of our infrastructure and streamline operations.</p><p><br></p><p>Responsibilities:</p><p>• Address and resolve Linux system stability issues through patching, repository cleanup, and operating system upgrades.</p><p>• Transition CentOS systems to Alma 9 or Ubuntu, ensuring workloads are optimized for Azure integration.</p><p>• Manage and optimize PostgreSQL servers, including hardening, performance tuning, and web server configurations.</p><p>• Containerize services with native dependencies, such as ImageMagick, Tesseract, Ghostscript, and wkhtmltopdf, to improve scalability and reliability.</p><p>• Safely decommission older servers by breaking down legacy systems and consolidating workloads.</p><p>• Design and implement cloud storage solutions for large-scale image data, supporting compatibility with applications and databases.</p><p>• Collaborate on Azure foundation work, ensuring infrastructure is prepared for a cloud-first approach.</p><p>• Monitor and stabilize custom web services, addressing dependencies and improving performance.</p><p>• Enhance the security and performance of Linux environments through system hardening initiatives.</p><p>• Support application and database compatibility during modernization efforts</p>
We are looking for a highly skilled Senior Software Engineer with expertise in artificial intelligence and machine learning to join our dynamic team in Jacksonville, Florida. This role demands a strong technical background and hands-on experience in developing and operationalizing cutting-edge AI solutions. You will have the opportunity to innovate and create impactful systems using the latest advancements in generative AI, reinforcement learning, and large language models (LLMs).<br><br>Responsibilities:<br>• Design and optimize large language models (LLMs) for specialized applications.<br>• Implement reinforcement learning algorithms and multi-agent systems to enhance automation capabilities.<br>• Develop generative AI tools for efficient data retrieval and visualization.<br>• Establish and maintain MLOps pipelines to ensure seamless deployment and monitoring of AI models.<br>• Collaborate with cross-functional teams to align technical solutions with business needs.<br>• Conduct ongoing research to integrate the latest AI advancements into system designs.<br>• Troubleshoot and resolve technical challenges related to AI model performance.<br>• Document processes and provide technical insights to stakeholders.<br>• Ensure compliance with industry standards and best practices for AI development.
