<p><strong>Java Developer III</strong></p><p><strong>Based in Alpharetta, GA</strong></p><p><strong>12 month contract - Potential Extensions</strong></p><p><br></p><p>Responsibilities</p><ul><li>Design, build, and maintain Java/Spring Boot microservices handling audio, video, and image uploads</li><li>Integrate backend services with Azure OpenAI and Azure Speech for transcription, text‑to‑speech, and intelligent data extraction</li><li>Implement secure cloud‑based storage and retrieval using Azure Blob Storage</li><li>Optimize system performance, latency, and reliability for both real‑time and batch AI workflows</li><li>Collaborate with frontend teams on media capture, playback APIs, and workflows</li><li>Partner with cloud, security, and governance teams to ensure compliance, security, and data protection</li><li>Participate in end‑to‑end solution ownership from design through deployment and support</li></ul><p><br></p>
<p><strong>Software Engineer (Databricks/Data Platform)</strong></p><p><strong>Hybrid 3-4 days onsite in Alpharetta, GA</strong></p><p><strong>Duration through 10/30/26</strong></p><p><br></p><p>We are looking for an experienced Software Engineer III to join our team in Alpharetta, GA. In this role, you will play a critical part in supporting and developing a Databricks-based data platform, focusing on creating scalable and efficient solutions during the development phase. This is a long-term contract position, requiring in-office work three to four days per week.</p><p><br></p><p>Responsibilities:</p><ul><li>Develop and support Databricks notebooks, jobs, and workflows</li><li>Write, optimize, and maintain PySpark and Python code for data processing</li><li>Help design scalable, reliable, and efficient data pipelines</li><li>Apply Spark best practices (partitioning, caching, joins, file sizing)</li><li>Work with Delta Lake tables and data models</li><li>Perform data validation and quality checks during development</li><li>Support cluster configuration and sizing for development workloads</li><li>Identify performance bottlenecks early and recommend improvements</li><li>Collaborate with Data Engineers to ensure solutions are production-ready</li><li>Document development standards, patterns, and best practices</li></ul>