Top Senior Level Python Jobs in Orlando, FL

The Senior DevOps Engineer at Hashgraph will support operations for consensus nodes in the Hedera platform, focusing on automation to enhance configuration management and infrastructure. Responsibilities include managing cloud workloads, creating workflows with Terraform and Ansible, and providing 24/7 operational support. The role demands strong expertise in DevOps practices and experience with various cloud services.

The Senior Genesys DevOps Engineer is responsible for guiding cloud implementation strategies, optimizing Genesys Cloud infrastructure, and leading automation initiatives. The role involves designing monitoring strategies, integrating REST APIs, and driving the adoption of DevOps tools to enhance efficiency and scalability.

The Python Developer (GCP) will utilize advanced skills in Python programming and data engineering to build scalable ETL pipelines using big data technologies. The role involves optimizing data solutions, debugging complex issues, and collaborating with cross-functional teams, focusing on cloud-native solutions in GCP or Azure.

The SDET will develop, execute, and verify test cases, collaborate with development teams on automation, report on testing outcomes, and establish defect tracking processes while ensuring quality standards are met.

As a Senior Site Reliability Engineer, you'll monitor production environments, design and enhance Azure-based infrastructure, and implement disaster recovery strategies, ensuring high availability and compliance while collaborating with engineering teams to improve system performance.

As a Senior Backend Engineer, you will drive impactful projects for the Customer Experience team, prioritizing engineering efforts, leading project execution, designing and implementing systems, and mentoring engineers. You'll ensure the team's success while maintaining high standards of engineering quality and availability.

As a Core AI Engineer, you will develop and deploy end-to-end Gen AI applications, build scalable AI systems, and work with advanced technologies in NLP and predictive analysis. You will collaborate with various teams to integrate AI models into both existing and new applications, automate model deployment through MLOps pipelines, and ensure efficient data processing and feature engineering.