Top Senior Level Hardware Engineer Jobs in Orlando, FL

As a Specialist Solutions Architect in Data Engineering, you will guide customers in building big data solutions on Databricks, providing technical leadership and expertise. Responsibilities include architecting data pipelines, assisting in advanced technical sales, training, and contributing to the Databricks community. Proficiency in big data technologies, such as Apache Spark and data engineering practices, is essential.

The IT Risk Developer role involves designing, building, and maintaining Middle Office Market and Credit Risk systems at MUFG. Responsibilities include developing .NET Core Web APIs, managing Azure Data Lake, and performing testing and debugging tasks. This role requires collaboration with business users for functional changes and mentoring junior developers while ensuring high-quality software delivery.

The Staff Cloud Network Engineer will design, implement, and maintain cloud network architectures using AWS services. Responsibilities include automating cloud networking, optimizing network performance, implementing security controls, and troubleshooting complex network issues. They will collaborate with various teams and participate in an on-call rotation to support the infrastructure.

As a Staff Engineer at Cardata, you will design and develop both front-end and back-end applications, collaborate with cross-functional teams, implement features and bug fixes, and lead junior engineers. Tasks include writing maintainable code, participating in code reviews, implementing automated testing, and defining technical requirements to ensure high-quality software delivery.

As a Sr. DevOps Engineer, you will manage and maintain compute infrastructure, support community network providers, assist customers with deployments, and contribute to improving systems and documentation. You will leverage automation tools and participate in discussions within the community.

The Senior Site Reliability Engineer will support and monitor MachineFi's infrastructure, deploy and maintain services, improve internal reliability, provide release pipelines for engineers, debug production issues, and ensure efficient operations across service levels.

As a Senior Backend Software Engineer focused on ML Infrastructure, you will architect, design, and deploy backend services that support the Detection Engine. Your role involves collaborating with Machine Learning Engineers to enhance their platforms, mentoring junior staff, and driving ambitious project goals to improve system scalability and performance.