Top Remote Senior Level Hardware Engineer Jobs in Orlando, FL

The Senior Full Stack Software Engineer at MetLife will design, develop, maintain, and implement software solutions within the Long-Term Care system. Responsibilities include using Agile methodologies, collaborating with team members, ensuring secure coding practices, and managing complex systems across various database technologies.

As a Senior MLOps Engineer, you will build machine learning products, write data pipelines, optimize LLM deployment, design software for model deployment, and collaborate with teams to enhance user experiences and software solutions.

As a Software Engineer Principal Sr at PNC, you will lead the design, development, and maintenance of software solutions, guide colleagues through technical challenges, and ensure innovative technology architecture across product lines, while adhering to security trends and risk management frameworks.

The Sr Software Engineer will provide expertise in systems analysis, application development, and integration to support business needs. Responsibilities include leading teams on projects, designing and developing applications, mentoring staff, and coordinating activities across IT areas. The role also involves evaluating client requirements and recommending efficient solutions.

The Solidity Engineer will design, develop, and maintain blockchain-based solutions for a stablecoin ecosystem, focusing on smart contracts and decentralized applications. Responsibilities include integrating with financial systems, conducting audits, optimizing security and transaction speeds, and mentoring junior developers.

Lead development of components and user experience related to sensitive data identification and classification. Coordinate design, development, and deployment across engineering teams. Ensure quality through code reviews and best practices.

The Senior Software Engineer II in AI Research will develop and implement AI technologies to advance drug development processes, collaborate with multidisciplinary teams, and scale AI models effectively while staying updated on trends in AI and software development.