Top Senior Level DevOps Jobs in Miami, FL

As a Sr. Workday Solution Architect, you'll lead teams to deliver client solutions across the Workday Talent suite, facilitating design workshops, translating business requirements, and providing leadership to junior consultants. You'll engage in early sales conversations to define project scope, craft solutions, and develop relationships with key stakeholders.

As a Backend Engineer, you will architect and maintain backend systems for VALR, ensuring scalability and reliability. Your role includes developing Kotlin-based services, implementing APIs, managing cloud infrastructure, and collaborating with teams to enhance platform features while adhering to coding standards.

The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.

Lead QA efforts for FDA project compliance, manage QA processes, oversee QA team, develop test plans and procedures, conduct audits, and ensure adherence to quality standards and FDA regulations.

The Technical Solution Architect will oversee and deliver Salesforce solutions as a trusted advisor and mentor, conducting research, creating prototypes, and refining backlogs. Responsibilities include managing the design, deployment, and quality assurance of solutions, along with ensuring stakeholder alignment and effective communication throughout the project lifecycle.

As a Senior Software Engineer at WellSaid, you will develop features for their AI-powered Text-to-Speech application, collaborate with teams to improve UI/UX, and mentor junior engineers. You will work on the creative studio that enhances user experience for audio generation and lead technical decisions.

As a Staff Software Engineer on the Batch Compute team at Tecton, you will architect, design, and scale compute engines and storage architecture for AI applications, leading multi-engineer projects and improving engineering practices, while developing solutions to enhance machine learning systems.