Top Remote Entry Level QA Engineer Jobs in Tampa Bay, FL

As a Data Ops Engineer at Deep 6 AI, you will oversee the execution of the data pipeline, implement monitoring and alerting measures, ensure data quality, collaborate with cross-functional teams, and support various projects to enhance data sufficiency and pipeline health.

The Software Engineer will design, implement, and maintain APIs, leverage AWS for infrastructure management, optimize backend data stores, and collaborate with a team to support educational software products. Responsibilities include troubleshooting complex systems, optimizing performance, and participating in the full life-cycle of software development.

The RPA Developer at Amitech Solutions will develop robotic process automation workflows using UiPath, ensuring high-quality deliverables and adherence to development standards. Responsibilities include collaboration with business analysts, developing unit tests, and maintaining documentation to support automation projects, helping improve healthcare operations.

Lead the design, development, and maintenance of fullstack systems for Coinbase Commerce using various programming languages. Drive technical vision and strategy, collaborate with teams, and optimize smart contracts for seamless crypto payment processing.

The Solution Architect will work with customers to design and implement solutions, collaborate with internal teams to address challenges, and engage in strategic discussions to drive platform adoption. Responsibilities include creating onboarding plans, conducting training sessions, and contributing to product enhancements based on customer feedback.

As a Site Reliability Engineer, you will ensure the stability, resilience, and scale of services through automation and engineering. You'll work collaboratively within a team, taking ownership of tasks, and promoting a culture of innovation while maintaining high standards for quality and performance.

The Technical Success Engineer will provide first-line technical support for customers using the AI data platform. Responsibilities include analyzing technical issues using SQL and Python, documenting investigations to help engineering teams, identifying process improvements, and fostering customer relationships to promote efficient case resolution.