Top QA Engineer Jobs in Ann Arbor, MI

The Engineering Manager will lead a Media team to enhance user experience in Rise 360, focusing on media management and generative AI experiences. Responsibilities include leading feature implementation, engaging in technical work, mentoring team members, and overseeing project management processes to ensure efficient workflows and high-quality deliverables.

As a Core Engineer at FLASH, you'll develop scalable APIs and services primarily using Ruby on Rails and sometimes Go. Your work will involve complex pricing models and transaction processing, alongside collaboration with teams to digitize access to parking and EV charging facilities.

As a Full Stack Software Engineer, you will develop and maintain CardFlight's web products, collaborate with various teams, and drive technical innovation while ensuring high-quality, scalable applications. In addition, you'll support technical issues faced by the operations team, contributing to a culture of continuous improvement.

As the Engineering Manager at Clipboard Health, you will lead, mentor, and optimize engineering teams, ensuring high-quality delivery and alignment with product goals. You will provide technical guidance, manage performance, oversee hiring, and foster a growth mindset among team members while solving technical challenges collaboratively.

The Software Engineer in Cryptography at Aptos will define cryptography principles, establish standards, evaluate cryptographic libraries, implement and audit cryptographic schemes, publish research, and contribute to the blockchain code stack. This role requires collaboration with engineering and partner teams to advance cryptographic practices within the Aptos ecosystem.

As a Research Engineer, you will innovate and translate cutting-edge research into user experiences, prototype workflows, and collaborate with design partners to validate real-world use cases. Your role involves empirical demonstration of data-centric model iteration and contributing to novel research in machine learning, particularly in computer vision and multimodal data.

The Specialist Solutions Architect - Data Engineering will guide customers in building big data solutions using Databricks and Apache Spark. Key responsibilities include designing data pipelines, providing technical leadership, assisting in complex technical sales, and contributing to community engagement. The role requires hands-on production experience and expertise in data engineering and ingestion.