Top Software Engineer Jobs in Detroit, MI

The Senior Solutions Consultant at Cority will collaborate with sales and engineering teams to enhance sales win rates and ensure smooth transitions to professional services. Responsibilities include creating proposals for the Cority EHSQ Platform, understanding customer needs, fostering partnerships for project profitability, and guiding customers on change management for successful solution deployment.

The Lead Software Engineer will implement product features, oversee product architecture and quality, and mentor colleagues. The role requires ownership of the user experience and collaboration within the engineering team to develop a full stack web application for creating presentations.

As a Senior Full-Stack Engineer, you will design, build, and maintain user experiences and foundational services for 401(k) plans, collaborate with teams, and ensure systems are observable, maintainable, and scalable. You will also contribute to engineering standards and mentor other engineers.

As a Backend Software Engineer, you will develop and implement products and features from concept to deployment, collaborating with cross-functional teams and addressing technical challenges to enhance performance and scalability. You will also perform code reviews and engage in mentoring.

The role involves developing risk defenses to protect against fraud and abuse across Plaid products. Responsibilities include leading projects, collaborating with cross-functional teams, and automating responses to ongoing fraud attacks.

As a Pre-Sales Consultant, you will demonstrate how Poka integrates with manufacturing departments, leveraging lean principles to drive operational excellence and enhance workforce collaboration. Responsibilities include customizing product demonstrations, forming relationships with clients, and providing technical expertise on software and hardware solutions.

The VP of Engineering, Data at Axios will lead the data engineering, data science, and analytics teams, overseeing the data platform's architecture and infrastructure. They will manage the data leadership team, set the vision and strategy for data initiatives, ensure alignment with company goals, and foster a diverse and inclusive environment.