Top Remote Senior Level Software Engineer Jobs in Minneapolis, MN

As a Sales Engineer at Doodle Labs, you will lead the sales process for high-performance wireless networking solutions, work with the inside sales team, maintain sales opportunity pipelines, and engage with clients and engineers to grow business relationships. Travel is required for customer meetings and trade shows.

The Sr. Data Expert will lead analytics processes using complex tools to develop optimized analytical solutions for AML operations. Responsibilities include overseeing data assets, ensuring compliance with governance standards, and analyzing results to advise management. Strong communication skills and a background in KYC and data quality management are critical.

The Senior Software Engineer will develop video ingestion, transcoding, and packaging workflows for Crunchyroll, collaborate with teams to implement software solutions, mentor junior engineers, and promote best practices in software development.

As a Senior Solutions Engineer at Flatfile, you will implement Flatfile within ADP, focusing on seamless integration and customer satisfaction. Your responsibilities include configuring Flatfile’s data exchange platform, designing custom solutions, troubleshooting technical challenges, and ensuring a successful customer journey from implementation to ongoing support.

The Lead Site Reliability Engineer (SRE) will ensure the reliability and performance of Trumid's trading platform. Responsibilities include optimizing infrastructure, managing incident responses, automating tasks, and collaborating with development and DevOps teams to embed reliability practices. This role requires innovation in system solutions to support a growing client base.

The Director of Software Engineering will create a strategy for integration and performance testing, leading teams to ensure performance and data consistency across software products. Responsibilities include defining testing approaches, addressing challenges in delivery quality, and enabling team skill development while driving continuous improvement in testing practices.

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.