Top Remote Senior Level Software Engineer Jobs in Minneapolis, MN

Lead and inspire a remote team of software engineers, managing technical execution and collaboration to deliver impactful AI features.

Responsible for developing a high-performance Windows agent using Go, interfacing with low-level Windows APIs and ensuring reliable data communication with the web portal. Will mentor junior engineers and collaborate with cross-functional teams.

The Engineering Manager, Security will lead engineering and security initiatives to secure endpoints and applications, mentor teams, and drive strategic vision. Responsibilities include designing security solutions and ensuring compliance while balancing user experience with security.

The Staff Backend Engineer will design and maintain backend services, optimize data models, and ensure system reliability and performance, collaborating cross-functionally to deliver high-impact solutions.

Design, build, and maintain backend services for a platform. Ensure performance and reliability in production systems, collaborate on architecture, and oversee long-term strategy.

Lead and scale the AI Center of Excellence, developing innovative AI solutions for cybersecurity, collaborating across functions, and managing a global team.

Lead AI product initiatives on Edge devices, optimize ML models for Edge compute constraints, and develop AI solutions using petabyte-scale data.

Lead the design and implementation of GitLab's authentication infrastructure, focusing on security and performance. Collaborate with multiple teams to ensure effective identity services and support a transition to zero-trust architecture.

Lead development teams to build scalable SaaS solutions, mentor peers, and drive technical strategy to enhance restaurant technology offerings.

The Principal Site Reliability Engineer ensures SaaS products are fast and stable, optimizes performance, automates deployments, and champions best practices for system operations.

The Senior Data Engineer will design scalable data models, optimize datasets in Snowflake, automate data validation, and collaborate with business stakeholders to enhance data quality for executive reporting.