Top Hybrid Software Engineer Jobs in Minneapolis, MN

Join NBC Sports Next as a Senior .NET DevOps Engineer to build and support core infrastructure for GolfNow Platform services. Responsibilities include managing on-premise and cloud infrastructure, developing CI/CD solutions, troubleshooting incidents, and collaborating with Cyber Security Team.

Seeking a seasoned sales executive to join the Manufacturing and Distribution team in the Midwest. Responsibilities include sales execution, planning, and developing new client relationships. Requires 5+ years of MRD industry sales experience and the ability to craft strategic plans to close projects and services.

Lead Staff Laboratory Engineer with expertise in automotive industry testing and conformity standards. Responsible for providing technical expertise, leading projects, resolving engineering issues, and developing test methods. Requires 4-8 years of experience and a high school diploma or GED.

The Associate Salesforce Administrator will be responsible for administering the Salesforce platform, providing support to users, monitoring performance, maintaining data quality, and staying up-to-date on Salesforce features and best practices. This role requires a team-oriented mindset, strong analytical skills, and a passion for customer service.

As a Cloud Reliability Engineer specializing in Azure, responsibilities include serving as an Azure Cloud domain expert, supporting product development teams with cloud infrastructure, maintaining secure infrastructure standards, and scaling application infrastructure for a positive customer experience. The role involves onboarding, project work, career development planning, working on improving infrastructure, collaborating with teams, contributing technical expertise, and enhancing monitoring and alerting systems.

Manage and enforce quality assurance operations at a production facility. Develop and implement quality assurance policies and procedures, oversee QA/QC department, lead quality initiatives, ensure compliance with regulations, manage quality control practices, track KPIs, and train QA/QC employees.

Lead the Machine Learning team at Gravie, shaping and directing AI/ML strategy, overseeing ML project lifecycle, mentoring the team, and collaborating with stakeholders to align AI/ML initiatives with business needs.