Top Remote Senior Level Linux Jobs in Minneapolis, MN

The Senior DevOps Engineer will lead the design and implementation of systems for Seekr's search technologies, work with software teams for scalable services, automate operational processes, troubleshoot deployment issues, and ensure reliability in production systems.

As a Principal Engineer on the database engine team, you will lead the design and development of core features of SingleStore's database engine, solve complex technical problems, mentor other engineers, and collaborate with various departments to optimize customer experiences.

As a Sustaining Engineering Manager at Canonical, you'll manage a distributed team of engineers, ensuring their growth and the timely delivery of software fixes for business needs, while advocating for modern software practices and fostering a collaborative culture.

As a Senior Full Stack Developer at PVM, Inc., you will design, develop, and maintain innovative technical solutions for public health and environmental initiatives. Your role includes collaborating with teams to integrate front-end and back-end systems, optimizing database queries, and managing cloud-based applications using AWS. You will also mentor team members and participate in code reviews.

The Network Systems Engineer at IntelliDyne will maintain and support the system's environment, focusing on troubleshooting server, network, and storage infrastructure, building and configuring server infrastructure, and providing WAN/LAN/MAN support. Responsibilities include writing scripts for daily operations, VoIP support, and developing system design documentation.

The Senior Database Reliability Engineer will manage and ensure reliable operations of various database systems including MongoDB, PostgreSQL, and others on AWS. Responsibilities include performance tuning, backup reliability, disaster recovery, and automating database tasks. The role requires collaboration with engineering teams and participation in incident resolution, as well as contributing to roadmap planning and agile practices.

Manage AWS Cloud infrastructure for Data Science and Machine Learning environments. Resolve user problems, automate tasks, and improve overall operational costs and user experience.