Top Senior Level Linux Jobs in Milwaukee, WI

As an Advanced Software Support Engineer, you will deploy and support software change requests, automate deployment processes, and resolve critical incidents. You will document system-level functionalities, work with deployment tools, and ensure 24x7 customer support, collaborating with teams to enhance software reliability and minimize incidents.

The .NET Developer will support the ESA V program by implementing Okta authentication, developing software applications, consulting with business owners, ensuring project success, and documenting processes. The role requires collaboration in a fast-paced environment and knowledge of various technologies and methodologies.

The Software Application Development Engineer will design, develop, test, and support software applications for factory automation. Responsibilities include collaborating with customers to gather requirements, utilizing modern development methodologies, ensuring quality through testing, and managing technical challenges. The role involves creating technical architectures and automation solutions.

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.