Top Remote Systems Engineer Jobs in Chicago, IL

As a Channel Systems Engineer, you will lead technical support for channel partners, providing training and pre-sales assistance to ensure successful integration of products.

The IT Staff Systems Engineer manages and secures IT infrastructure across various platforms, leading complex projects, driving operational improvements, and ensuring compliance with healthcare regulations.

The role involves architecting and managing Netflix's cloud compute infrastructure, enhancing performance and capacity across containerized platforms while ensuring reliability and efficiency.

Design and implement components for a blockchain infrastructure, focusing on distributed systems and AI execution, while ensuring network reliability and performance.

The Alliances Systems Engineer will support strategic technology alliances by providing technical resources, developing solutions, and facilitating joint customer engagements.

The Senior Network Pre-Sales Systems Engineer will engage with customers to deliver technical solutions, drive sales meetings, and build relationships with clients while leveraging expertise in networking and AI infrastructure.

The Senior Application Developer leads complex application design, development, and maintenance, ensuring high quality and performance while mentoring junior team members.

The role focuses on designing, implementing, and maintaining computer systems while collaborating with teams, requiring 10+ hours per week for 3-4 weeks.

The Systems Engineer III provides technical support for building automation systems design in data centers, collaborating with engineers and vendors.

The Systems Engineer IV provides technical support for design deliverables in building automation systems, overseeing project execution and mentoring junior engineers while collaborating with vendors and engineering teams.

The Lead Systems Engineer leads design projects for BAS and EPMS in data centers, ensuring compliance, efficiency, and team management.

The Systems Engineer II provides technical support for Building Automation Systems projects, focuses on engineering documents, assists in pre- and construction activities, and ensures project compliance and reporting.

As a Distributed Systems Engineer, you will architect and build scalable data infrastructure and lead cross-functional projects at Netflix.

The Distributed Systems Engineer will build scalable data infrastructure, enhance data processing systems, and collaborate across teams to leverage data efficiently.

Design and implement scalable backend systems for IoT solutions, integrating LoRaWAN devices, and maintaining communication protocols while collaborating with cross-functional teams.

Lead the architecture and development of machine learning systems for personalized care, treatment intelligence, and automation at scale. Collaborate with cross-functional teams and mentor engineers.

Build and optimize machine learning recommendation systems for personalization at scale, impacting engagement and revenue across platforms.

Build and scale production ML systems for real-time recommendations, optimizing personalization experiences for millions of users. Collaborate with teams for effective feature deployment and continuously improve model performance through rigorous testing.

The Principal ML Engineer will establish personalization strategies, solve complex ML challenges, design advanced ML solutions, and mentor junior engineers.

Lead ML strategy and architecture focused on personalization, solve complex challenges, mentor engineers, and represent the company in the ML community.

As a Lead ML Engineer, you will build ML models for personalized recommendations at scale, enhancing user engagement and business growth through data-driven insights.

Lead the development and optimization of machine learning systems for real-time recommendations, impacting user engagement and business growth.

This role involves developing low-latency data products and building reliable distributed data systems to support algorithms and machine learning at Netflix.

Lead technical vision for ML-oriented data products, architect and build distributed data systems, ensuring reliability and observability. Provide mentorship and shape data architecture decisions to support ML needs.

The role involves ensuring the efficiency of electrical power systems, developing strategic plans, leading projects, and driving sustainability initiatives.