Top Remote Systems Engineer Jobs in Denver & Boulder, CO

Lead the design and delivery of scalable distributed systems to simplify cloud computing for Netflix engineers, improving efficiency and safety.

Assist in the deployment and maintenance of cloud infrastructures within AWS GovCloud, manage virtualized appliances, and support cybersecurity operations.

As a Senior ML Ops Engineer, you'll build ML infrastructure, implement automated deployment, optimize model serving, and ensure production performance.

Lead the design and validation of fuel systems for AI-powered aircraft, overseeing the full lifecycle from concept to flight testing while mentoring engineers and ensuring technical excellence in cross-functional integration.

The Systems Engineer IV will lead the design and execution of building automation systems, providing technical support in various sectors and mentoring junior engineers, all while coordinating with project stakeholders to ensure successful project delivery.

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 Systems Engineer will architect and implement solutions for queueing systems and state stores, improve throughput and latency, and collaborate with teams to enhance the user experience.

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 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.

As a Staff Backend Engineer, you will design automation systems, improve data integrity, and mentor engineers while focusing on reducing operational costs and enhancing reliability.

Design, develop, and maintain data systems and real-time APIs, ensuring high performance and reliability for Netflix's services. Collaborate with teams and drive innovation in fast-paced environments.

Lead design and scalability of AWS cloud infrastructure, manage CI/CD pipelines, implement automation, ensure system reliability and security, and mentor junior engineers.

As a Principal Engineer, you'll lead the design and implementation of AI systems, influencing architecture and guiding teams while ensuring reliable and explainable AI solutions.

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.