Principal Systems Engineer - Remote

Overview

Invisible Technologies is the AI training and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production. Invisible’s unique AI Process Platform combines elite global human expertise, cutting edge technology, and deep institutional knowledge gained by training 80% of the world’s leading AI models. Trusted by AWS, Microsoft, and Cohere, we have an unparalleled ability to operationalize AI for real-world applications. Our explosive growth landed us the #2 spot on the Inc. 5000 in 2024, closing the year on $134m revenue.

In Short

• Design, implement, and maintain sophisticated workflow and event-driven systems
• Develop isolated execution environments using containers (Docker, Kubernetes)
• Create and optimize runtime environments for performance and reliability
• Architect, implement, and maintain modular systems and robust APIs (e.g., GraphQL subscriptions)
• Conduct complex debugging sessions and resolve challenging system-level issues
• Optimize memory management strategies to enhance system efficiency
• Utilize Autogen 0.4 extensively to automate and streamline engineering processes
• Design and implement enterprise software systems with an emphasis on security, operations, observability, and identity management
• Ensure rigorous security standards and compliance with enterprise security policies
• Integrate robust observability tools (logging, metrics, tracing) to enhance monitoring and troubleshooting capabilities

Requirements

• Deep expertise in container technologies (Docker, Kubernetes)
• Demonstrated mastery of workflow systems, event-driven architectures, and API development (e.g., GraphQL subscriptions)
• Extensive experience in memory management, debugging complex systems, and creating runtime environments
• Solid understanding and experience with modular software architecture
• Experience designing and managing enterprise software systems focused on security, operations, observability, and identity
• Experience with cloud platforms (AWS, Azure, GCP)
• Extensive proficiency with version control systems, particularly Git

Benefits

• Compensation reflects market conditions and the value each team member brings
• Salary tiers range from $187,000 to $255,000 based on experience and location
• Bonuses and equity included in offers above entry level
• Unique offers based on location and job-related experience
• Flexible remote work environment
• Support for professional development and growth
• Commitment to diversity and inclusion in the workplace