Principle Systems Engineer

Summary

Join Invisible Technologies, a leading AI training and scaling partner, as a Principal Systems Engineer. You will leverage your 20+ years of low-level Linux systems expertise and 10+ years of Python programming experience to design, develop, and maintain sophisticated workflow systems. Responsibilities include managing execution isolation, creating runtime environments, developing APIs, and optimizing memory management. You will also conduct complex debugging, architect modular systems, and ensure robust security standards. The role requires collaboration with cross-functional teams and providing mentorship to junior engineers. Invisible offers competitive compensation, bonuses, and equity.

Requirements

• Minimum 20 years of (equivalent) experience in low-level Linux systems engineering
• At least 10 years of professional experience with Python programming
• 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
• Strong ability to document designs, specifications, and implementation details
• Excellent communication skills, capable of clearly conveying complex technical concepts to technical and non-technical stakeholders

Responsibilities

• 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
• Implement identity management solutions, including authentication, authorization, and access control
• Provide mentorship and technical leadership to junior engineers
• Collaborate closely with cross-functional teams, including product management and operations
• Establish and promote engineering best practices and coding standards

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent experience
• Experience leading engineering teams or projects
• Familiarity with continuous integration and continuous deployment (CI/CD) pipelines
• Certifications relevant to Linux, containerization, and cloud technologies
• Strong understanding of security best practices in systems engineering
• Exceptional analytical and problem-solving abilities
• Strong organizational and leadership skills
• Excellent interpersonal skills, including collaboration, negotiation, and conflict resolution
• Self-motivated, proactive, and capable of driving projects independently
• Profound understanding and practical experience with Autogen 0.4
• A desire to develop the most consequential AI software system of the future!

Benefits

• Bonuses and equity are included in offers above entry level
• Remote work