Principle Systems Engineer
About The Role
We are seeking a highly experienced Principal Systems Engineer to join our dynamic engineering team. The ideal candidate will possess over 20 years of extensive low-level Linux systems expertise and at least 10 years of robust Python programming experience. The Senior Systems Engineer will be responsible for designing, developing, and maintaining sophisticated workflow systems, managing execution isolation through containerization, creating and optimizing runtime environments, and developing and integrating APIs. Additionally, the candidate should demonstrate exceptional skills in memory management, complex debugging, modular system architecture, and event-driven architectures.
What You’ll Do
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
What We Need
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
Nice to have
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!
What’s In It For You
Compensation:
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.
Principle Systems Engineer
About The Role
We are seeking a highly experienced Principal Systems Engineer to join our dynamic engineering team. The ideal candidate will possess over 20 years of extensive low-level Linux systems expertise and at least 10 years of robust Python programming experience. The Senior Systems Engineer will be responsible for designing, developing, and maintaining sophisticated workflow systems, managing execution isolation through containerization, creating and optimizing runtime environments, and developing and integrating APIs. Additionally, the candidate should demonstrate exceptional skills in memory management, complex debugging, modular system architecture, and event-driven architectures.
What You’ll Do
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
What We Need
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
Nice to have
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!
What’s In It For You
Compensation:
Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.