Principal Backend Engineer

Principal Backend Engineer - Agentic at Invisible Technologies

About Invisible
Invisible Technologies is the AI operating system for the enterprise. Our end-to-end AI Software Platform structures messy data, builds digital workflows, deploys agentic solutions, evaluates/measures impact, and mobilizes relevant human experts. Invisible has trained foundation models for more than 80% of the world's leading AI model providers, including Cohere, Microsoft, and AWS, and we have the expertise to customize AI for any industry, function, or use case.

About The Role
We are seeking a highly experienced Principal Software 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 Principal Software 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.

• 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
• Participate in an on-call rotation to handle potential incidents

• 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

• 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

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. For this position, the annual salary ranges by location are: Tier 1 $103,000 - $115,000 USD. Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Additional details on total compensation and benefits will be discussed during the hiring process.

We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. If you object to our use of automated decision-making please contact us.

Accessibility Statement: We're committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at

AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Click here to learn more about how we use AI and our guidelines for candidates.