Principal Software Engineer - AI Integrations

Responsibilities

• Design and build scalable cloud native systems, automation platforms, and intelligent operational tooling.
• Use AI assisted development workflows as the primary engineering model for software design, implementation, debugging, testing, and documentation.
• Build systems where humans supervise and orchestrate intelligent automation rather than manually executing repetitive engineering tasks.
• Rapidly prototype and productionize solutions using modern AI native development environments and agentic workflows.
• Develop internal developer platforms, APIs, operational workflows, and AI enabled engineering systems.
• Improve engineering productivity through intelligent automation, workflow orchestration, and self-service tooling.
• Partner across engineering, infrastructure, and operations teams to solve complex technical and operational challenges.
• Drive operational excellence through observability, automated remediation, telemetry, and resilient system design.
• Contribute to architecture, technical strategy, and engineering best practices across the organization.
• Mentor engineers in modern AI native development practices and automation first engineering approaches.

Qualifications

• Experience with modern AI native development environments and agentic workflows.
• Strong understanding of cloud native systems and automation platforms.
• Ability to rapidly prototype and productionize solutions using AI.
• Experience in designing and building intelligent systems, internal platforms, and operational tooling.
• Proficiency in programming languages relevant to cloud native systems and automation platforms.
• Excellent problem-solving and analytical skills.
• Ability to work collaboratively with cross-functional teams.
• Experience mentoring and training others in modern AI native development practices.