Production AI Engineer

Key Responsibilities

• Act as a Production Engineer within a highly skilled team, responsible for large-scale operations from development to production.
• Design, develop, and maintain the production platform, including operating systems, containers, cloud orchestration, and full end-to-end automation.
• Implement tools and procedures for monitoring, deployment, and alerting across our SaaS multi-tenant product family.
• Participate in the large-scale migration of a highly complex system into a secured, regulation-compliant environment.
• Continuously improve our cloud infrastructure to ensure fault tolerance, scalability, and security.
• Plan capacity, stabilize, and enhance the performance of application infrastructure with cost efficiency and scaling in mind.
• Design and shape our monitoring and logging solutions.
• Execute all tasks with top-notch cloud infrastructure security as a guiding principle.

Qualifications

• Hands-on mindset – we all write code daily! We all handle production issues
• 3+ years of relevant DevOps/Production experience building CI/CD pipelines for both development and production – must.
• 2+ years of AWS Cloud experience working with distributed systems and microservices services – must.
• Strong scripting skills, with fluency in Python – must.
• Experience with AI tools and Agent development – must.
• Experience with containers and orchestration tools (Docker, Kubernetes, or ECS) – must.
• Experience with CI integration tools such as Jenkins.
• Familiarity with AWS CloudFormation – an advantage.
• Exposure to a wide range of open-source technologies (Open Telemetry, Nagios, Grafana, Prometheus, etc.).
• Knowledge of best practices in security, performance, and monitoring.
• Proven ability to research, evaluate, and implement new technologies, including running proof of concepts and cost analysis.
• Must be eligible to work in the US without sponsorship from an employer now or in the future.