Production AI Engineer

Check Point Software Technologies•Atlanta, GA

1d•$145,000 - $165,000•Remote

About The Position

At Check Point, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation. Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen. This is where innovation meets real-world impact. You’ll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems. We’re proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture. What really sets Check Point apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely. If you’re excited to work at the forefront of AI-driven security on a global scale, this is the place to do it. Check Point Harmony Email Security and Collaboration (Previously AVANAN) is a unique email solution that fully secures cloud email and cloud platforms using AI. Check Point is seeking a promising and talented Production AI Engineer to join our Production and DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps group, this is your opportunity to help make the world a safer place!

Requirements

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.
Must be eligible to work in the US without sponsorship from an employer now or in the future.

Nice To Haves

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.

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.