CTO Operations Engineer

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation.

Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun!

Minimum Qualifications

• 3 - 6 years of hands-on experience as a Software Engineer, Data Engineer, SRE, or Solutions Engineer.
• B.Sc. in Computer Science, Software Engineering, Mathematics, or a related scientific field.
• Proficiency in querying and analyzing large datasets with Python and advanced SQL on platforms like Snowflake or BigQuery to diagnose system bottlenecks and deployment failures.
• Experience with modern data modeling tools and building reliable data pipelines.  
• Daily hands-on experience with AI-assisted development tools like Cursor or Claude Code, alongside strong prompt engineering skills.
• A proven track record of taking manual, "friction-heavy" processes and building automated, scalable engineering solutions.

Preferred Qualifications

• Experience with AI agent architectures, RAG concepts, and auditing AI model outputs for accuracy and reliability.
• Familiarity with cloud and infrastructure environments such as AWS, GCP, Linux, Docker, Git, and Terraform.
• Strong ability to translate complex technical friction into structured roadmaps, establish metrics, and drive execution end to end.