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Open much longer than usual for this role — may be a talent pool
Trevo
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Job Description
About the role
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!
What you'll do
Work closely with domain leads to identify technical bottlenecks across product lines and engineering workflows.
Help build and maintain the Unified Maturity Table, defining technical parameters such as workflows, support packages, and other metrics along with their KPIs that conclude a domain readiness and maturity.
Partner with the team to refine internal AI agents by measuring the performance of their answers against human expert interventions.
Use AI and cluster analysis on support ticket descriptions to identify recurring patterns, then design and implement automated workflows to streamline resolution.
Take part in driving the department’s "operating system" by facilitating design meetings, managing cross-domain syncs, and ensuring the documentation and support packages required for daily execution are current and actionable.
Define and implement different thresholds by analyzing support ticket complexity, resolution times, and domain-specific friction.
Transition static maturity reports into live, dynamic dashboards with trend lines.
Lead design meetings to establish cross-functional standards for domain maturity and system health alerts.
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.
Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Requirements
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.
Nice to have
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.
About the Job
We are looking for a hands-on CTO Operations Engineer to join the CTO organization at Wiz. In this role, you will focus on improving deployment pipelines and internal tools by digging into logs, finding recurring issues, and reducing manual work.
The role centers on hands-on technical development, including building internal tools, data pipelines, and AI workflows, alongside technical operations such as setting KPIs, dynamic dashboards, and cross-domain alignment.