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Steve Wagner

PROFILE

Steve Wagner

Ciroque developed and maintained the F5 AI Security Operator within the redhat-openshift-ecosystem/certified-operators repository, focusing on secure deployment of AI workloads for Kubernetes and OpenShift environments. Over three months, Ciroque engineered core features such as content moderation, vulnerability scanning, and adversarial testing, leveraging YAML for configuration and Kubernetes Operator patterns for extensibility. The work included designing Custom Resource Definitions and RBAC policies to enable fine-grained security controls, as well as aligning releases for OpenShift compatibility. Through iterative packaging improvements and catalog updates, Ciroque ensured stable, production-ready releases that strengthened governance and maintainability for generative AI applications in cloud-native settings.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

10Total
Bugs
0
Commits
10
Features
4
Lines of code
17,040
Activity Months3

Work History

April 2026

2 Commits • 1 Features

Apr 1, 2026

Month: 2026-04 — Concise monthly summary focused on delivering business value and technical achievements for the certified-operators repository. Key features delivered: - F5 AI Security Operator for Kubernetes/OpenShift v0.7.0 introduced with a CRD for managing AI security components (content moderation, vulnerability scanning, adversarial testing). Includes Kubernetes services and RBAC to enable security controls for generative AI workloads on Kubernetes/OpenShift. Major bugs fixed and stability improvements: - YAML typo corrected and release packaging stabilized. - Workaround implemented to temporarily disable a gating/failing condition (FBC-related) to validate operator flow and release viability. - Catalog updates applied to ensure compatibility across multiple OpenShift versions. Overall impact and accomplishments: - Strengthened security governance for AI workloads in Kubernetes/OpenShift, enabling safer deployment and management of AI-enabled applications. - Improved maintainability and release quality through DRY refactors and catalog harmonization, enabling faster iteration and broader version support. Technologies/skills demonstrated: - Kubernetes Operators, Custom Resource Definitions (CRDs), RBAC and Kubernetes services for security controls. - OpenShift catalog management and version compatibility (v4.17–v4.21). - Release engineering practices: code reviews, packaging, and iterative fixes for stable delivery.

March 2026

2 Commits • 1 Features

Mar 1, 2026

March 2026: Consolidated delivery of the F5 AI Security Operator for Kubernetes AI workloads within redhat-openshift-ecosystem/certified-operators. Implemented a new CRD to manage security operators and introduced core features for content moderation, vulnerability scanning, and adversarial testing, supported by RBAC definitions and metrics service wiring to enhance observability and governance. Completed release alignment with successive patches (0.6.0 and 0.6.1), addressing SHAs and certification readiness to ensure stable releases.

February 2026

6 Commits • 2 Features

Feb 1, 2026

Concise monthly summary for 2026-02 focusing on delivering the F5 AI Security Operator within the certified-operators ecosystem, with emphasis on business value, deployment readiness, and technical excellence.

Activity

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Quality Metrics

Correctness98.0%
Maintainability86.0%
Architecture98.0%
Performance86.0%
AI Usage60.0%

Skills & Technologies

Programming Languages

YAML

Technical Skills

AI IntegrationAI SecurityAI/ML IntegrationCloud InfrastructureDevOpsKubernetesOpenShiftOperator DevelopmentRBAC ManagementSecurity EngineeringYAML Configuration

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

redhat-openshift-ecosystem/certified-operators

Feb 2026 Apr 2026
3 Months active

Languages Used

YAML

Technical Skills

AI IntegrationAI SecurityAI/ML IntegrationCloud InfrastructureKubernetesOpenShift