SecOps Engineer

CSC Generation is the AI-native holding company re-engineering omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience, and expand margins. With $1B+ in revenue across 13 brands, our portfolio includes Sur La Table, Backcountry, One Kings Lane, and others that serve as real-world innovation labs.

Reports to: [Reports to: TBD]

Location: Houston, TX (Hybrid); Toronto, ON (Hybrid)

About the Role

The threat landscape has shifted — autonomous AI agents are probing infrastructure at machine speed, chaining misconfigurations, and adapting in real time. We need an engineer who can build AI-aware defenses across our cloud environment and codebases before we need them, not after.

As SecOps Engineer, you will write code, stand up pipelines, and integrate with observability stacks to turn raw signal into actionable security insight across our portfolio's AWS infrastructure. Within 6–12 months you will have production security tooling running in CI/CD, real-time threat detection correlated through ELK and Grafana, and AI-powered perimeter monitoring actively protecting our cloud footprint.

This is a lean team. You will own a lot, move fast, and make decisions with full end-to-end responsibility.

What You'll Do

Build and run analysis tools that scan existing codebases for security vulnerabilities and produce clear, actionable remediation guidance for engineering teams.

Integrate automated security scanning into GitHub Workflows (CI/CD) so every commit and PR is continuously reviewed for new vulnerabilities.

Design and build threat detection tools that work alongside observability platforms (ELK, Grafana) to correlate signals and identify active security threats in real time.

Build or deploy AI-powered tools that monitor the cloud perimeter (AWS) for anomalous or malicious activity and drive automated or semi-automated response.

Own the full lifecycle of security tooling you build — from prototype to production — including monitoring for reliability and false-positive rates.

Partner with engineering teams to help them understand and act on findings, and iterate on tooling based on their feedback.

Translate security findings into specific, understandable remediation steps for engineers who may not have deep security backgrounds.

Required Qualifications

Hands-on experience with AWS infrastructure (IAM, VPC, networking/security groups, common compute/storage services) and how they are commonly misconfigured or attacked.

Experience working with GitHub Workflows / GitHub Actions and building CI/CD-integrated tooling.

Practical experience using AI/LLM tools to build analysis or automation tooling (e.g., code review, log analysis, anomaly detection, or classification).

Strong understanding of common application and infrastructure vulnerability classes (OWASP Top 10, cloud misconfigurations, supply chain risks).

Comfort working with observability/monitoring platforms such as ELK and Grafana, including building dashboards, alerts, or custom data pipelines.

Solid software engineering skills — comfortable writing production-quality code (Python, Go, or similar) to build tools, not just configure existing ones.

Ability to communicate security findings clearly and translate vulnerabilities into concrete remediation steps.

Preferred Qualifications

Offensive security experience (penetration testing, red teaming, exploit development), especially using AI/LLM-based tools to attack or stress-test infrastructure — and the ability to translate offensive findings into defensive tooling.

Experience with SIEM/SOAR platforms and building automated response playbooks.

Relevant certifications (OSCP, GCIH, AWS Security Specialty, or similar).

Experience with infrastructure-as-code (Terraform, CloudFormation) from a security-review perspective.

Familiarity with container/Kubernetes security.

Why Join

The people who do best here are builders. They take ownership, move fast, and want to see the direct impact of their work.

Cross-Functional Impact: Your tooling will touch every engineering team across the portfolio — securing codebases, pipelines, and cloud infrastructure at scale.

AI-First Skill Building: Build with cutting-edge AI/LLM tooling for both offensive and defensive security on a modern AWS and observability stack.

End-to-End Ownership: Own the full lifecycle of security tooling from prototype through production — architecture, code, deployment, and iteration are yours.

Competitive Benefits (US): Paid time off policies, 401(k) match, medical/dental/vision and a variety of supplemental policies, and employee discounts across our portfolio of brands.

Competitive Benefits (Canada): Paid time off policies, RRSP match, medical, dental, and vision coverage, a variety of supplemental benefit options, and employee discounts across our portfolio of brands.

Interview Process

1. Recruiter Screen - A 30-minute conversation with our recruiting team to align on the role, your background, and what you are looking for.
2. Hiring Manager Interview - Deep dive into your security engineering experience, AWS infrastructure knowledge, and approach to building automated security tooling.
3. Technical / Case Discussion - A hands-on conversation covering vulnerability analysis, CI/CD security integration, and AI-driven threat detection approaches.
4. In-Person Interview - We'd like to meet you at our Houston or Toronto office. Details and logistics will be arranged with your recruiter.
5. Reference Checks - Conducted in parallel with the final stages where possible.
6. Offer - We move quickly for the right candidate.

Interview process is subject to change. Any updates will be communicated promptly and clearly.

Please Note

Part of our interview process is a mandatory in-person interview with someone on our team prior to an offer. Candidates that are unwilling or unable to meet for an in-person interview will be removed from consideration immediately.

Due to a high volume of fraudulent applications, you must share a valid LinkedIn profile URL in the application questions below to be considered. If you do not have a LinkedIn profile, you must provide a credible reason in that field and supply alternative evidence of your professional background to verify your identity.