Cyber Security Engineer - Automation

Versant Media; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

VERSANT Media seeks a Security Automation Engineer to design, build, and maintain Python-based automation that reduces manual security work. You will collaborate with security, platform, cloud, SOC, and engineering teams and contribute to GitHub Actions, Terraform, and AWS configurations to improve automation quality.

Ideal candidates will have solid Python skills, REST API experience, and a security-focused mindset, with a willingness to learn Terraform and practice secure AI-assisted

Qualifications

• Strong Python development and debugging skills with REST API work.
• Ability to read, modify, and improve scripts written by others.
• Familiarity with CI/CD concepts and GitHub Actions workflows.
• Basic understanding of AWS services, IAM, networking, and IaC concepts.
• Willingness to learn Terraform through real repository work and document steps.

Responsibilities

• Build and maintain Python scripts, CLIs, API integrations, and scheduled jobs to reduce manual work.
• Write unit tests, logging, error handling, and concise documentation for safe operations.
• Create and maintain GitHub Actions workflows for linting, testing, scanning, packaging, and deployment.
• Read, update, and test Terraform modules and plans with guidance; learn in real projects.
• Collaborate with security, platform, cloud, SOC, and engineering teams to automate recurring problems.

Skills

Python

REST APIs

Git & GitHub

Tools

GitHub Actions

Terraform

AWS

Job description

What You Will Do

Security Automation & Python Build and maintain Python scripts, CLIs, API integrations, and scheduled jobs that reduce repetitive security and operational work. Automate evidence collection, configuration checks, alert enrichment, ticket creation, reporting, and basic remediation workflows. Write unit tests, logging, error handling, and concise documentation so automations are safe to operate and easy to support.

GitHub, CI/CD & Infrastructure as Code

Contribute to repositories using pull requests, code review, branching, issue tracking, and dependency hygiene. Create and maintain GitHub Actions workflows for linting, testing, scanning, packaging, and controlled deployment tasks. Read, update, and test Terraform modules and plans with guidance; help identify insecure cloud configuration patterns before release.

AWS & Cloud Security Foundations

Work with core AWS concepts including IAM, VPC, CloudTrail, CloudWatch, S3, Lambda, EC2, Secrets Manager, and AWS Organizations. Help automate cloud inventory, access reviews, configuration validation, tagging checks, and security findings triage. Follow least-privilege, secrets-management, logging, and change-control practices in all automation work.

AI-Assisted Engineering & Agents

Use approved internal AI coding and productivity tools responsibly for code exploration, test generation, documentation, and prototyping. Practice AI-assisted or "vibe coding" in a disciplined way: validate generated code, protect confidential data, and submit reviewed changes. Help develop narrowly scoped internal agents that call approved tools, retrieve permitted knowledge, and keep a human approval step for impactful actions. Learn core AI security risks, including prompt injection, over-permissioned tools, data leakage, and unsafe agent behavior.

Collaboration

Partner with security, platform, cloud, SOC, and engineering teams to turn recurring problems into reliable automations. Participate in incident follow-up, backlog refinement, peer review, and knowledge sharing.

Required Qualifications

Working proficiency in Python and REST APIs; able to read, debug, and improve scripts written by others. Hands-on experience with Git and GitHub; familiarity with CI/CD concepts and GitHub Actions. Fundamental understanding of AWS services, IAM, networking, logging, and infrastructure-as-code concepts. Basic experience with Terraform or a strong willingness to learn it through real repository work. Comfort learning unfamiliar tools, asking sound technical questions, and documenting work clearly. Security mindset: understands the importance of least privilege, secrets handling, code review, and change control.

Preferred Qualifications

Security tooling, SIEM/SOAR, vulnerability management, ticketing, or cloud operations experience. Exposure to container technologies, Docker, Kubernetes, or policy-as-code. Experience using enterprise AI tools, LLM APIs, RAG, MCP, or agent frameworks in a controlled environment. AWS Cloud Practitioner, AWS Solutions Architect Associate, Security+, or comparable learning path.

How Success Is Measured

Useful, tested automations reduce manual effort and are adopted by their intended teams. GitHub Actions and Terraform changes are reviewed, traceable, and meet agreed security checks. Cloud configuration findings are surfaced accurately and remediated efficiently. AI-enabled workflows stay within approved data, access, and human-approval boundaries.

Level Expectations

Delivers scoped work with guidance and grows into independent ownership of well-defined automations. Escalates ambiguity or risk early and uses established patterns rather than inventing unreviewed controls. Builds breadth across Python, GitHub Actions, Terraform, AWS, and secure AI practices.

As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision.

VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

For LA County and City Residents Only: VERSANT Media will consider for emp