Cyber Security Engineer - Automation

Summary

VERSANT is a media and entertainment company operating across news, finance, golf, sports, and entertainment markets. The Junior Automation Security Engineer builds and supports Python- and cloud-based security automations, GitHub Actions workflows, Terraform changes, and secure AI-assisted agents under senior guidance.

Responsibilities

• 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
• 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
• 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
• 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
• 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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• Health insurance may be included as an additional benefit.
• Retirement plans may be included as an additional benefit.
• Paid time off may be included as an additional benefit.