Note: The job is a remote job and is open to candidates in USA. VERSANT is a media and entertainment business operating across news, finance, golf, sports, and entertainment markets. The Junior Automation Security Engineer will build and support Python-based security automations, CI/CD workflows, infrastructure-as-code changes, cloud security processes, and controlled AI-assisted tools 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
Benefits
- May include health insurance, retirement plans, and paid time off.
Company Overview
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