Cloud DevOps and AI Security Engineer

Responsibilities

• AI Infrastructure and Pipeline Security: As we move to adopt a more AI / Agentic workflow you will help secure emerging AI infrastructure and AI-enabled development by supporting security checks, documenting controls, validating tool configurations, and escalating potential risks under guidance from senior team members.
• Security Monitoring: Review logs, alerts, system activity, and pipeline outputs to help identify, document, and escalate potential vulnerabilities or unusual behavior.
• Cloud Infrastructure Support: Assist in provisioning, configuring, and maintaining core AWS services such as VPC, EC2, S3, IAM, Lambda, Docker, and Kubernetes.
• Infrastructure as Code: Learn, update, and write basic Terraform, Serverless, or AWS CloudFormation templates under guidance from senior team members.
• Access Management: Help manage user permissions and access controls using AWS IAM and least-privilege principles.
• Team Collaboration: Work with developers, QA, and operations team members to troubleshoot issues, document findings, and support safe releases for customer-facing web platforms.
• Deployment Support: Help maintain and improve automated CI/CD pipelines to support safe, reliable, and repeatable software delivery.
• Documentation: Create and maintain clear technical documentation for architecture diagrams, deployment processes, access controls, and security protocols.

Required Technical Skills

• Cloud Fundamentals: Foundational understanding of AWS services, cloud computing concepts, networking basics, IAM, security groups, and common web infrastructure patterns.
• Cloud Security Fundamentals: Basic familiarity with least privilege, access controls, encryption, secrets management, logging, and secure configuration practices.
• Security Monitoring and Triage: Ability to review logs, alerts, system activity, and pipeline outputs, document findings clearly, and escalate potential risks.
• Automation Exposure: Basic experience with scripting languages such as Python or Bash to automate repetitive operational or security-related tasks.
• Version Control: Familiarity with Git workflows, Bitbucket pipelines, pull requests, branching strategies, and change tracking.
• AI-Assisted Engineering: Awareness of how AI coding assistants and automation tools can be used responsibly, including protecting sensitive information, validating tool outputs, documenting AI-assisted changes, and following approved safe-use practices.

Preferred Qualifications

• Experience: 0–2 years of experience in IT support, systems administration, cloud operations, cybersecurity, software engineering, web operations, or a junior DevOps role.
• Certifications: Relevant entry-level certifications, such as AWS Cloud Practitioner, CompTIA Security+, or equivalent, are helpful but not required.

Education