Innovate With Us

Cloud & DevOps Engineer

About Us

ÆONIS SYSTEMS is looking for a Cloud & DevOps Engineer to design, automate, and manage cloud infrastructure for AI-driven healthcare and education applications. This role involves building scalable CI/CD pipelines, optimizing cloud-based deployments, and ensuring system security and reliability. The ideal candidate has strong experience in cloud platforms, infrastructure automation, and DevOps best practices.

Important Note: Until funding is secured, we ask for a commitment of 10-15 hours per month to ensure steady progress while respecting your time and contributions. This role is open to global applicants and can be remote.

Key Responsibilities

  • Cloud Infrastructure Management: Deploy and manage cloud-based AI applications on AWS, GCP, or Azure.

  • CI/CD Pipeline Development: Implement continuous integration and continuous deployment (CI/CD) workflows for AI models and applications.

  • Infrastructure as Code (IaC): Automate deployments using Terraform, Ansible, or CloudFormation.

  • Security & Compliance: Ensure cloud environments meet HIPAA, GDPR, and data protection regulations for healthcare applications.

  • System Monitoring & Optimization: Set up logging, alerting, and performance monitoring using Prometheus, Grafana, or CloudWatch.

  • Scalability & Reliability: Design high-availability, fault-tolerant architectures for AI systems.

  • Collaboration: Work closely with AI engineers, backend developers, and security teams to optimize cloud performance.

Qualifications

  • Experience: Minimum 3+ years in cloud computing, DevOps, or infrastructure engineering.

  • Technical Background: Bachelor's in Computer Science, Cloud Engineering, or related fields preferred.

  • Cloud Expertise: Strong experience with AWS (EC2, S3, Lambda), GCP (Compute Engine, Cloud Functions), or Azure.

  • Automation Skills: Proficiency in Terraform, Ansible, CloudFormation, or Kubernetes.

  • DevOps Tools: Hands-on experience with Docker, Kubernetes, Jenkins, GitLab CI/CD, and Helm.

  • Networking & Security: Knowledge of VPCs, firewalls, IAM policies, and encryption best practices.

Work Model & Expectations

  • Commitment: 10-15 hours per month.

  • Work Type: Remote

  • Location: Open to global applicants.

  • Compensation: Currently voluntary; early contributors will be prioritized for paid roles once funding is secured

Let’s work together.

If you're passionate about cloud computing, infrastructure automation, and AI scalability, apply today and help shape the future of AI-driven healthcare and education!