DevOps Engineer – Cloud Infrastructure & AI Platform

About the role

Doctronic is seeking a DevOps Engineer to own and evolve its cloud infrastructure that powers AI‑driven medical consultations. You will ensure the platform remains HIPAA‑compliant, SOC 2 Type II certified, and highly reliable as the company scales to millions of users.

Key responsibilities

• Design, deploy, and maintain AWS infrastructure using services such as ECS, EC2, IAM, VPC, ALB/NLB, CloudWatch, ECR, S3, RDS, and Glue.
• Operate and scale production Kubernetes clusters with Helm‑based deployments and implement GitOps workflows using Argo CD.
• Provision cloud resources with Terraform and build CI/CD pipelines with GitHub Actions, GitLab CI, or similar tools.
• Develop and optimize infrastructure for AI/ML workloads and large language models, focusing on performance, reliability, and cost.
• Design and manage networking, VPNs, load balancers, DNS, and secure connectivity, integrating SIEM solutions for visibility.
• Create monitoring, logging, and alerting solutions using Prometheus, Grafana, and CloudWatch, and drive incident response and performance tuning.
• Automate operational tasks with Bash and Python, and administer Linux‑based production environments.

Required profile

• 5+ years of experience as a DevOps Engineer or Site Reliability Engineer.
• Strong hands‑on experience with AWS, Kubernetes, Terraform, Docker, Helm, and Argo CD.
• Proven ability to design and operate highly available, cloud‑native production systems.
• Solid understanding of Linux administration, networking, cloud security, and IaC principles.

Required skills

• AWS (ECS, EC2, IAM, VPC, ALB/NLB, CloudWatch, ECR, S3, RDS, Glue)
• Kubernetes and Helm
• Argo CD (GitOps)
• Terraform
• Docker
• CI/CD tools (GitHub Actions, GitLab CI)
• Bash and Python scripting
• Prometheus, Grafana, CloudWatch for observability
• Linux system administration
• Networking and cloud security concepts