Senior DevOps Engineer: AI-Driven Cloud & Kubernetes Remote

DivIHN Integration Inc; City of Corning (NY); Remote; USD 140,000 - 190,000; Full time

Job summary

DivIHN Integration Inc. is seeking a Senior DevOps Engineer to join remotely on a contract basis. The role focuses on AWS/Kubernetes, Terraform, and CI/CD, with emphasis on automation, observability, security, and scalable operations.

The ideal candidate will have extensive experience in cloud-native platforms, AI-assisted engineering workflows, and strong problem-solving skills to drive reliability and efficiency across production systems.

Qualifications

• 7+ years of hands-on DevOps/Cloud Infra experience.
• Strong AWS experience: EC2, S3, EKS, ECR, Route53, IAM.
• Proficient in Kubernetes operations, Helm, and GitOps.
• Experience with IaC and CI/CD pipelines.

Responsibilities

• Design, implement, and operate cloud infrastructure using AWS and Terraform.
• Own EKS and Kubernetes platform operations including upgrades and autoscaling.
• Develop deployment workflows with Helm, Kustomize, GitLab CI/CD, and GitOps.
• Deploy and evolve observability capabilities across infrastructure and Kubernetes environments.
• Strengthen security across infrastructure, pipelines, and Kubernetes environments.

Skills

AWS Cloud Engineering

Kubernetes Administration

Terraform / IaC

CI/CD (GitLab)

GitOps

Observability

Security best practices

Docker

Python/Bash scripting

AI-assisted Engineering

Education

Bachelor's Degree in Computer Science or related field

Tools

Helm

Kustomize

GitLab CI/CD

Argo CD

Flux

Prometheus

Grafana

Terraform

Docker

Job description

DivIHN Integration Inc. is seeking a Senior DevOps Engineer to join remotely on a contract basis. The role focuses on AWS/Kubernetes, Terraform, and CI/CD, with emphasis on automation, observability, security, and scalable operations.

The ideal candidate will have extensive experience in cloud-native platforms, AI-assisted engineering workflows, and strong problem-solving skills to drive reliability and efficiency across production systems.