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# Cloud Operations Engineer

- **Company:** Everforth Apex
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, Bootstrap (Software), Cloud Computing, Databases, Continuous Integration, Domain Name System (DNS), Identity and Access Management, JSON, Python (Programming Language), Linux System Administration, Windows Servers, Reliability Engineering, Ansible, YAML, Datadog, Autoscaling, Claude Code, Grafana, Amazon Virtual Private Cloud (VPC), Agentic-AI, Amazon Relational Database Service, Infrastructure Automation Frameworks, Cloudwatch, Terraform, Software Version Control
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/a9507299-54c6-4475-964b-843df4b2ab2b

## About the Role

Education: Bachelor's degree preferred or equivalent professional experience.

Experience: Minimum of 5 years of related experience in cloud operations or site reliability engineering, ideally within a regulated or financial services environment.

Technical Skills: Deep knowledge of AWS in production (EC2, Auto Scaling groups, EKS, S3, RDS, VPC, IAM, multi-account Organizations) and strong diagnostic skills across VPC routing, security groups, network ACLs, DNS, and hybrid paths. Proficiency in infrastructure as code using Terraform, CI/CD pipelines, and source control workflows is required. Operating system expertise must include Linux administration (systemd, process management, disk, memory, networking stack). Automation proficiency requires Python, Bash, YAML, JSON, and working knowledge of applied AI through agentic coding tools like Kiro or Claude Code.

Preferred Qualifications

 * Experience operating in a regulated or financial services environment.
 * Knowledge of configuration management tools such as Chef or Ansible, golden images, and instance bootstrap patterns.
 * Windows Server administration skills.

## Description

* Maintain the alert inventory across CloudWatch, Grafana, and Datadog to ensure every alert ties to a runbook and a defined firing condition.
 * Lead incident troubleshooting and resolution across multiple cloud and hybrid environments.
 * Apply change authority in production by reviewing Terraform plans, reconciling drift, and validating service health post-deployment.
 * Codify manual changes made during incidents back into the owning repository within established SLAs.
 * Build pipeline gates, policy-as-code checks, and drift detection to automate routine changes.
 * Certify services as operable by independently executing runbooks and documenting missing or broken elements.
 * Drive problem records to verified closure to eliminate repeat failure classes, including database, connectivity, certificate expiry, and capacity issues.
 * Raise security findings with consuming teams proactively to prevent potential exposures.
 * Develop AI-based solutions for Cloud Operations using agentic coding tools such as Amazon Kiro.