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# Cloud Engineer

- **Company:** Everforth Apex
- **Location:** Richmond, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Audit Trail, Automation of Tests, Bash Shell, Cloud Engineering, Databases, Continuous Integration, Relational Databases, DevOps, Amazon DynamoDB, Fault Tolerance, Github, Python (Programming Language), MariaDB, Microsoft SQL Server, MongoDB, MySQL, NoSQL, Oracle (Applications), Windows PowerShell, Systems Development Life Cycle, Redis, Prometheus, Ruby, Software Engineering, Datadog, Data Logging, Cloud Platform System, Autoscaling, Grafana, Infrastructure as Code (IaC), Gitlab, Git, Containerization, Gitlab-ci, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Cassandra, Rancher, Sumo Logic (Software), Cloudwatch, Terraform, Prisma Cloud Platform, Splunk, New Relic (SaaS), Dynatrace, Serverless Computing, Docker, Static Application Security Testing, Golang, Microservices, Dynamic Application Security Testing
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/cc4ac007-0884-44a6-8e02-47adda23dfa3

## About the Role

* Degree in Computer Science or a related technical field involving software development, or equivalent experience.
 * 5 years of software development life cycle (SDLC) experience including design, development, troubleshooting, testing, and automation in AWS, Terraform, Python, and Gitlab CI
 * Experience with DevOps platforms (e.g., GitLab, GitHub, etc.)
 * Expertise with Git and common branching/release strategies (e.g., branching, merging, GitFlow, etc.)
 * Experience with logging, monitoring, alerting, and observability tools (e.g., CloudWatch, CloudTrail, Prometheus, Grafana, ELK, Splunk, SumoLogic, Datadog, New Relic, Dynatrace, etc.)
 * Familiarity with Agile and DevOps practices including infrastructure as code, continuous integration, automated deployment, automated testing, autoscaling, and self-healing
 * Knowledge of serverless and microservice architectures with hands-on implementation experience
 * Working knowledge of databases, including one RDBMS (e.g., MySQL/MariaDB, MS SQL, Oracle, etc.) and one columnar or NoSQL store (e.g., MongoDB, Redis, Cassandra, DynamoDB, etc.)
 * Experience with any of the following languages JavaScript, Python, Go, Ruby, PowerShell, and Bash

Preferred Experience

 * Leading design or modernization efforts for applications using modern approaches (e.g., APIs, microservices, etc.)
 * Containerization technology (e.g., Docker, Podman, etc.) and container orchestration tools (e.g., Kubernetes, Rancher, etc.)
 * Application security testing methodologies (e.g., SAST, DAST, etc.)
 * Infrastructure security tooling (e.g., Prisma Cloud, Aqua, etc.)
 * Working knowledge of multi-account AWS environments and AWS Organizations
 * Experience with cost optimization strategies in cloud environments
 * Working knowledge of fundamental networking concepts

## Description

Hands-on Cloud DevOps Engineer with AWS expertise focused on delivering operationally sustainable workloads via Infrastructure as Code (IaC) and automated build & deployment pipelines (CI/CD). Support the design, provisioning, and management of enterprise-grade development enablement solutions including build orchestration, tooling, and operations utilities within an AWS Cloud environment, * Design and develop centralized orchestration services-leveraging Infrastructure as Code (IaC) and GitLab Pipelines-to deploy and manage both in-house and commercial off-the-shelf (COTS) products within a DevOps platform, with a strong emphasis on infrastructure deployment, reusability, and resiliency. Design resilient, fault-tolerant systems for managing cloud infrastructure.

 + Incorporate compliance and security following the shift-left paradigm.
 + Develop automation tools and services for deployment and operations activities.
 + Integrate testing and quality principles into the development SDLC process.
 + Optimize operations by automating alerting, monitoring and incident response.