Why This Role Stands Out
This hybrid DevOps Engineer role at MOONITSolutions Inc. offers significant career growth by allowing you to own end-to-end pipeline implementation and automate infrastructure. You'll thrive here if you're a mid-senior engineer eager to build and manage CI/CD pipelines, and we encourage you to apply to join their reputable technology team.
Quick Overview
Job Description
Senior DevOps Engineer – AWS / Terraform
Location: Dallas, TX
Position Type: Full Time Role
Work Arrangement: Dallas Area – Local Candidates Preferred
Experience: 11+ Years DevOps / Cloud Engineering Experience
We are seeking an experienced Senior DevOps Engineer to take ownership of the end-to-end DevOps lifecycle, including CI/CD pipeline implementation, infrastructure automation, cloud deployments, and container orchestration.
The ideal candidate will have strong hands-on expertise with Terraform, AWS, Jenkins, Kubernetes, and Ansible and be comfortable working independently in a consulting-oriented environment. This role is focused on engineering, automation, and delivery rather than day-to-day application or production support.
Key Responsibilities
- Take ownership of end-to-end DevOps pipeline design, implementation, and delivery.
- Design, build, maintain, and optimize CI/CD pipelines using Jenkins and related DevOps tools.
- Develop and manage automated infrastructure provisioning using Terraform.
- Implement Infrastructure as Code (IaC) best practices across AWS environments.
- Design and support application deployment processes across AWS cloud environments.
- Develop automation for infrastructure configuration, application deployment, and operational processes.
- Work with Kubernetes to deploy, manage, and maintain containerized applications.
- Use Ansible for configuration management, provisioning, and automation.
- Collaborate with development, architecture, and client teams to improve deployment processes and engineering practices.
- Troubleshoot and resolve pipeline, infrastructure, deployment, and environment-related issues.
- Establish and maintain DevOps standards, best practices, and reusable automation frameworks.
- Identify opportunities to improve deployment speed, reliability, scalability, and operational efficiency.
- Work independently with minimal client guidance and take accountability for technical deliverables.
- Communicate effectively with clients and stakeholders in a consulting-oriented capacity.
- Provide technical recommendations and help clients implement scalable DevOps solutions.
Required Technical Skills
| Skill | Requirement |
|---|---|
| Terraform | Strong hands-on expertise – Critical |
| CI/CD | Strong experience designing and implementing pipelines |
| Jenkins | Hands-on pipeline development and administration |
| AWS | Strong cloud engineering and deployment experience |
| Kubernetes | Hands-on container orchestration experience |
| Ansible | Automation and configuration management |
| DevOps | End-to-end implementation and delivery experience |
| Infrastructure as Code | Strong understanding and practical experience |
Preferred Skills
- AWS services such as EC2, ECS/EKS, S3, IAM, VPC, CloudWatch, Lambda, etc.
- Docker and containerization
- Git/GitHub/GitLab/Bitbucket
- Jenkins Pipeline / Groovy
- Terraform modules and reusable infrastructure
- AWS security and IAM best practices
- Linux/Unix administration
- Python or Shell scripting
- Monitoring and logging tools
- Agile/Scrum development environments
Ideal Candidate
The ideal candidate is an engineer/consultant rather than a production support resource. Candidates should demonstrate:
- Strong ownership of DevOps implementations from design through deployment.
- Deep hands-on Terraform expertise.
- Proven experience building Jenkins CI/CD pipelines.
- Strong AWS cloud engineering background.
- Experience implementing Kubernetes-based deployments.
- Strong automation experience with Ansible.
- Ability to work independently and make technical decisions.
- Excellent client-facing and communication skills.
- Experience working in consulting environments with multiple stakeholders.
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