DevOps Engineer
Job in
Lawrenceville, Gwinnett County, Georgia, 30243, USA
Listed on 2026-09-14
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-14
Job specializations:
-
IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, AWS
Job Description & How to Apply Below
- Build and operate highly available AWS and Kubernetes infrastructure
- Develop and maintain Infrastructure as Code and automation
- Improve CI/CD and Git Ops workflows
- Automate operational tasks with Python, Power Shell, Bash, or similar tools
- Troubleshoot production issues across applications, containers, networking, and cloud infrastructure
- Improve observability, reliability, security, performance, and cost efficiency
- Partner with development and data teams to promote Dev Ops and shift-left practices
- Participate in incident response and help eliminate root causes
- Document solutions, share knowledge, and mentor teammates
- Support customer-impacting issues when needed
- Minimum 3 years' experience in Dev Ops and Cloud Infrastructure Operations
- Experience building or supporting production cloud infrastructure
- Strong AWS knowledge or experience with another major cloud provider
- Experience with Infrastructure as Code such as Pulumi, Terraform, Cloud Formation, or Ansible
- Experience with Docker and Kubernetes
- Experience building or maintaining CI/CD pipelines
- Ability to automate using Python, Power Shell, Bash, or another programming language
- Experience with Linux and/or Windows environments
- Strong troubleshooting and problem-solving skills
- Understanding of CI/CD, automation, and shift-left engineering practices
- Ability to work independently while collaborating effectively with others
- Strong communication, ownership, and technical judgment
- Comfort using Claude Code and similar AI agents for development, troubleshooting, automation, documentation, and research
- Ability to provide AI agents with context, constraints, and acceptance criteria
- Ability to build reusable skills, hooks, instructions, and workflows
- Ability to connect AI agents to tools, repositories, APIs, and documentation
- Ability to use automated validation and guardrails around agent-driven work
- Ability to critically review AI-generated code, infrastructure, and recommendations
- Understanding of security implications of agent access and permissions
- Ability to recognize when AI is appropriate and when it is not
Demonstrates expertise in building and operating AWS and Kubernetes infrastructure, with a strong focus on Infrastructure as Code, CI/CD, and automation practices. Proficient in troubleshooting and improving cloud infrastructure reliability, security, and performance while collaborating effectively with development and data teams.
Highest-signal resume keywords- AWS Infrastructure Management
- Infrastructure as Code (Pulumi, Terraform, Cloud Formation, Ansible)
- CI/CD Pipeline Development
- Automation with Python, Power Shell, Bash
- Kubernetes and Docker Experience
- AWS
- Kubernetes
- Docker
- Infrastructure as Code
- CI/CD
- Python
- Power Shell
- Bash
- Linux
- Windows
- Strong Communication
- Problem-Solving
- Ownership
- Collaboration
- Mentoring
- Dev Ops
- Cloud Infrastructure Operations
- Shift-Left Practices
- Observability
- Security Implications
- Claude Code
- AI Agents
- Git Ops
- Automation Tools
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