DevOps Engineer

Jobtailor

Lawrenceville (GA)

On-site

USD 120,000 - 160,000

Full time

8 days ago

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Job summary

Jobtailor is seeking a DevOps & Cloud Infrastructure Engineer to design and run scalable AWS and Kubernetes environments in a production setting. You will automate infrastructure with Pulumi, Terraform, or CloudFormation, and drive CI/CD improvements while enabling shift-left practices across teams.

You will mentor teammates, resolve complex incidents, and collaborate with development and data teams to boost reliability, security, and cost efficiency.

Qualifications

Minimum 3 years' experience in DevOps 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, CloudFormation, or Ansible.
Experience with Docker and Kubernetes.
Experience building or maintaining CI/CD pipelines.
Ability to automate using Python, PowerShell, 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.

Responsibilities

Build and operate highly available AWS and Kubernetes infrastructure.
Develop and maintain Infrastructure as Code and automation.
Improve CI/CD and GitOps workflows.
Automate operational tasks with Python, PowerShell, 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 DevOps 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.

Skills

Strong communication

Problem solving

Ownership

Collaboration

Mentoring

Independent work

Tools

AWS

Kubernetes

Docker

Pulumi

Terraform

CloudFormation

Ansible

GitOps

Claude Code

AI Agents

Python

PowerShell

Bash

Linux

Windows

Job description

Build and operate highly available AWS and Kubernetes infrastructure
Develop and maintain Infrastructure as Code and automation
Improve CI/CD and GitOps workflows
Automate operational tasks with Python, PowerShell, 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 DevOps 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

Requirements

Minimum 3 years' experience in DevOps 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, CloudFormation, or Ansible
Experience with Docker and Kubernetes
Experience building or maintaining CI/CD pipelines
Ability to automate using Python, PowerShell, 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

Core Competencies

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.

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