> Markdown version of [/jobs/ext/3253231-aws-devops-engineer](https://www.wearedevelopers.com/jobs/ext/3253231-aws-devops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS DevOps Engineer - **Company:** Lorien - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $125,000.0 - $140,000.0 - **Contract:** Temporary to permanent - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Bash Shell, Cloud Computing, Continuous Integration, DevOps, Github, Python (Programming Language), Windows PowerShell, Ansible, Prometheus, Software Deployment, Workflow Management Systems, Circleci, Data Logging, Scripting, Google Cloud, Grafana, Infrastructure as Code (IaC), Cloudformation, Amazon Relational Database Service, Containerization, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Functional Programming, Teamcity, Terraform, Splunk, Dynatrace, Docker, Elk Stack, Jenkins - **Published:** September 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d0d24d0857c868ce ## About the Role * 8+ years of experience in DevOps or related roles * Proven track record of successfully implementing DevOps practices in complex environments * Experience with scalable, secure, and reliable application deployments * Cloud Platforms: Proficiency in working with cloud platforms such as AWS, Azure, or Google Cloud, with hands-on experience in services like ECS and its required services for microservice deployments, Api-gateway, Active-MQ, EC2, S3, RDS, Lambda, and CloudFormation * CI/CD Tools: Extensive experience with CI/CD tools such as Jenkins, GitLab CI, CircleCI, TeamCity, Harness, and GitHub Actions * Infrastructure as Code (IaC): Hands-on experience with IaC tools like Terraform, Ansible, or AWS CloudFormation * Containerization: Strong knowledge of containerization technologies like Docker and orchestration tools like Kubernetes * Scripting and Automation: Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks * Monitoring and Logging: Experience with monitoring and logging tools such as DynaTrace, Prometheus, Grafana, ELK Stack, or Splunk