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# DevOps Engineer

- **Company:** CAREERSCAPE LLC
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $120,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Bash Shell, Software as a Service, Cloud Computing, Computer Programming, Continuous Delivery, Continuous Integration, DevOps, Github, Monitoring of Systems, Python (Programming Language), Key Management, Prometheus, Runbook, Software Engineering, Datadog, Data Logging, Scripting, System Availability, Grafana, Reliability of Systems, Cloudformation, Containerization, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Terraform, Docker, Jenkins
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/devops-engineer-austin-tx--05ecf9dc-39f0-42b0-94e3-334cd6137055

## About the Role

DevOps, DevOps, Automation, Software Engineering, Systems Reliability, Cloud Computing, Software as a Service (SaaS), Continuous Integration, Continuous Deployment/Delivery, Amazon Web Services (AWS), * 4+ years of experience in a DevOps, SRE, or infrastructure engineering role

 * Hands-on experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions
 * Strong experience with public cloud platforms, particularly AWS and GCP
 * Production experience with Docker and Kubernetes for container orchestration
 * Proficiency with infrastructure as code tools such as Terraform or CloudFormation
 * Scripting or programming ability in Python, Bash, or Go for automation
 * Experience with monitoring and observability tools such as Prometheus, Grafana, or Datadog
 * Solid understanding of networking, security, and cloud cost optimization principles
 * Strong troubleshooting skills and the ability to lead incident response under pressure

## Description

* Design, build, and maintain CI/CD pipelines that support frequent, reliable software releases
 * Manage and scale cloud infrastructure across AWS and GCP using infrastructure as code
 * Operate and optimize Kubernetes clusters and containerized workloads in production
 * Implement monitoring, logging, and alerting to improve system observability and reliability
 * Participate in on-call rotations and lead incident response and root cause analysis
 * Automate manual operational tasks to reduce toil and improve deployment velocity
 * Collaborate with software engineers to improve application deployability and performance
 * Enforce infrastructure security best practices, including access controls and secrets management
 * Evaluate and adopt new tools and practices to improve platform reliability and scalability
 * Document infrastructure, runbooks, and operational procedures for the engineering team