Published Date
5 days ago
Work Arrangement
Hybrid • Dallas, TX or Remote, USA
Open Positions
2 openings
Experience Level
Entry-Level to Mid-Level
About the opportunity
Launch your career in cloud infrastructure, DevOps automation, and AI-powered operations. Join a collaborative engineering team to build reliable deployment pipelines, manage cloud environments, and implement intelligent monitoring solutions while developing industry-ready technical skills.
What you will do
- check_circle Assist in building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, or AWS CodePipeline to automate application builds, testing, and deployments.
- check_circle Support cloud infrastructure provisioning and configuration using AWS services, Terraform, and infrastructure-as-code best practices.
- check_circle Deploy and manage containerized applications using Docker and Kubernetes, including AWS Elastic Kubernetes Service (EKS) where applicable.
- check_circle Monitor application performance, cloud resources, and system availability using tools such as Amazon CloudWatch, Prometheus, and Grafana.
- check_circle Develop Python or Bash scripts to automate repetitive operational tasks, deployment workflows, and infrastructure maintenance.
- check_circle Explore AI-assisted monitoring, log analysis, anomaly detection, and operational troubleshooting to improve system reliability and efficiency.
- check_circle Collaborate with development, security, and operations teams to troubleshoot incidents, document solutions, and apply cloud security and cost-optimization practices.
What we are looking for
- arrow_circle_right Foundational knowledge of DevOps principles, software development lifecycles, and CI/CD pipelines, demonstrated through coursework, projects, internships, or professional experience.
- arrow_circle_right Working knowledge of Linux, Git, Docker, and basic networking concepts, including DNS, HTTP/HTTPS, and TCP/IP.
- arrow_circle_right Basic understanding of at least one cloud platform, preferably AWS, with familiarity with services such as EC2, S3, IAM, and CloudWatch.
- arrow_circle_right Exposure to Kubernetes, Terraform, Jenkins, GitHub Actions, or comparable automation and infrastructure management tools.
- arrow_circle_right Basic scripting ability in Python or Bash, along with a willingness to learn AI-assisted automation, monitoring, and troubleshooting techniques.
- arrow_circle_right Strong problem-solving, communication, documentation, and teamwork skills; a relevant degree, certification, bootcamp, or practical project portfolio is beneficial.
Skills & Tech Stack
Why candidate applications stand out
Verified Technical Credentials
Applications include direct proof-of-work repositories and instructor verification endorsements.
Fast-Track Hiring Visibility
Direct internal referral channels through enterprise partners bypass automated resume discard filters.