DevOps Engineer
AppLab Systems, Inc · New York, United States · 4 days ago
On-siteEngineering$50–$52/hrContract
Location: USA (New York/New Jersey) · Visa: USC/GC · Work Mode: Onsite · Pay: $50–52/hr W2
About the role
We are seeking a skilled DevOps Engineer to manage and optimize AWS cloud infrastructure, build and maintain CI/CD pipelines, and automate infrastructure provisioning and application deployments. The ideal candidate will have strong Linux administration and networking knowledge, experience with container orchestration, and a solid understanding of DevSecOps, monitoring, and operational best practices.
Responsibilities
- Design, deploy, and maintain AWS cloud infrastructure and services.
- Manage Linux systems, cloud networking, and infrastructure operations.
- Build, maintain, and optimize CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.
- Manage containerized applications using Docker, Kubernetes/EKS, and Helm.
- Automate infrastructure provisioning and configuration using Terraform, Ansible, or equivalent tools.
- Implement monitoring, logging, and observability using Datadog, Splunk, CloudWatch, Prometheus, or similar platforms.
- Apply DevSecOps practices, including vulnerability scanning, secrets management, security patching, and code quality checks.
- Work with tools such as Snyk and SonarQube to strengthen application and infrastructure security.
- Troubleshoot production incidents, perform root cause analysis, and improve system reliability.
- Develop and maintain operational runbooks and technical documentation.
- Write scripts in Python, Bash, or Groovy to automate operational tasks.
- Collaborate with development, security, and infrastructure teams to improve deployment processes and operational efficiency.
Requirements
- Strong experience with AWS cloud services and infrastructure management.
- Solid knowledge of Linux administration and networking.
- Hands-on experience with CI/CD tools such as Jenkins and GitHub Actions.
- Experience with Docker, Kubernetes/EKS, and Helm.
- Expertise in Infrastructure as Code and automation using Terraform, Ansible, or similar tools.
- Knowledge of monitoring and observability platforms such as Datadog, Splunk, CloudWatch, or Prometheus.
- Understanding of DevSecOps practices, vulnerability scanning, secrets management, and patching.
- Strong scripting skills in Python, Bash, or Groovy.
- Proven ability to troubleshoot production issues and improve reliability.
- Excellent communication and collaboration skills.
Key competencies
- AWS Cloud and Infrastructure Management
- Linux Administration and Networking
- CI/CD Pipeline Automation
- Docker and Kubernetes/EKS
- Infrastructure as Code and Configuration Management
- Monitoring and Observability
- DevSecOps and Cloud Security
- Scripting and Operational Automation
- Production Troubleshooting and Reliability Engineering
- Cross-Functional Collaboration