DevOps Engineer - W2 contract - Hybrid at CA / TX / IL
CARITATECH LLC
San Francisco, CA, United States
6 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
User Authentication
Bash Shell
Cloud Computing
Cloud Computing Security
Cloud Database
Cloud Engineering
Continuous Integration
DevOps
Monitoring of Systems
Identity and Access Management
Python (Programming Language)
+24 more
OpenID
Cloud Services
Aws Command Line Interface (CLI)
Prometheus
Zero Trust Network Access
Software Deployment
Tripwire
Datadog
Cloud Platform System
Cloud Monitoring
System Availability
Delivery Pipeline
Software Security
Amazon Virtual Private Cloud (VPC)
Gitlab
Cloudformation
Containerization
Gitlab-ci
Kubernetes
Infrastructure Automation Frameworks
Terraform
Docker
Static Application Security Testing
Vulnerability Analysis
Job description
We are seeking an experienced DevOps / Cloud Engineer to support cloud infrastructure automation, CI/CD pipelines, containerized applications, cloud security, monitoring, and platform reliability. The ideal candidate will have strong hands-on experience with AWS, Terraform, Kubernetes, GitLab CI/CD, infrastructure as code, security scanning, and cloud monitoring., * Automate cloud infrastructure provisioning and deployments using Terraform, AWS CloudFormation, and AWS CLI.
- Develop and maintain CI/CD pipelines using GitLab CI/CD and GitLab runners.
- Deploy and manage containerized applications using Docker, Kubernetes, and Amazon ECR.
- Implement cloud security best practices, including IAM, role-based access, OIDC authentication, Zero Trust, and least-privilege access.
- Integrate security scanning tools such as GitLab SAST, Secret Detection, and Trivy into CI/CD pipelines.
- Manage AWS services, troubleshoot infrastructure issues, perform root cause analysis, and improve platform reliability.
- Implement monitoring, dashboards, and alerting using Datadog and Prometheus.
- Develop Python and Bash scripts to automate operational tasks and reduce manual effort.
- Support AWS networking, including VPC, IAM, and secure application connectivity.
- Manage cloud-based data science platforms and workloads running on Kubernetes and AWS.
- Implement container image vulnerability scanning and enforce security checks before production deployments.
- Support workload execution and compute infrastructure using AWS Batch and AWS-hosted HPC clusters.
- Optimize cloud resource utilization, performance, security, and operational costs.
- Collaborate with development, data science, and security teams to improve cloud platform operations and deployment processes.
Requirements
- Strong experience with AWS Cloud Services
- Infrastructure as Code: Terraform and AWS CloudFormation
- CI/CD: GitLab CI/CD and GitLab Runners
- Containerization: Docker and Kubernetes
- Scripting: Python and Bash
- Cloud Security: AWS IAM, OIDC, Zero Trust, and least-privilege access
- Security Tools: GitLab SAST, Secret Detection, Amazon ECR scanning, and Trivy
- Monitoring and Observability: Datadog and Prometheus
- AWS networking, troubleshooting, incident management, and root cause analysis
- Experience with cloud automation, deployment pipelines, and production support
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Prepare application
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- Open in Claude
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