This is a remote position.
We are seeking a skilled DevOps Engineer to design implement and maintain scalable cloud infrastructure and deployment pipelines across AWS Azure or GCP environments. This role focuses on automation reliability performance optimization and secure cloud operations.
You will work closely with engineering teams to streamline CI/CD processes improve system resilience and support cloud-native application deployments. The ideal candidate is hands-on comfortable operating production systems and experienced in building automation-first infrastructure.
This is a fully remote opportunity within fast-moving enterprise or SaaS environments.
Key Responsibilities:
- Design deploy and manage cloud infrastructure in AWS Azure or GCP
- Build and maintain CI/CD pipelines to support application releases
- Manage containerized workloads using Docker and Kubernetes
- Implement infrastructure as code using Terraform or similar tools
- Monitor troubleshoot and optimize production systems
- Improve deployment velocity while maintaining system stability
- Implement security best practices and DevSecOps controls
- Support high-availability and disaster recovery initiatives
Requirements
- 5 years of experience in DevOps Cloud Engineering or Site Reliability
- Strong hands-on experience with AWS Azure or GCP
- Experience building CI/CD pipelines (GitHub Actions GitLab CI Jenkins etc.)
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Infrastructure as Code experience (Terraform preferred)
- Linux systems administration experience
- Scripting ability (Bash Python or PowerShell)
- Experience with monitoring and observability tools (CloudWatch Azure Monitor Prometheus Grafana Datadog)
Preferred Qualifications:
- Experience with microservices architecture
- Experience in high-availability production environments
- Experience with security automation and IAM controls
- Cloud certifications (AWS Azure or GCP)
Required Skills:
Experience with AWS Azure or GCP Strong knowledge of networking security and cloud services Experience with Terraform ARM or CloudFormation Familiarity with containers and orchestration tools Strong troubleshooting and optimization skills
This is a remote position.We are seeking a skilled DevOps Engineer to design implement and maintain scalable cloud infrastructure and deployment pipelines across AWS Azure or GCP environments. This role focuses on automation reliability performance optimization and secure cloud operations.You wil...
This is a remote position.
We are seeking a skilled DevOps Engineer to design implement and maintain scalable cloud infrastructure and deployment pipelines across AWS Azure or GCP environments. This role focuses on automation reliability performance optimization and secure cloud operations.
You will work closely with engineering teams to streamline CI/CD processes improve system resilience and support cloud-native application deployments. The ideal candidate is hands-on comfortable operating production systems and experienced in building automation-first infrastructure.
This is a fully remote opportunity within fast-moving enterprise or SaaS environments.
Key Responsibilities:
- Design deploy and manage cloud infrastructure in AWS Azure or GCP
- Build and maintain CI/CD pipelines to support application releases
- Manage containerized workloads using Docker and Kubernetes
- Implement infrastructure as code using Terraform or similar tools
- Monitor troubleshoot and optimize production systems
- Improve deployment velocity while maintaining system stability
- Implement security best practices and DevSecOps controls
- Support high-availability and disaster recovery initiatives
Requirements
- 5 years of experience in DevOps Cloud Engineering or Site Reliability
- Strong hands-on experience with AWS Azure or GCP
- Experience building CI/CD pipelines (GitHub Actions GitLab CI Jenkins etc.)
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Infrastructure as Code experience (Terraform preferred)
- Linux systems administration experience
- Scripting ability (Bash Python or PowerShell)
- Experience with monitoring and observability tools (CloudWatch Azure Monitor Prometheus Grafana Datadog)
Preferred Qualifications:
- Experience with microservices architecture
- Experience in high-availability production environments
- Experience with security automation and IAM controls
- Cloud certifications (AWS Azure or GCP)
Required Skills:
Experience with AWS Azure or GCP Strong knowledge of networking security and cloud services Experience with Terraform ARM or CloudFormation Familiarity with containers and orchestration tools Strong troubleshooting and optimization skills
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