DevOps Engineer

Precision Technologies; United States; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Precision Technologies staff are seeking a highly skilled Cloud/SRE engineer to design, implement, and automate scalable cloud infrastructure across AWS, Azure, and GCP. You will build robust CI/CD pipelines, implement IaC via Terraform or CloudFormation, and manage Kubernetes deployments with Helm, EKS, AKS, GKE, and OpenShift.

You will also implement observability, security automation, and DevSecOps practices, collaborating with multiple teams to improve reliability and performance across

Qualifications

• Experience designing, implementing, and maintaining scalable cloud infrastructure across AWS/Azure/GCP.
• Strong background in CI/CD pipeline automation using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, AWS CodePipeline.
• Proficient in Infrastructure as Code with Terraform, CloudFormation, ARM/Bicep templates.
• Hands-on with containerization, Kubernetes, Helm, and cloud-based orchestration.

Responsibilities

• Design, implement, automate, and maintain highly available, scalable, and secure cloud infrastructure across AWS, Azure, and/or GCP environments.
• Build, manage, and optimize CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, AWS CodePipeline, or equivalent tools.
• Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, Azure ARM Templates, Bicep, or equivalent technologies.
• Containerize applications using Docker and manage container orchestration platforms including Kubernetes, Amazon EKS, Azure AKS, Google GKE, and OpenShift.
• Develop and manage Kubernetes resources, Helm charts, namespaces, deployments, services, ingress, config maps, secrets, autoscaling, and cluster configurations.
• Automate infrastructure provisioning, application deployments, operational processes, and environment management using Python, Bash, PowerShell, Ansible, or other scripting technologies.
• Implement monitoring, logging, alerting, and observability using Prometheus, Grafana, ELK/Elastic Stack, Splunk, CloudWatch, Azure Monitor, Application Insights, Datadog, or equivalent tools.
• Implement DevSecOps practices including vulnerability management, secrets management, access control, container security, dependency scanning, SAST/DAST, and security automation.
• Manage source control, branching strategies, release management, artifact repositories, and build systems using Git, GitHub, GitLab, Bitbucket, Maven, Gradle, Nexus, or Artifactory.
• Collaborate with Software Engineers, Architects, QA Engineers, Security Teams, Data Engineers, and Product Teams to automate software delivery and improve system reliability.
• Troubleshoot infrastructure, deployment, networking, application, and production issues; perform root cause analysis and implement permanent solutions to improve reliability and performance.

Skills

Cloud infrastructure

AWS

Azure

GCP

CI/CD

IaC

Terraform

CloudFormation

Kubernetes

Docker

DevSecOps

Scripting

Tools

Terraform

CloudFormation

Azure ARM Templates

Bicep

Kubernetes

Docker

Jenkins

GitHub Actions

GitLab CI/CD

Azure DevOps

AWS CodePipeline

Job description

Location: United States (Onsite / Hybrid / Remote - Based on Client Requirement)

Visa: Open to all work-authorized candidates except H1B

Key Responsibilities

• Design, implement, automate, and maintain highly available, scalable, and secure cloud infrastructure across AWS, Azure, and/or GCP environments.
• Build, manage, and optimize CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, AWS CodePipeline, or equivalent tools.
• Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, Azure ARM Templates, Bicep, or equivalent technologies.
• Containerize applications using Docker and manage container orchestration platforms including Kubernetes, Amazon EKS, Azure AKS, Google GKE, and OpenShift.
• Develop and manage Kubernetes resources, Helm charts, namespaces, deployments, services, ingress, config maps, secrets, autoscaling, and cluster configurations.
• Automate infrastructure provisioning, application deployments, operational processes, and environment management using Python, Bash, PowerShell, Ansible, or other scripting technologies.
• Implement monitoring, logging, alerting, and observability using Prometheus, Grafana, ELK/Elastic Stack, Splunk, CloudWatch, Azure Monitor, Application Insights, Datadog, or equivalent tools.
• Implement DevSecOps practices including vulnerability management, secrets management, access control, container security, dependency scanning, SAST/DAST, and security automation.
• Manage source control, branching strategies, release management, artifact repositories, and build systems using Git, GitHub, GitLab, Bitbucket, Maven, Gradle, Nexus, or Artifactory.
• Collaborate with Software Engineers, Architects, QA Engineers, Security Teams, Data Engineers, and Product Teams to automate software delivery and improve system reliability.
• Troubleshoot infrastructure, deployment, networking, application, and production issues; perform root cause analysis and implement permanent solutions to improve reliability and performance.

Contact

Mahesh Kyadari, Lead - Talent Management Team