DevOps and Cloud Engineer

IntraEdge, Inc.
Phoenix, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Phoenix, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Cloud Computing Security
Cloud Engineering
Continuous Integration
DevOps
Disaster Recovery
Github
Groovy
Identity and Access Management
Python
Network Security
Prometheus
Scripting (Bash/Python/Go/Ruby)
System Availability
Large Language Models
Grafana
Reliability of Systems
Containerization
Gitlab-ci
Kubernetes
Information Technology
Performance Monitor
Cloudwatch
Terraform
Devsecops
Docker
Jenkins

Job description

We are seeking a highly skilled Senior DevOps and Cloud Engineer to design, implement, and manage scalable cloud infrastructure and automated CI/CD pipelines across multi-cloud environments. The ideal candidate will have deep expertise in cloud-native architecture, container orchestration, infrastructure automation, and DevOps best practices.

This role will focus on building and maintaining secure, scalable, and highly available platforms across AWS and GCP, enabling faster software delivery, reliable infrastructure provisioning, and efficient operations.

The candidate will also contribute to AI/ML platform engineering, supporting deployment of GenAI and LLM workloads, while ensuring strong observability, security, and operational excellence, Design and implement scalable, secure, and resilient cloud infrastructure across AWS and GCP environments. Build and manage cloud-native platforms using Infrastructure-as-Code (IaC) tools such as Terraform. Architect and maintain multi-tier applications and infrastructure provisioning across cloud environments. Implement best practices for high availability, scalability, and disaster recovery., Design and maintain automated CI/CD pipelines using tools such as Jenkins, GitHub Actions, and GitLab CI/CD. Develop and maintain Jenkins pipelines and shared libraries to standardize deployment workflows. Implement GitOps practices using tools like ArgoCD to enable automated application deployments. Automate build, testing, and deployment processes to improve delivery speed and reliability.

Containerization & Kubernetes

Build and manage containerized environments using Docker and Kubernetes. Deploy and manage Kubernetes clusters (including GKE) to support cloud-native applications. Optimize container orchestration, scaling, and resource management for production workloads., Deploy LLM inference workloads on Kubernetes (GKE) and ensure scalable infrastructure support., Implement monitoring and alerting solutions using Prometheus, Grafana, and AWS CloudWatch. Ensure system reliability through logging, performance monitoring, and incident response processes. Continuously improve platform observability and operational insights.

Security & Compliance

Implement cloud security best practices including IAM, network security, and access controls. Ensure infrastructure and CI/CD pipelines follow secure DevOps (DevSecOps) practices. Maintain compliance with enterprise security policies and governance standards., The candidate will also contribute to AI/ML platform engineering, supporting deployment of GenAI and LLM workloads, while ensuring strong observability, security, and operational excellence

Requirements

Bachelor's or Master's degree in Computer Science, Information Technology, or related field. 7+ years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles. Strong hands-on experience with AWS and GCP cloud platforms. Proven experience implementing Infrastructure-as-Code using Terraform. Experience with containerization and orchestration using Docker and Kubernetes. Strong expertise in CI/CD pipeline design and automation. Proficiency in scripting languages such as Python, Shell, or Groovy. Job Requirements

We are seeking a highly skilled Senior DevOps and Cloud Engineer to design, implement, and manage scalable cloud infrastructure and automated CI/CD pipelines across multi-cloud environments. The ideal candidate will have deep expertise in cloud-native architecture, container orchestration, infrastructure automation, and DevOps best practices., Bachelor's or Master's degree in Computer Science, Information Technology, or related field. 7+ years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles. Strong hands-on experience with AWS and GCP cloud platforms. Proven experience implementing Infrastructure-as-Code using Terraform. Experience with containerization and orchestration using Docker and Kubernetes. Strong expertise in CI/CD pipeline design and automation. Proficiency in scripting languages such as Python, Shell, or Groovy.

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