DevOps Technical Engineer

Airgas•Radnor, PA

About The Position

The DevOps Technical Engineer serves as an infrastructure and operations subject matter expert, aligning projects with scalable Cloud/DevOps solutions, identifying infrastructure and security risks, implementing CI/CD and automation prototypes, and representing and mentoring development and operations teams. The position supports product teams with solution architectures, environment setups, and deployment estimates. It co-owns internal starter kits, infrastructure-as-code templates, and accelerators and tools that encourage reuse, automated deployment, and industry best practices. The role works with product, development, security, and architecture teams on infrastructure design, environment provisioning, and cloud deployment opportunities. It provides guidance on DevOps practices, CI/CD automation, containerization, and site reliability; leads discovery sessions; designs secure, compliant, highly available cloud and on-premises deployment patterns; and documents architecture decisions, topology maps, and operational runbooks. Hands-on work includes prototyping tools such as API gateways and ingress controllers; managing Kubernetes clusters on AWS EKS and self-managed or on-premises EC2; maintaining GitLab and SonarQube instances; developing Shell and YAML scripts, Helm charts, and deployment pipelines; and operating monitoring, logging, and observability tools such as Kibana. The engineer also promotes containerization, GitOps, and cloud-native practices. The posting additionally calls for hands-on work with AWS Secrets Manager, S3, ECR, Cognito, and Certificate Manager, and understanding pipeline stages, image generation, and Docker image deployment. Salesforce, GraphQL, and React experience are described as value-adds.

Requirements

Bachelor’s degree in Computer Science, Management Information Systems, Information Technology, or a relevant engineering discipline, or equivalent experience.
At least 3 years of hands-on industry experience in DevOps engineering, cloud infrastructure delivery (AWS/Kubernetes), and CI/CD automation.
Deep expertise in Kubernetes, including pod deployment and management, ingress controllers, and HPA/scaling policies, and in Docker containerization.
Hands-on experience with AWS services, AWS CLI, EC2 instance management, and cluster management with AWS EKS.
Proficiency with kubectl, Helm, YAML scripting, Shell scripting, and NPM package workflows.
Strong working knowledge of GitLab CI/CD pipelines, Git workflows, and SonarQube integration for automated code-quality gates.
Functional programming and automation capabilities using Python and Shell scripting within Visual Studio Code (VS Code).
Hands-on experience with Jira, Confluence, Kibana for centralized logging and dashboards, and Remote Desktop (RDP) administration.
Conceptual and hands-on understanding of API Gateway processes and management strategies.
Hands-on experience building and managing AWS Secrets Manager, S3, ECR, Cognito, and Certificate Manager.
Understanding of pipeline stages, image generation, and deploying Docker images to their destinations.

Nice To Haves

Hands-on experience with Salesforce, GraphQL, or the React framework.

Responsibilities

Work with product, development, security, and architecture teams on infrastructure designs, environment provisioning, and cloud deployment opportunities.
Advise on DevOps engineering best practices, CI/CD pipeline automation, containerization, and site reliability.
Lead discovery sessions to identify infrastructure, security, and operational requirements.
Design and refine secure, compliant, highly available cloud and on-premises deployment patterns.
Document infrastructure architecture decisions, topology maps, and operational runbooks for technical and non-technical audiences.
Build proofs of concept for tools such as API gateways and ingress controllers.
Manage, scale, and maintain Kubernetes clusters, including pod deployment, scaling policies, and cluster health monitoring.
Oversee and optimize GitLab and SonarQube instances across AWS EC2 and on-premises environments.
Develop and maintain Shell and YAML scripts, Helm charts, and automated deployment pipelines.
Set up and maintain monitoring, logging, and observability solutions using Kibana and related tools.
Promote organizational understanding, adoption, and education around containerization, GitOps, and cloud-native practices.
Support product teams with solution architectures, environment setups, and deployment estimates.
Co-own internal starter kits, infrastructure-as-code templates, and accelerators and tools that promote reuse and automated deployment.
Build and manage AWS services including Secrets Manager, S3, ECR, Cognito, and Certificate Manager.
Understand pipeline stages, image generation, and deployment of Docker images to their destinations.