Cloud Infrastructure DevOps Engineer

Insight Global
Newtown Square, United States of America
yesterday

Role details

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

Job location

Newtown Square, United States of America

Tech stack

Amazon Web Services (AWS)
Systems Engineering
Automation of Tests
Azure
Software as a Service
Cloud Computing
Configuration Management
Continuous Integration
Linux
DevOps
Identity and Access Management
Python
Linux System Administration
Network Virtualization
Ansible
Software Deployment
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Application Enhancement Tool
Multi-Cloud
AWS Lambda
Gitlab-ci
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Google Cloud Functions
Terraform
Serverless Computing

Job description

This position is for a SaaS client of ours. You will work in a highly critical production environment where your expertise in automation and systems engineering is essential. Supporting all three leading hyperscalers - AWS, Azure, and GCP, you will have a unique opportunity to develop and maintain solutions across multiple cloud platforms.

In this role, you will leverage infrastructure-as-code, CI/CD pipelines, and container orchestration tools to ensure reliable, scalable, and secure cloud operations. You will also develop and maintain scripts and automation tools to streamline deployment, configuration management, and system maintenance.

We emphasize cloud-agnostic automation using tools like Terraform to build reusable infrastructure that works consistently across AWS, Azure, and GCP by leveraging common features across cloud providers. This role involves implementing efficient engineering and operational processes, as well as establishing best practices to continuously enhance operational efficiency within and across teams.

Our team values engineers who take full responsibility for their work. You demonstrate end-to-end ownership of systems and tasks. Proactive and accountable, you take pride in maintaining and continuously improving your work in production to ensure it delivers long-term value., * Develop and maintain reusable Terraform scripts, modify and run infrastructure code from existing modules, and troubleshoot deployment issues across AWS, Azure, and GCP environments.

  • Develop new Ansible playbooks, and modify, troubleshoot, and maintain existing Ansible code to automate infrastructure configuration and management tasks.

  • Develop and maintain Python scripts to automate operational tasks, including AWS Lambda functions and Azure Functions, to support infrastructure automation.

  • Design, implement, and maintain CI/CD pipelines using tools like GitLab CI and ArgoCD; write and optimize pipeline scripts for automated testing and deployment; leverage GitOps practices for managing infrastructure and application delivery.

Requirements

  • Cloud Platforms: Strong hands-on experience with public cloud platforms (AWS, Azure, GCP), including core services such as virtual networking, compute, storage, IAM, serverless functions, and monitoring.

  • Terraform: Deep hands-on experience developing, maintaining, and troubleshooting infrastructure-as-code using Terraform across multi-cloud environments.

  • Ansible: Experience using Ansible to automate day-to-day operational tasks, including configuration management and troubleshooting of infrastructure resources.

  • CI/CD & GitOps: Hands-on experience with GitLab CI and ArgoCD to design and maintain pipelines for automated testing, deployment, and infrastructure management using GitOps principles.

  • Linux & Automation: Proficient in Linux system administration and automation using Python to streamline infrastructure management and operational tasks.

  • Serverless Computing: Experience developing, deploying, and managing serverless functions using cloud-native services such as AWS Lambda, Azure Functions, and Google Cloud Functions., 8+ years of experience in cloud infrastructure engineering or DevOps Engineering

  • Deep hands-on expertise with Terraform and Ansible

  • Experience with GitLab CI, and/or ArgoCD in production environments

  • Working experience with cloud platforms must have 2 or 3 of the cloud providers AWS, Azure, GCP and their core services (compute, storage, networking, IAM, serverless functions).

  • Experience developing and maintaining CI/CD pipelines and automating deployments using GitOps practices

  • Infrastructure automation using Python * Experience integrating AI-powered tools to enhance operational efficiency.

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