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Cloud Infrastructure DevOps Engineer; DevOps Engineer; Remote

Remote / Online - Candidates ideally in
Herndon, Fairfax County, Virginia, 22070, USA
Listing for: The Dignify Solutions, LLC
Remote/Work from Home position
Listed on 2025-12-25
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, SRE/Site Reliability, IT Project Manager
Job Description & How to Apply Below
Position: Cloud Infrastructure DevOps Engineer (DevOps Engineer )  - Remote

Cloud Infrastructure Dev Ops Engineer (Dev Ops Engineer) - Remote

The Dignify Solutions, LLC

Skills
  • 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 & Git Ops:
    Hands‑on experience with Git Lab CI and ArgoCD to design and maintain pipelines for automated testing, deployment, and infrastructure management using Git Ops 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.
Minimum Qualifications
  • 8+ years of experience in cloud infrastructure, Dev Ops, or related engineering roles.
  • Deep hands‑on expertise with Terraform, Ansible, Kubernetes, Git Lab CI, and ArgoCD in production environments.
  • Strong understanding of cloud platforms (AWS, Azure, GCP) and their core services (compute, storage, networking, IAM, serverless functions).
  • Experience developing and maintaining CI/CD pipelines and automating deployments using Git Ops practices.
  • Proficient in Linux system administration and infrastructure automation using Python.
Preferred Qualifications
  • Experience deploying and managing Kafka on Kubernetes, including performance tuning, scaling, and monitoring in a production environment.
Seniority level
  • Mid‑Senior level
Employment type
  • Full‑time
Job function
  • Engineering and Information Technology
Industries
  • IT Services and IT Consulting and Civil Engineering
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