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DevOps Engineer T1

The Dignify Solutions, LLCUnited States🇺🇸United StatesPosted Oct 2, 2026

Why This Role Stands Out

This hybrid DevOps Engineer role offers a fantastic opportunity to develop your troubleshooting and automation skills in a high-impact production environment, directly contributing to service availability and operational stability. If you're a proactive problem-solver eager to take ownership and excel in a dynamic cloud infrastructure setting, this role is for you. Apply today to join a team dedicated to robust cloud operations.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
18 hours ago
ExpressAWSAnsibleAzureBashPythonVault

Job Description

Cloud Infrastructure Operations Engineer

Description:

  • You will work in a highly critical production environment as a frontline Cloud Infrastructure Engineer, you will be the first point of contact for cloud-related escalations reported by customers and application teams. This is a high-impact, “eye-on-glass” role where your primary mission is to identify, isolate, and resolve infrastructure issues before they impact business operations. You are expected to be an “active troubleshooter” and not just a ticket router who uses deep technical knowledge and modern AI tools to expediate resolutions and support our senior team.
  • Ability to safely execute automation scripts for cloud resource and OS-level operations, understanding scripts inputs and outputs, workflow, and troubleshooting basic execution issues.
  • We value engineers who take full responsibility for their work. Take prompt action on production issues, follow established troubleshooting and escalation procedures, and maintain a strong focus on service availability, uptime, and operational stability.

RESPONSIBILITIES:

  • Act as the primary responder for incoming cloud infrastructure issues. Perform rapid triage to understand the scope and business impact of reported problems.
  • Collect and analyze system logs, network traces, and filesystem information. Apply Red Hat Linux skills to perform basic LVM operations, analyze syslog, and troubleshoot OS-level processes and services.
  • Contact application owners or customers directly to gather missing details. Isolate issues between the application layer, OS layer and Cloud Infrastructure layer.
  • When needed, open and manage support cases with cloud providers (AWS/Azure).
  • If an issue exceeds defined SLAs, package all collected logs, evidence, and preliminary troubleshooting into a detailed and defined hand-off template for the senior Infrastructure team.
  • Leverage AI assistants and AIOps tools to analyze and summarize logs, identify potential issues, and accelerate troubleshooting and evidence gathering.
  • Monitor AWS and Azure Backup status report and perform VM/image-based restores such as AWS AMI and Azure image restores following established procedures.
  • Develop and maintain small-scale automation using Bash, Python, and Ansible to streamline data collection, filtering, and routine troubleshooting and evidence-gathering tasks.
  • Available to provide support when needed during off-hours, nights, or weekends when critical infrastructure issues or escalation require immediate attention.

SKILLS

Cloud Platforms: Hands-on experience with AWS and Azure core services:

  • Compute: EC2, Virtual Machine, AMI and Managed image
  • Networking: VPC/Vnet, Subnets, Security Groups, NSGs, VPN, Direct Connect, Express Route, and Load Balancers
  • Storage: S3, EBS, EFS, Azure Blobs, Managed disks and Vault
  • Security: IAM policies, RBAC, Secret keys
  • Backup and Restore: Backup configuration, monitoring, and restore operations for cloud resources and virtual machines

Linux & OS-Level: Strong administration skills in Red Hat Linux are mandatory:

  • LVM, filesystem administration – creation, expansion
  • Managing system services, daemons, os-level logging
  • Performance tuning and resource troubleshooting (CPU/Memory/IO etc.)

Scripting/Automation: Proficiency in programming/scripting languages and automation tools such as Python, Bash, or Ansible

AI for support: Familiarity with AI tools for troubleshooting, log analysis, and infrastructure support

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