DevOps Engineer

Intone Networks
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Microsoft Azure Bash Shell Cloud Computing DevOps File Systems Identity and Access Management Systems Analysis Subnetting
+15 more
Virtual Private Networks (VPN) Python (Programming Language) Log Analysis Logical Volume Manager Performance Tuning Role-Based Access Control Red Hat Enterprise Linux Ansible Software Engineering Virtual Machines Data Logging Load Balancing Amazon Virtual Private Cloud (VPC) Information Technology AIOps

Job description

This is a contract position for a Cloud Infrastructure Operations Engineer supporting a highly critical production environment. You will serve as a frontline responder for cloud-related escalations, acting as the first point of contact for infrastructure issues reported by customers and application teams. This is a hands-on, high-impact role based remotely with a minimum 6-month duration., * Act as the primary responder for incoming cloud infrastructure issues, performing rapid triage to understand scope and business impact.

  • Collect and analyze system logs, network traces, and filesystem information using Red Hat Linux administration skills, including LVM operations, syslog analysis, and OS-level process troubleshooting.
  • Contact application owners and customers directly to gather missing details and isolate issues across application, OS, and cloud infrastructure layers.
  • Open and manage support cases with cloud providers (AWS and Azure) when needed.
  • Package collected logs, evidence, and preliminary troubleshooting findings into detailed hand-off documentation for the senior Infrastructure team when issues exceed defined SLAs.
  • Use 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 reports and perform VM and image-based restores, including 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 tasks.
  • Provide support during off-hours, nights, or weekends when critical infrastructure issues or escalations require immediate attention.

Requirements

DevOps, Software Engineering, Cloud Computing, Production Systems, Operational Support, Patient Assessment, Systems Analysis, Red Hat Linux Operating System, Operating Systems, Identify Issues, * Required

  • 1-3 years of progressive IT experience with hands-on exposure to cloud infrastructure administration and operational support.
  • Bachelor’s degree in Computer Science, Information Technology, or equivalent.
  • Strong administration skills in Red Hat Linux, including LVM, filesystem administration (creation and expansion), system service and daemon management, OS-level logging, and performance tuning and resource troubleshooting (CPU, memory, IO).
  • Hands-on experience with AWS core services: EC2, Virtual Machines, AMI, Managed images, VPC, Subnets, Security Groups, VPN, Direct Connect, Load Balancers, S3, EBS, EFS, IAM policies, and backup and restore operations.
  • Hands-on experience with Azure core services: Virtual Machines, Managed images, VNet, Subnets, NSGs, Express Route, Load Balancers, Azure Blobs, Managed disks, RBAC, Secret keys, and backup and restore operations.
  • Proficiency in at least one of the following scripting or automation tools: Python, Bash, or Ansible.
  • Ability to safely execute automation scripts for cloud resource and OS-level operations, understanding script inputs and outputs, workflow, and basic troubleshooting of execution issues.
  • Familiarity with AI tools for troubleshooting, log analysis, and infrastructure support.
  • Preferred
  • Hands-on mindset with willingness to actively troubleshoot issues, resolve problems in real time, and communicate directly with stakeholders.
  • Sound judgment and ability to follow established procedures, make appropriate decisions within defined guidelines, and recognize when issues should be escalated to senior engineers.
  • Eagerness to learn from senior engineers and progressively take on more complex technical responsibilities.

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