Azure Cloud Engineer

  • REMOTE WORK, TX
  • Posted 6 hours ago | Updated 6 hours ago

Overview

Remote
On Site
USD 80,001.00 - 120,000.00 per year
Full Time

Skills

Security Clearance
Finance
Innovation
Provisioning
IaaS
Prototyping
Workflow
Migration
Continuous Improvement
Collaboration
Cloud Computing
Knowledge Base
Virtual Machines
Terraform
Continuous Integration
Continuous Delivery
GitHub
Windows PowerShell
Python
Bash
Computer Science
Linux
Unix
Microsoft Windows
Systems Architecture
Management
Microsoft Azure
Orchestration
Kubernetes
Software Development
Amazon Web Services
Writing
Communication
Presentations
Information Technology
Systems Engineering
FOCUS

Job Details

Job ID: 2511658

Location: REMOTE WORK, TX, US

Date Posted: 2025-11-18

Category: Information Technology

Subcategory: Cloud Comp Engr

Schedule: Full-time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: Yes

Description

SAIC is seeking a Cloud Engineer to join our Innovations & Solutions (IS) team in support of the Department of Veterans Affairs Financial Service Center (FSC) program. The Cloud Engineer is responsible for driving innovation & automation that adheres to cloud architectural best practices within the FSC Azure cloud platform. This includes designing & implementing new cloud platform solutions that accelerate cloud migrations from on-prem to Azure, reduce costs, and improve overall security and resiliency of systems & workloads in Azure.



Key Responsibilities:
  • Assist in provisioning and maintaining cloud infrastructure
  • Automate deployment pipelines in a scalable, secure and reliable manner
  • Troubleshoot issues with application deployments to Azure
  • Implement industry cloud best practices for security, performance, cost, & resiliency in all aspects of design & implementation
  • Drive proof-of-concept prototypes that assess the feasibility of solutions and demonstrate to our customer how technology can be leveraged
  • Optimize the existing cloud migration process by introducing more automation into existing workflows with the end goal of speeding up on-premise to cloud migrations
  • Promote continual improvement through automation of existing cloud tools & pipelines
  • Support the IS team in maintaining the Terraform Enterprise server & performing version upgrades
  • Collaborate with other Engineers, Developers, DBAs, System Administrators and Product teams when designing new or improving existing cloud solutions
  • Create knowledge-base articles for new tools and processes you implement

Qualifications

Required Experience:
  • Experience deploying, managing, and monitoring Azure virtual machines (VMs), virtual machine scale sets, and container services like Azure Kubernetes Service (AKS) or Azure Container Apps
  • Knowledge of Azure ecosystems at scale
  • Hands-on experience building and maintaining Azure infrastructure through IaC tools, preferably Terraform.
  • Prior experience with CI/CD tools such as GitHub Actions
  • Experience with Powershell, Python, BASH, etc.


Required Qualifications:
  • 5 years of experience as an Engineer or similar role
  • Bachelor's degree in computer science, systems engineering, or related technical discipline (5 years of additional relevant experience may substitute for education)
  • Three (3) years of experience and proven success in Azure design, support and management within a large-scale organization
  • Experience building and deploying with Linux, UNIX and Windows technologies
  • Understanding of industry standard system architecture and system management concepts and tools

Nice to Have:
  • Azure associate level or higher certifications
  • Container orchestration experience - Kubernetes, OpenShift
  • Software development experience in an enterprise setting
  • AWS Experience
  • Excellent writing skills
  • Excellent oral communication and presentation skills

Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About SAIC