AWS Cloud Engineer

  • REMOTE WORK, VA
  • Posted 3 hours ago | Updated 3 hours ago

Overview

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

Skills

Security Clearance
Finance
Scripting
Computer Networking
Project Management
Scrum
Agile
Collaboration
JIRA
Confluence
Continuous Integration
Continuous Delivery
Jenkins
GitLab
Bitbucket
OCI
Management
Kubernetes
Terraform
Ansible
Git
GitHub
High Availability
Scalability
Disaster Recovery
Security Controls
Amazon Web Services
Microsoft
Microsoft Azure
Google Cloud Platform
Google Cloud
Regulatory Compliance
FISMA
FedRAMP
Identity Management
Cloud Computing
Network
Information Technology
Systems Engineering
FOCUS

Job Details

Job ID: 2506053

Location: REMOTE WORK, VA, US

Date Posted: 2025-05-23

Category: Information Technology

Subcategory: Cloud Comp Engr

Schedule: Full-time

Shift: Day Job

Travel: Yes, 10 % of the Time

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: Yes

Description

SAIC is seeking a AWS Cloud Engineer supporting a growing federal financial program. This individual will have to have experience in a multi-cloud environment.

Responsibilities Include:
  • Develop and design cloud solutions (within AWS, Azure, Google Cloud Platform and OCI) and Design/build solutions, and processes to deploy, operate, and maintain resilient secure Cloud environments to enable development teams to deliver features in the most efficient way possible.
  • Operate and maintain cloud environments using Infrastructure as Code (IaC) and SRE principles.
  • Maintenance and ongoing development of automation and continuous build/integration/deployment infrastructure for multiple environments; write, build and deploy scripts.
  • Enable observability and resilience throughout multi-cloud landing zones and Dev/Test/Prod environments.
  • Support implementation of security policies, standards, guidelines, and governance.
  • Continuously assess, onboard, and enable new FedRAMP cloud services using security best practices for IAM and networking.
  • Optimize cloud performance, security, and cost-efficiency.
  • Collaborate with cross-functional teams to align cloud strategies with business objectives.

Qualifications

Required:
  • Bachelor's and five years or more of related experience. Master's and three or more years of related experience.(4 years experience in lieu of degree)
  • Proven background working in cloud environments with experience and knowledge in 4 or more of the following areas:
    • Project Management methodologies including Scrum or Agile
    • Agile collaboration tools such as Atlassian Jira, Confluence
    • CI/CD tools (Jenkins, GitLab, Bitbucket, Artifactory)
    • CSPs including Azure, AWS, OCI, or Google Cloud Platform
    • Containerization and container management with Kubernetes and Helm
    • Terraform, Ansible, CloudFormation
    • Git, branching strategies, GitFlow and/or GitHub Flow
    • Cloud high availability and scalability best practices and architectures
    • Disaster Recovery planning and implementation in cloud environments
    • Experience designing and implementing landing zone architectures in cloud environments, including multi-account strategies, network segmentation, and security controls.

Desired:
  • Professional cloud certifications from multiple cloud service providers (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, Google Cloud Certified - Professional Cloud Architect)
  • Experience with multi-cloud and hybrid cloud architectures.
  • Familiarity with federal government compliance standards and frameworks (e.g., FISMA, FedRAMP, NIST, Cloud Smart Strategy, etc.)
  • Experience with Zero Trust architecture principles and implementation in cloud environments.
  • Experience with Identity Principles and Access Management at large/enterprise scale.
  • Understanding of Cloud Network principles

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