Overview
Remote
On Site
USD 80,001.00 - 120,000.00 per year
Full Time
Skills
DevSecOps
Security Clearance
Hosting
Operational Excellence
IaaS
Business Software
Computer Science
DevOps
IDP
Network Design
COTS
AngularJS
Java
Ansible
Progress Chef
Puppet
Splunk
Kubernetes
Workflow
Continuous Integration
Continuous Delivery
Agile
Soft Skills
Servers
Python
Amazon DynamoDB
Terraform
Jenkins
Amazon Web Services
Command-line Interface
Windows PowerShell
Bash
Amazon RDS
Remote Desktop Services
Geographic Information System
SAP BASIS
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2507344
Location: REMOTE WORK, VA, US
Date Posted: 2025-07-08
Category: Software
Subcategory: DevSecOps
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 an AWS DevOps Engineer with experience creating automations using Terraform, Puppet, and Kubernetes that accelerate our client's adoption of AWS native services and their maturation in AWS managed assets.
Responsibilities are comprised of:
Qualifications
Required Education and Skills:
DevOps Skills sought:
Data Pipelines/ Geo Servers:
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Location: REMOTE WORK, VA, US
Date Posted: 2025-07-08
Category: Software
Subcategory: DevSecOps
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 an AWS DevOps Engineer with experience creating automations using Terraform, Puppet, and Kubernetes that accelerate our client's adoption of AWS native services and their maturation in AWS managed assets.
Responsibilities are comprised of:
- Maintaining existing AWS hosting environments to ensure operational excellence and availability to client
- Creation of new DevOps pipelines for delivering
- Legacy business applications from on-premise to AWS IaaS
- New AWS native services for business application consumption
- Enrichment of Splunk log aggregation
Qualifications
Required Education and Skills:
- BS in Computer Science or related field with five or more years of experience (4 years experience in lieu of degree)
- Ability to obtain and maintain a USDA public trust requiring U.S. Citizenship
DevOps Skills sought:
- Must have prior experience implementing IDP (internal Developer Platform) with Kratix and Argo CD
- AWS network architecture
- Application Operations and Maintenance for COTS applications as well as custom-developed Angular, Java, Dotnet, and containerized applications
- AWS serverless technologies
- Multi-account AWS Architectures
- Configuration as Code - Puppet (Ansible, Chef, Salt experience is good and translates to Puppet just fine - though Puppet is preferred)
- Infrastructure as Code - Terraform
- Splunk Enterprise
- Kubernetes
- ArgoCD/GitOps deployment workflows
- CI/CD methodologies
- Experience working in Agile framework
- Soft skills - Task tracking and delivery planning, coordinating with multiple teams, taking ownership of projects
Data Pipelines/ Geo Servers:
- Python
- Lambda
- Dynamodb
- Terraform
- Jenkins
- AWS CLI
- Boto3
- GIS
- Powershell (Bash)
- Other Ops: Patching (RDS + GIS)
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
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.