Senior DevOps Software Engineer

SAIC • United State
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

SAIC is seeking a Senior DevOps Software Engineer to own and enhance the organization's CI/CD pipelines and delivery processes. The role requires experience with CI/CD, automation, and cloud environments. The ideal candidate will have strong experience working in agile software teams and with cloud environments such as AWS, Azure, or GCP.

Key Highlights
CI/CD experience
Cloud environments
Agile software teams
Key Responsibilities
Own and enhance the organization's CI/CD pipelines and delivery processes
Collaborate with development, QA, and operations teams
Design, implement, and maintain automated, reliable, and scalable build, test, integration, and deployment workflows
Technical Skills Required
CI/CD Automation Cloud environments Docker Kubernetes GitLab CI/CD Bash Python Groovy Git AWS Azure GCP
Benefits & Perks
Remote work
Salary range $120,001 - $160,000
Nice to Have
AWS DevOps Engineer certification
Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation

Job Description


Job ID 2612089

Location Remote Work, TX, US

Date Posted 2026-05-01

Category Software

Subcategory SW Engineer

Schedule Full-Time

Shift Day Job

Travel Yes - 10% of the time

Minimum Clearance Required Secret

Clearance Level Must Be Able to Obtain None

Potential for Remote Work ORA_REMOTE

Description

SAIC is seeking a Dev Ops SW Engineer, who has CI/CD (Continuous Integration / Continuous Development) experience. This is a fully remote position.

Works as a senior member of a software engineering and DevOps team, owning and enhancing the organization's CI/CD pipelines and delivery processes throughout the full software development lifecycle. Collaborates with development, QA, and operations teams to design, implement, and maintain automated, reliable, and scalable build, test, integration, and deployment workflows. Utilizes agile methodologies to enable fast, secure, and high-quality software releases, including automated testing, artifact management, and production deployments.

Analyzes and optimizes pipeline performance, troubleshoots integration and deployment issues, implements best practices for version control, branching strategies, and infrastructure as code (IaC). Develops and maintains scripts, tools, and configurations to automate processes across cloud and containerized environments, ensuring compliance, security, and observability in deployments.

Qualifications

BASIC QUALIFICATIONS

  • 10+ yrs experience in software development, DevOps, or infrastructure engineering (with significant focus on CI/CD and automation) or Bachelors and six (years) or more of related experience.
  • Experience working on an agile software team, including participation in sprints, stand-ups, and retrospectives.
  • DoD 8570 certification in IAT Level II (e.g., CompTIA Security+ CE, CompTIA CySA+, CompTIA SSCP, Cisco CCNA Security, EC-Council CND, GIAC GICSP, GIAC GSEC) or ability to obtain within 90 days.
  • Strong experience working in cloud environments (e.g., AWS, Azure, or GCP).
  • Hands-on experience with Docker and containerized applications, including container orchestration basics (e.g., Kubernetes preferred but not required).
  • Deep experience designing, implementing, and maintaining CI/CD pipelines using GitLab CI/CD (or similar tools like Jenkins, GitHub Actions, Azure Pipelines).
  • Proficiency in scripting and automation (e.g., Bash, Python, Groovy, or similar) for pipeline development and tooling.
  • Experience with version control systems (Git) and branching strategies in a collaborative environment.
  • US Citizen and active Secret Clearance

Preferred Qualifications

  • AWS DevOps Engineer certification (or equivalent in Azure/GCP DevOps). Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.
  • Advanced knowledge of monitoring, logging, and observability tools integrated into CI/CD (e.g., Prometheus, ELK stack, Datadog).
  • Familiarity with automated testing frameworks and integration into pipelines (unit, integration, security scanning, performance).
  • Experience supporting deployments in regulated or secure environments (e.g., DoD, government systems).
  • Familiarity with tools such as GitLab Runners, ArgoCD, Helm, or similar for advanced deployment automation.
  • Background in PHP-based applications or Learning Management Systems (LMS)/Learning Record Stores (LRS) is a plus but not required.

Target salary range $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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