DevOps Developer (AWS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
DevOps Developer (AWS): Developing and maintaining software systems from vision to production with an accent on CI/CD pipelines, infrastructure as code, and cloud-native deployments. Focus on building scalable solutions using AWS tools, Docker, and Terraform while ensuring system reliability and security.
Location: Must be based in the United States (San Antonio, TX). Role may require occasional in-person work at a Booz Allen or customer facility.
Salary: $69,400–$158,000 (annualized USD).
Company
is a global technology and management consulting firm focused on solving complex challenges for government and commercial clients.
What you will do
- Develop and deploy software systems from initial vision to production-ready state.
- Design and manage CI/CD pipelines to streamline software delivery.
- Implement infrastructure as code using Terraform and Cloud Formation.
- Collaborate with teams to identify system improvements and architectural enhancements.
- Utilize AWS DevOps tools including CodeCommit, CodeBuild, CodeDeploy, and ECS.
- Ensure solutions align with current architecture and future operational requirements.
Requirements
- Must hold an active Secret clearance.
- 3+ years of experience with GitHub.
- 1+ years of experience with AzureDevOps.
- 1+ years of experience with AWS DevOps tools (CodeCommit, CodeBuild, CodeDeploy, ECS).
- Proficiency with Docker and CI/CD processes.
- Bachelor's degree.
Nice to have
- Experience with Agile methodology and extreme programming.
- Proficiency in languages such as Java, Python, C#, or JavaScript.
- Experience with React, NodeJS, PHP, or Drupal.
Culture & Benefits
- Comprehensive health, life, and disability insurance.
- Retirement benefits and financial planning support.
- Paid leave and work-life balance programs.
- Professional development and tuition assistance.
- Recognition awards program for exceptional performance.
Hiring process
- Identity verification process using biometrics and AI.
- Interviews and assessments require camera usage.
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