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1 день назад

DevOps Engineer, Infrastructure & Security

178 400 - 279 000$
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

DevOps Engineer, Infrastructure & Security (CI/CD, Kubernetes, Terraform): Building and standardizing secure CI/CD pipelines for hirify.global’s lowside and highside AI products with an accent on deployment automation, infrastructure reliability, and ML workflow integration. Focus on designing unified delivery systems, solving complex deployment issues, and embedding security practices across the SDLC.

Location: Washington, DC, United States

Salary: $178,400–$279,000 USD base salary for Washington, DC.

Company

hirify.global develops reliable AI systems, high-quality data products, and full-stack technologies for enterprises and government agencies.

What you will do

  • Design, develop, and maintain CI/CD pipelines for lowside and highside products.
  • Collaborate with product and engineering teams to improve application compatibility and pipeline integration.
  • Contribute to deployment architecture and standardize delivery systems across product teams.
  • Troubleshoot complex deployment issues and improve system reliability.
  • Integrate ML architectures and workflows into the software delivery lifecycle.
  • Document pipeline processes and embed security best practices throughout development.

Requirements

  • Active TS/SCI clearance and ability and willingness to obtain a CI Poly are mandatory.
  • 2–3 years of experience in DevOps, DevSecOps, software engineering focused on CI/CD, or a similar role.
  • Experience building or significantly improving CI/CD pipelines and adapting application code for automated environments.
  • Hands-on experience with Kubernetes, Terraform, Docker, cloud platforms, scripting, and automation.
  • Familiarity with CI/CD platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
  • Knowledge of software architecture, system design, version control, security practices, and strong problem-solving and collaboration skills.

Nice to have

  • Exposure to ML lifecycles or MLOps concepts.
  • Prior experience in classified environments.
  • Additional containerization experience with Docker or Kubernetes.

Culture & Benefits

  • Base salary, equity eligibility, and comprehensive health, dental, and vision coverage.
  • Retirement benefits, a learning and development stipend, and generous paid time off.
  • Potential commuter stipend for eligible roles.
  • Inclusive equal-opportunity workplace with reasonable accommodation support.

Hiring process

  • Compensation is determined during the interview process based on location, skills, experience, qualifications, and interview performance.
  • Candidates must wait 90 days before being reconsidered for the same role.

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