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Release Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Argentina
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Release Engineer (AI/CI/CD): Designing and owning release delivery for Medallia platform and self-service products with an accent on deployment automation, release risk management, and CI/CD improvements. Focus on building Python or Java internal tools, monitoring Kubernetes deployments, and applying AI to improve release reliability and predictive deployment health.

Location: Buenos Aires vicinity, Argentina; hybrid with 3 days per week onsite

Company

hirify.global develops platform and self-service products supported by cloud engineering operations.

What you will do

  • Own the release management lifecycle across multiple product portfolios and release cadences from daily to quarterly.
  • Coordinate with Product Development, Test Engineering, SRE, and Managed Services across the software development lifecycle.
  • Assess branch, merge, dependency, risk, scope, schedule, and quality impacts.
  • Build automated deployment solutions, internal tooling, and CI/CD improvements to reduce manual work.
  • Identify release blockers and technical bottlenecks, communicating them to technical and executive stakeholders.
  • Use Python or Java and AI capabilities to improve release reliability, speed, and deployment health monitoring.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • At least 3 years of experience in software development, test engineering, QA engineering, or a similar role.
  • Experience with CI/CD practices, semantic versioning, quality gates, release processes, and deployment automation.
  • Experience in release or DevOps environments with a strong focus on automation and automated deployment pipelines.
  • Knowledge of Kubernetes monitoring tools for deployment tracking.
  • Hands-on experience with Python or Java for infrastructure tooling and script automation.

Nice to have

  • Experience with Git, Jenkins, and Jira.
  • Experience communicating with technical and non-technical stakeholders across multiple organizations, including executives.
  • AI or machine learning experience for release workflow optimization and predictive deployment health monitoring.
  • Experience using modern AI coding assistants to accelerate internal tool development.

Culture & Benefits

  • Cross-functional collaboration across engineering, product, testing, reliability, and managed services teams.
  • Focus on replacing manual release work with reliable automation.
  • Equal opportunity workplace committed to diversity and inclusion.

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