обновлено 5 дней назад
Release Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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