Назад
5 дней назад

Manager, Solutions Support Engineering - São Paulo (AI/Cloud)

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Brazil
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
Manager, Solutions Support Engineering - São Paulo (AI/Cloud): Managing and developing technical support engineers while scaling SaaS customer support through cloud infrastructure expertise, escalation management, and AI-powered automation with an accent on AWS, Azure, GCP, Kubernetes, and customer-impacting incident resolution. Focus on leading high-priority technical escalations, building internal support tools with AI APIs, and improving support productivity through scalable processes and documentation.

Location: Remote within Brazil; must be located in São Paulo and work 10am to 7pm BRT

Company

Wiz provides cloud and AI security by connecting code, cloud, and runtime into a shared security context, with an AI-powered platform supported by Google Threat Intelligence and Security Operations.

What you will do

  • Manage, coach, mentor, and develop a team of Technical Support Engineers.
  • Own team accountability, performance reviews, performance plans, employee relations, onboarding, and technical training.
  • Lead high-priority customer and internal technical escalations involving debugging, networking, system administration, and customer environments.
  • Coordinate incident management requests with Product and Engineering teams and partner with Customer Success Managers.
  • Design and implement AI-powered automations, internal tools, and scalable support solutions.
  • Create and maintain internal and customer-facing technical documentation and knowledge-base articles.

Requirements

  • Must be located in São Paulo, Brazil and have the legal right to work in Brazil without visa sponsorship.
  • Native Brazilian Portuguese and excellent spoken and written English.
  • At least 1 year of experience managing external technical support teams in a SaaS environment as a hands-on escalation anchor.
  • At least 5 years of hands-on experience deploying and maintaining AWS, Azure, or GCP infrastructure.
  • Direct experience configuring and troubleshooting Kubernetes clusters and virtualized environments.

Nice to have

  • Experience writing scripts or building tools with AI APIs to automate operational workflows.
  • Practical experience with hybrid-cloud identity, security protocols, and monitoring or logging pipelines.

Culture & Benefits

  • Work as part of a global technical support organization.
  • Use an AI-first approach to build advanced support models and internal tools.
  • Collaborate with security, Product, Engineering, Customer Success, and customers.
  • Support infrastructure trusted by major enterprises, including Fortune 100 companies.

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