обновлено 2 дня назад
(Sr.) Cloud Engineer (SOAR)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
(Sr.) Cloud Engineer (SOAR) (AI/Security): Building and operating AI-driven cloud-native security services with an accent on distributed systems, DevOps, and AI-assisted development. Focus on delivering features across design, implementation, testing, deployment, and operations while integrating AI tools and maintaining rigorous code quality.
Location: Taipei, Taiwan
Company
develops AI-powered cybersecurity solutions, including the TrendAI Vision One platform for cyber risk management, security operations, and incident response.
What you will do
- Integrate AI development tools such as GitHub Copilot and Claude Code across specification, testing, code review, and debugging.
- Design, implement, test, deploy, and operate cloud-native security service features.
- Evaluate AI-generated output critically and maintain engineering-quality standards.
- Collaborate with stakeholders and cross-functional teams on requirements, integrations, and troubleshooting.
- Continuously improve delivery processes, automation, and engineering quality.
Requirements
- Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related field.
- Strong programming experience in Python or Go.
- Experience with container technologies such as Docker or Kubernetes.
- Familiarity with relational or NoSQL databases, version control, and CI/CD processes.
- Hands-on experience using AI-native development tools and reviewing AI-generated code critically.
- Good English communication skills, proactive problem-solving ability, and effective teamwork in agile environments.
Nice to have
- Experience with AWS, Azure, or GCP cloud services.
- Familiarity with React or JavaScript.
- Experience with Infrastructure-as-Code tools such as Terraform or CloudFormation.
- Experience with monitoring, alerting, and log visualization tools such as Elasticsearch and Kibana.
- Experience creating personal AI workflows and applying context-engineering techniques.
Culture & Benefits
- Shared ownership of development and testing, with quality built into the engineering process.
- DevOps-oriented work spanning design, coding, testing, and customer issue support.
- Continuous experimentation with AI tools and knowledge sharing across teams.
- Collaboration in agile and cross-functional environments.
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