5 дней назад
Senior Cloud Engineer (V1xSP)
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
Senior Cloud Engineer (V1xSP) (Cloud Security/AI): Leading the development and operation of a cloud-based entitlement management platform and full-stack business applications with an accent on AWS/Azure, secure software development, and AI-augmented engineering. Focus on designing scalable and highly available services, integrating systems across departments and countries, and guiding DevOps, database, and microservice delivery.
Location: Taipei, Taiwan
Company
is a global cybersecurity software company developing cloud security products and platforms.
What you will do
- Lead cross-team delivery for the Product Licensing Service group and guide multiple project implementations.
- Design and implement a new-generation entitlement management system with cross-department and cross-country integrations.
- Develop full-stack web applications for business analysis and data visualization.
- Lead cloud-based technical solutions for billing, invoicing, and related business processes using AWS or Azure.
- Apply AI tools throughout specification, testing, code review, debugging, and development workflows.
- Lead DevOps practices, service operations, release automation, and agile delivery across multiple teams.
Requirements
- 3+ years of related professional experience.
- Proficiency in one or more of C#, Python, Go, or Node, with RESTful Web API development experience.
- Strong cloud computing knowledge and the ability to lead AWS or Azure projects.
- Knowledge of application security, secure SDLC, scalable and highly available web services, and database design.
- Experience or familiarity with microservice architectures and container technologies such as Docker and Kubernetes.
- Hands-on experience with AI-native development tools and the ability to critically review AI-generated code.
Nice to have
- Experience with CI/CD tools such as Jenkins or GitHub Actions.
- 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 developing personal AI workflows, prompt template libraries, or project-specific AI configurations.
- Fluent English communication skills.
Culture & Benefits
- AI is treated as a core part of engineering, with continuous experimentation and workflow sharing.
- AI-generated code is reviewed with the same rigor as handwritten code.
- DevOps culture with openness to on-call rotation and flexible working-hour adjustments.
- Fast learning, proactive ownership, independent work, and cross-team collaboration are valued.
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