Job Description

#LI-GM

Job Title: Native Japanese Cloud Engineer (Serverless Specialization)

Client & Project Overview:

We are seeking a skilled Cloud Engineer with a specialization in Serverless Computing to join our Cloud Engineering team supporting the Google Workspace Support project for our client. This role offers an exciting opportunity to work in a cloud-native environment, focusing on the design, deployment, and optimization of serverless applications across cloud platforms.

Key Responsibilities:

As a Cloud Engineer (Serverless Specialization), you will:

• Maintain serverless architectures using cloud-native services.

• Implement and optimize event-driven architectures, microservices, and API gateways to ensure scalability and performance.

• Develop and deploy infrastructure using Infrastructure as Code (IaC) tools such as YAML and JSON.

• Collaborate with cross-functional teams to integrate serverless applications into existing cloud environments.

• Ensure secure and efficient communication within serverless environments using OAuth2, SSL, HTTP headers, and other security best practices.

• Respond to, diagnose, resolve, and track customer support queries and community support cases via phone, email, and chat.

• Utilize troubleshooting tools and techniques to establish root causes for incidents and provide customer-facing root cause assessments.

• Classify and document problem categories, recommending preventative actions for future issue mitigation.

• File detailed issue reports to Level 3 support, build documentation, procedures, and steps to reproduce issues, and suggest code-level resolutions for complex product bugs.

• Perform community management tasks and contribute to technical forums as needed.

• Handle customer-specific architectural design requirements, providing solutions tailored to serverless platforms and related services.

Job Requirements

Required Qualifications:

• Bachelor's degree in Engineering (Computer Science preferred) with 4+ years of professional experience in cloud engineering, specializing in serverless technologies.

• Intermediate proficiency in Python or Java for serverless application development.

• Strong hands-on experience with CI/CD pipelines, automating deployment processes for serverless solutions.

• Intermediate knowledge of web technologies, including HTML, CSS, and JavaScript.

• Excellent in authentication and security mechanisms such as OAuth2, SSL, and HTTP headers to ensure compliance and data protection.

• Intermediate skill in JSON, YAML, and configuration management for cloud services.

• Strong knowledge of cloud platforms (AWS, Azure, GCP), with specialization in at least one provider.

• Professional certifications such as AWS Certified Developer – Associate, Azure Solutions Architect, or Google Cloud Professional Developer are a major plus.

Technical Skills:

• Cloud Platforms: AWS, Azure, GCP (specialization in at least one).

• Programming Languages: Python or Java – Intermediate.

• Infrastructure as Code (IaC): JSON, YAML – Intermediate.

• Web Development: HTML, CSS, JavaScript – Intermediate.

• Security: OAuth2, SSL, HTTP headers – Intermediate.

• CI/CD Pipelines: Jenkins, GitHub Actions, GitLab CI/CD – Intermediate.

Preferred Experience:

• Familiarity with API gateway services, event-driven design patterns, and cloud-native development practices.

• Strong understanding of cloud storage options and integrations in serverless architectures.

• Experience working with monitoring tools to analyze serverless function performance and latency.

• Scripting experience with Node.js for automation purposes.

• Knowledge of containerization technologies such as Docker and Kubernetes is a plus.

Additional Responsibilities:

• Provide architectural recommendations and best practices for serverless solution implementation.

• Document processes, troubleshooting guides, and knowledge-sharing materials.

• Engage with stakeholders to ensure alignment of serverless solutions with business objectives.

• Contribute to ongoing efforts to improve deployment processes and operational efficiency.