Senior Cloud Solutions Architect

优缺点分析

角色解读

• Advance to Principal or Staff Cloud Architect, leading architecture for multiple product lines.
• Transition into a Cloud Engineering Manager role, managing a team of architects and engineers.
• Deepen expertise in data engineering or AI infrastructure, becoming a subject matter expert.
• Design and implement cloud-native backend systems and data services on AWS, including Lambda, Step Functions, Glue, and Athena.
• Write production-grade Python code, build CI/CD pipelines, and own end-to-end deployments.
• Collaborate with cross-functional teams to build Data & AI platform features supporting R&D.
• Deep proficiency in Python and SQL, with solid experience in AWS serverless services and event-driven architecture.
• Strong understanding of CI/CD, IaC (Terraform/CloudFormation/CDK), and security best practices.
• + years of experience building scalable, resilient cloud-native systems in an enterprise environment.

申请策略

• Research Merck’s Healthcare and Life Science divisions to align your experience with their mission.
• Prepare to discuss how you’ve dealt with end-to-end ownership and incident response in past roles.
• Emphasize projects where you designed and deployed production systems using AWS serverless services (Lambda, Step Functions, etc.).
• Highlight your experience with Python, CI/CD, and IaC (Terraform/CDK).
• Include examples of scaling systems, ensuring security, and solving complex data pipeline challenges.
• Deepen knowledge of AWS data services like Glue, Athena, and Step Functions if not already proficient.
• Familiarize yourself with containerization (Docker, Kubernetes) and data lake technologies (Apache Iceberg, Snowflake) as nice-to-haves.

面试指南

• Use STAR method for behavioral questions: Situation, Task, Action, Result.
• For technical design questions, start with requirements, then compare options, and justify your choice.
• When discussing failures, emphasize learning and improvement, not just the problem.
• Describe a cloud-native system you built on AWS from scratch. What were the key architectural decisions?
• How do you ensure security and compliance in your cloud solutions?
• Walk me through how you would design a data pipeline using AWS Glue, Lambda, and Step Functions.
• How do you handle deployment failures or incidents in production?
• Explain the trade-offs between serverless and containerized approaches for a given use case.