Senior_Manager_Principal_Cloud_Engineer_Technical_Manager
Bristol Myers SquibbMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and implementation of AI-enabled, cloud-native platforms leveraging AWS services including serverless and managed services.
Manage and mentor Cloud and DevOps engineering teams to deliver scalable, secure, and automated cloud solutions with reusable Infrastructure-as-Code components.
Own end-to-end system architecture focusing on automation, cloud networking, API governance, disaster recovery, and incremental Agile delivery for complex multi-account, multi-region AWS environments.
Minimum Requirements
Strong expertise in AWS cloud services beyond EC2 and databases, including serverless technologies like AWS Step Functions, Lambda, Elastic Beanstalk, APIGW.
Hands-on development skills in Python, JavaScript/NodeJS, experience with REST API design, GraphQL, React/CSS frontend, and scripting (Python, Bash, Ruby, Perl, PowerShell).
Demonstrated experience leading senior cloud and DevOps engineering teams; experience with AI SDKs and genAI concepts including prompt engineering and multiple LLM models.
Work Experience Required: Not explicitly mentioned in the JD. Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in designing and managing large-scale, multi-account, multi-region AWS serverless architectures with high emphasis on security, scalability, and AWS Well-Architected best practices.
Strong background in Agile and DevOps methodologies with the ability to influence cross-functional teams and promote cloud and AI best practices.
Proficient in breaking complex projects into MVPs, designing for end-user simplicity while handling system complexity, and well-versed in cloud automation and continuous integration/deployment.
