Corporate Vice President, Manager - Cloud Platform Engineering

Location Designation: Hybrid - 3 days per month 

Our New York Life culture has laid the foundation for over 180 years of commitment to our employees, agents, policy owners, and the communities where we live and work. Here you become a valued part of a welcoming, inclusive, and caring organization with a long-standing legacy in stability and growth. The strength revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance.

As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities.  You will be part of an inclusive team guided by our belief to always be there for each other–providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.

You are our future, and we commit to investing in you accordingly. 

As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth — driving the company's success.

What you'll do:

• The Manager for Cloud Platform Engineering is responsible for a team of Cloud Platform Engineers. 
• The Cloud Platform Manager is responsible for coordinating and curating product roadmaps from the Cloud Platform Engineers,
• Socializing this roadmap withing the larger organization
• Managing commitments and delivery from a team of engineers. 

What you'll bring:

• 7+ years of experience designing and managing AWS cloud infrastructure, with a focus on compute, storage, and AI/ML services.
• Hands-on experience with AWS services: EKS, EC2, ECS, ECR, Fargate, Lamda, and Image Builder, CloudFormation/Terraform.
• Proficient in container technologies (Docker) and orchestration via Kubernetes (Amazon EKS).
• Strong scripting/automation skills (Python, Bash, or similar).
• AWS certifications (e.g., AWS Certified Solutions Architect – Associate/Professional, AWS Certified Machine Learning – Specialty).
• Experience with MLOps tools such as SageMaker Pipelines, MLflow, or Argo Workflows.
• Management experience with a small to medium sized team.
• AWS Proficiency: Strong knowledge of at the AWS cloud platform and its associated services.
• Compute Services: Kubernetes, EKS, EC2, ECS, ECR, Fargate, Lamda, and Image Builder
• AI and ML Services: SageMaker, BedRock, Kendra, Lex, Textract, and other related AI and ML services
• Cloud Architecture and Design: Understanding of cloud architecture principles, including infrastructure as code, microservices, and serverless computing.
• IaC and Automation: Proficiency with Terraform, Lambda, and other languages like Python, Golang for automating tasks, managing infrastructure, and creating deployment pipelines.
• Networking and Security: Understanding of networking concepts, security best practices, and how they apply to cloud environments.
• Problem-Solving and Troubleshooting: Strong analytical and problem-solving skills to identify and resolve technical issues.
• Communication and Collaboration: Excellent communication skills to effectively interact with technical and non-technical stakeholders.
• Continuous Learning: A commitment to staying current with the rapidly evolving cloud landscape and learning new technologies.
• Team and Project Leadership:
• Lead and mentor a team of cloud engineers, DevOps engineers, and platform developers across networking, compute, and automation domains.
• Driv