Confidential
Vice President of Cloud Managed Services Engineering
Confidential, New York, New York, United States, 10001
Vice President of Cloud Managed Services Engineering
About the Company
Successful asset management & financial services firm
Industry Financial Services
Type Public Company
Founded 1988
Employees 10,001+
Categories
Asset Management Banking Consulting Crowdfunding Finance Financial Services FinTech Internet Risk Management Investment Management Consulting & Professional Services Manhattan New York City Investing Savings & Investing Alternative Investments and Assets Risk Analysis Financial Advisers Insurance Funds Worker's Compensation Funds
Business Classifications
B2B Enterprise SAAS
About the Role
The Company is seeking a Senior Engineer to join its Platform Engineering Cloud Managed Services team. The successful candidate will be responsible for designing and managing multi-cloud Platform-as-a-Service (PaaS) solutions, with a focus on AWS, Azure, and GCP. This role requires a visionary leader and hands-on builder who can ensure the scalability, security, and best practices of the cloud architecture. Key responsibilities include designing and deploying multi-cloud services, infrastructure automation, API design, data modeling, and the implementation of agentic AI for cloud operations. The ideal candidate will have a strong background in software engineering, at least 8 years of platform engineering experience, and a proven track record in cloud technologies.
Applicants for this role at the company should have a deep knowledge of PaaS services across major cloud providers and be adept at designing cloud-agnostic solutions. Strong programming and scripting skills, particularly in Python, are essential, as is experience with Infrastructure-as-Code tools. The role also requires proficiency in cloud architectural principles, performance optimization, and a collaborative mindset for cross-team collaboration. While not mandatory, experience in enterprise cloud management, DevOps, containerization, and a strong awareness of cloud security and compliance best practices are preferred. The ideal candidate will have a background in AI/ML technologies and the ability to lead technical projects, mentor junior engineers, and drive continuous improvement in cloud automation and AI integration.
Travel Percent Less than 10%
Functions
Engineering
About the Company
Successful asset management & financial services firm
Industry Financial Services
Type Public Company
Founded 1988
Employees 10,001+
Categories
Asset Management Banking Consulting Crowdfunding Finance Financial Services FinTech Internet Risk Management Investment Management Consulting & Professional Services Manhattan New York City Investing Savings & Investing Alternative Investments and Assets Risk Analysis Financial Advisers Insurance Funds Worker's Compensation Funds
Business Classifications
B2B Enterprise SAAS
About the Role
The Company is seeking a Senior Engineer to join its Platform Engineering Cloud Managed Services team. The successful candidate will be responsible for designing and managing multi-cloud Platform-as-a-Service (PaaS) solutions, with a focus on AWS, Azure, and GCP. This role requires a visionary leader and hands-on builder who can ensure the scalability, security, and best practices of the cloud architecture. Key responsibilities include designing and deploying multi-cloud services, infrastructure automation, API design, data modeling, and the implementation of agentic AI for cloud operations. The ideal candidate will have a strong background in software engineering, at least 8 years of platform engineering experience, and a proven track record in cloud technologies.
Applicants for this role at the company should have a deep knowledge of PaaS services across major cloud providers and be adept at designing cloud-agnostic solutions. Strong programming and scripting skills, particularly in Python, are essential, as is experience with Infrastructure-as-Code tools. The role also requires proficiency in cloud architectural principles, performance optimization, and a collaborative mindset for cross-team collaboration. While not mandatory, experience in enterprise cloud management, DevOps, containerization, and a strong awareness of cloud security and compliance best practices are preferred. The ideal candidate will have a background in AI/ML technologies and the ability to lead technical projects, mentor junior engineers, and drive continuous improvement in cloud automation and AI integration.
Travel Percent Less than 10%
Functions
Engineering