Corporate Vice President - Google Cloud Lead Engineer (GCP)

New York Life•New York, NY
•$133,000 - $190,000•Hybrid

About The Position

New York Life is seeking an experienced Google Cloud Lead Engineer to drive enterprise-scale cloud architecture, modernization, and operational excellence across its Google Cloud Platform (GCP) environment. This senior technical leader will shape cloud strategy, establish engineering standards, and guide teams in building secure, scalable, and compliant cloud solutions. The role combines hands-on engineering with architectural leadership and supports large-scale transformation in a regulated industry. The position is part of the Tech, Data, AI and Ventures organization, which deploys technology, data, AI, and ventures to advance New York Life’s businesses and deliver measurable outcomes. The role is designated hybrid, with three days per quarter in the office.

Requirements

  • Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent relevant experience.
  • At least 8 years of software, cloud, or infrastructure engineering experience.
  • At least 4 years of hands-on Google Cloud Platform experience.
  • Proven experience designing cloud-native and hybrid architectures.
  • Expertise in GCP core services and networking.
  • Expertise in Kubernetes (GKE) and containerization.
  • Expertise in CI/CD pipelines and DevOps practices.
  • Expertise in Infrastructure as Code; Terraform is preferred.
  • Experience with Python, Java, Go, or similar programming languages.
  • Experience working in Agile/DevOps environments.
  • Strong communication and stakeholder management skills.
  • Ability to influence technology and business teams.
  • Excellent analytical and problem-solving abilities.
  • Strategic thinking and willingness to remain hands-on.
  • Alignment with New York Life’s values of integrity, humanity, and financial strength.

Nice To Haves

  • GCP Professional certification, such as Cloud Architect, DevOps Engineer, or Data Engineer.
  • Experience in regulated industries such as insurance, financial services, or healthcare.
  • Strong background in security, identity management, and compliance frameworks.
  • Experience in hybrid or multi-cloud environments, including integrating services and resources across GCP and AWS.
  • Knowledge of SRE, observability, and reliability engineering.

Responsibilities

  • Lead the design and implementation of enterprise-grade solutions on Google Cloud Platform.
  • Develop and maintain cloud reference architectures and engineering standards aligned with security and regulatory requirements.
  • Architect resilient, scalable, secure, cloud-native applications.
  • Lead migration and modernization efforts, including re-platforming and application transformation.
  • Serve as technical lead for cross-team GCP projects.
  • Conduct architecture reviews, provide engineering best practices, and guide solution design.
  • Mentor engineers in application, infrastructure, and platform teams.
  • Serve as the escalation point for complex cloud and infrastructure issues.
  • Build and optimize CI/CD pipelines using Harness CI/CD.
  • Implement Infrastructure as Code using Terraform.
  • Automate deployment, provisioning, monitoring, and operational workflows.
  • Drive adoption of Site Reliability Engineering practices to reduce manual toil, using templates for operational work and secure release practices.
  • Ensure solutions meet New York Life’s security, privacy, and regulatory compliance standards.
  • Implement IAM, network security, encryption, and key-management best practices.
  • Partner with enterprise security, risk, and compliance teams to align proposed technical solutions with enterprise policies and guardrails.
  • Establish and enforce guardrails for cost management and governance.
  • Lead implementation and optimization of GCP services, including Compute Engine, GKE, Cloud Run, BigQuery, Cloud SQL, Pub/Sub, and Cloud Storage.
  • Account for GCP implementations involving MLOps and Agentic AI tools in Vertex AI.
  • Enhance observability using Cloud Monitoring, Logging, and New Relic.
  • Optimize performance, reliability, scalability, and cost efficiency across environments.
  • Partner with product teams, architects, and business stakeholders to translate requirements into scalable cloud solutions.
  • Contribute to cloud roadmaps, modernization strategies, and technology evaluations.
  • Support proofs of concept and adoption of emerging cloud capabilities.

Benefits

  • Full package of employee benefits.
  • Leave programs.
  • Adoption assistance.
  • Student loan repayment programs.
  • Annual discretionary bonus eligibility.
  • May be eligible to participate in an incentive program.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service