[Remote] Senior Associate - Google Cloud Lead Engineer Job Details | New York Life Insurance Co
Note: The job is a remote job and is open to candidates in USA. New York Life is seeking an experienced Google Cloud Lead Engineer to drive enterprise-scale cloud architecture, modernization, and operational excellence across their Google Cloud Platform environment. This senior technical leader will shape cloud strategy, establish engineering standards, and guide teams in building secure, scalable, and compliant cloud solutions.
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 NYL’s security and regulatory requirements
- Architect resilient, scalable, secure, cloud‑native applications
- Lead migration and modernization efforts, including re‑platforming and application transformation
- Act as the technical lead for cross-team GCP projects
- Conduct architecture reviews, provide the best engineering practices, and guide solution design
- Provide mentorship to engineers working within application, infrastructure, and platform teams
- Act as the escalation point for complex cloud and infrastructure issues
- Build and optimize CI/CD pipelines using Harness CI/CD
- Implement Infrastructure as Code (IaC) using Terraform
- Automate deployment, provisioning, monitoring, and operational workflows
- Drive adoption of Site Reliability Engineering (SRE) practices to reduce manual toil with templates for operational work and secure release practices
- Ensure all solutions meet New York Life’s standards for security, privacy, and regulatory compliance
- Implement IAM, network security, encryption, and key‑management best practices
- Partner with enterprise security, risk, and compliance teams to ensure proposed technical solutions match with existing enterprise policies and guardrails
- Establish and enforce guardrails for cost management and governance
- Lead the implementation and optimization of GCP services, including Compute Engine, GKE, Cloud Run, BigQuery, Cloud SQL, Pub/Sub, and Cloud Storage
- Account for any GCP implementation with MLOps and Agentic AI tools in Vertex AI
- Enhance observability through Cloud Monitoring and 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 the adoption of emerging cloud capabilities
Skills
- A bachelor's degree in computer science, Engineering, or a related discipline, or equivalent relevant experience
- 8+ years of software, cloud, or infrastructure engineering experience
- 4+ years of hands‑on experience with Google Cloud Platform
- 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 preferred)
- Expertise in Python, Java, Go, or similar programming languages
- Experience working in Agile/DevOps environments
- GCP Professional certifications (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 working in hybrid or multi‑cloud environments such as integrating services and resources across GCP and AWS
- Knowledge of SRE, observability, and reliability engineering
Benefits
- Overtime eligible: Exempt
- Discretionary bonus eligible: Yes
- Sales bonus eligible: No
- Employees are eligible for an annual discretionary bonus
- Employees may also be eligible to participate in an incentive program
- We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs
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