Platform Engineering Lead Jobs in New York
Platform Engineering Lead jobs in New York are in strong and sustained demand, concentrated in financial services, media and entertainment, and enterprise technology, with openings at every level from senior individual contributor through director-track leadership. The heaviest hiring activity is in New York City, with secondary clusters in Buffalo and Albany driven by healthcare systems, state government modernization, and regional tech operations. Well-established employers with consistent platform engineering lead hiring in New York include JPMorgan Chase, Verizon, and Citi. The most sought-after specializations are Kubernetes and container orchestration, cloud infrastructure on AWS and Azure, and internal developer platform design. Find a role that fits below and apply directly.
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See related jobsRequisition ID
93993
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Role Summary
The GCP Platform Lead at New York Life is responsible for designing, building, and operating secure, compliant, and scalable cloud and AI-enabled platforms on Google Cloud Platform (GCP). This role enables application, data, and analytics teams by delivering standardized cloud infrastructure, Kubernetes platforms, and governed access to approved Google AI services.
This leader partners closely with Cloud, Data & AI, Information Security, and Risk teams to ensure platforms meet financial services requirements for security, regulatory compliance, resiliency, and operational excellence.
What You'll Bring:
Enterprise Cloud & AI Platform
- Design and deliver secure, scalable GCP architectures with strong governance, data controls, and observability
- Build and operate shared cloud platforms supporting both AI and non-AI workloads
- Architect infrastructure-as-code (IaC) for cloud, networking, and AI service enablement
- Establish platform standards for observability, monitoring, and performance management
- Define and implement reference architectures for AI-enabled applications and agentic workflows
AI / ML & Agentic Systems Enablement
- Enable and operationalize approved Google AI services, including Vertex AI, Gemini APIs, and BigQuery ML
- Design scalable architectures for LLM-based applications, including RAG pipelines and vector search
- Establish patterns for multi-step reasoning, orchestration frameworks, and agent-based systems
- Define memory strategies (short-term and long-term) for AI agents
- Implement evaluation, monitoring, and guardrails for AI systems in production
Kubernetes, Containers & Workloads
- Architect and operate GKE-based platforms for application and AI inference workloads
- Define standardized containerization and deployment patterns using approved base images
- Design scalable microservices architectures for AI APIs and services
- Enable GPU-based workloads where appropriate and approved
DevOps, Automation & MLOps Foundations
- Implement secure CI/CD pipelines aligned with enterprise SDLC standards
- Establish MLOps foundations, including model deployment, versioning, promotion, and rollback
- Integrate AI workloads into DevOps pipelines with appropriate controls and approvals
- Enforce policy-as-code, guardrails, and governance for AI usage
Security, Risk & Compliance
- Architect secure-by-design platforms using IAM, workload identity, and least-privilege access
- Implement data protection controls including encryption, data residency, and access policies
- Ensure compliance with regulatory requirements (e.g., SOC2, SOX, data privacy)
- Integrate platform telemetry with enterprise logging, monitoring, and SIEM systems
- Support audits, risk assessments, and regulatory reviews
Reliability, Observability & Cost Management
- Design highly available, resilient, and fault-tolerant architectures on GCP
- Define and enforce SLAs, SLOs, and SLIs across platform services
- Implement disaster recovery and business continuity strategies
- Establish observability standards (metrics, logs, tracing) and real-time monitoring
- Optimize cloud and AI spend through cost controls, budgeting, and usage governance
- Lead incident response and root cause analysis efforts
Collaboration & Governance
- Partner with Data & AI, Information Security, Risk, and application teams to drive platform adoption
- Define and promote enterprise standards for cloud and AI platform usage
- Provide guidance on responsible and compliant AI adoption
- Develop and maintain reference architectures, documentation, and best practices
What You'll Bring:
- 8+ years of experience in cloud, platform engineering, or DevOps
- Strong expertise in Google Cloud Platform (GCP) architecture and services
- Experience designing and implementing Infrastructure as Code (Terraform or similar)
- Deep experience with Kubernetes and GKE in enterprise environments
- Proficiency in scripting (Python, Bash, or Go)
- Strong understanding of cloud security, IAM, and networking
- Experience operating in regulated or highly governed environments
Preferred Qualifications (AI-Focused)
- Experience enabling and scaling Google AI services such as Vertex AI, Gemini APIs, and BigQuery ML
- Hands-on experience with LLM-based applications, RAG architectures, and vector databases
- Familiarity with MLOps practices (model deployment, monitoring, lifecycle management)
- Experience designing AI inference workloads in production environments
- Understanding of Responsible AI, data governance, and model risk management
- GCP certifications (Professional Cloud Architect, DevOps Engineer; AI certifications a plus)
Pay Transparency
Salary Range: $147,500-$211,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
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. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of New York Life.
Job Requisition ID: 93993
Requisition ID
93993
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Role Summary
The GCP Platform Lead at New York Life is responsible for designing, building, and operating secure, compliant, and scalable cloud and AI-enabled platforms on Google Cloud Platform (GCP). This role enables application, data, and analytics teams by delivering standardized cloud infrastructure, Kubernetes platforms, and governed access to approved Google AI services.
This leader partners closely with Cloud, Data & AI, Information Security, and Risk teams to ensure platforms meet financial services requirements for security, regulatory compliance, resiliency, and operational excellence.
What You'll Bring:
Enterprise Cloud & AI Platform
- Design and deliver secure, scalable GCP architectures with strong governance, data controls, and observability
- Build and operate shared cloud platforms supporting both AI and non-AI workloads
- Architect infrastructure-as-code (IaC) for cloud, networking, and AI service enablement
- Establish platform standards for observability, monitoring, and performance management
- Define and implement reference architectures for AI-enabled applications and agentic workflows
AI / ML & Agentic Systems Enablement
- Enable and operationalize approved Google AI services, including Vertex AI, Gemini APIs, and BigQuery ML
- Design scalable architectures for LLM-based applications, including RAG pipelines and vector search
- Establish patterns for multi-step reasoning, orchestration frameworks, and agent-based systems
- Define memory strategies (short-term and long-term) for AI agents
- Implement evaluation, monitoring, and guardrails for AI systems in production
Kubernetes, Containers & Workloads
- Architect and operate GKE-based platforms for application and AI inference workloads
- Define standardized containerization and deployment patterns using approved base images
- Design scalable microservices architectures for AI APIs and services
- Enable GPU-based workloads where appropriate and approved
DevOps, Automation & MLOps Foundations
- Implement secure CI/CD pipelines aligned with enterprise SDLC standards
- Establish MLOps foundations, including model deployment, versioning, promotion, and rollback
- Integrate AI workloads into DevOps pipelines with appropriate controls and approvals
- Enforce policy-as-code, guardrails, and governance for AI usage
Security, Risk & Compliance
- Architect secure-by-design platforms using IAM, workload identity, and least-privilege access
- Implement data protection controls including encryption, data residency, and access policies
- Ensure compliance with regulatory requirements (e.g., SOC2, SOX, data privacy)
- Integrate platform telemetry with enterprise logging, monitoring, and SIEM systems
- Support audits, risk assessments, and regulatory reviews
Reliability, Observability & Cost Management
- Design highly available, resilient, and fault-tolerant architectures on GCP
- Define and enforce SLAs, SLOs, and SLIs across platform services
- Implement disaster recovery and business continuity strategies
- Establish observability standards (metrics, logs, tracing) and real-time monitoring
- Optimize cloud and AI spend through cost controls, budgeting, and usage governance
- Lead incident response and root cause analysis efforts
Collaboration & Governance
- Partner with Data & AI, Information Security, Risk, and application teams to drive platform adoption
- Define and promote enterprise standards for cloud and AI platform usage
- Provide guidance on responsible and compliant AI adoption
- Develop and maintain reference architectures, documentation, and best practices
What You'll Bring:
- 8+ years of experience in cloud, platform engineering, or DevOps
- Strong expertise in Google Cloud Platform (GCP) architecture and services
- Experience designing and implementing Infrastructure as Code (Terraform or similar)
- Deep experience with Kubernetes and GKE in enterprise environments
- Proficiency in scripting (Python, Bash, or Go)
- Strong understanding of cloud security, IAM, and networking
- Experience operating in regulated or highly governed environments
Preferred Qualifications (AI-Focused)
- Experience enabling and scaling Google AI services such as Vertex AI, Gemini APIs, and BigQuery ML
- Hands-on experience with LLM-based applications, RAG architectures, and vector databases
- Familiarity with MLOps practices (model deployment, monitoring, lifecycle management)
- Experience designing AI inference workloads in production environments
- Understanding of Responsible AI, data governance, and model risk management
- GCP certifications (Professional Cloud Architect, DevOps Engineer; AI certifications a plus)
Pay Transparency
Salary Range: $147,500-$211,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
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. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of New York Life.
Job Requisition ID: 93993
See All 5 Platform Engineering Lead Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find JobsPlatform Engineering Lead Jobs by City in New York
Where New York roles are concentrated, by current openings.
Platform Engineering Lead Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- GE Vernova1
- Gen Digital1
- M&T Bank1
- Morgan Stanley1
- New York Life1
Top Industries Hiring
- Banking & Financial Services1
- Investment & Asset Management1
- Law & Legal Services1
- Technology & Software1
What New York Employers Look For
The qualifications that appear most often in platform engineering lead jobs across New York.
- Bachelor's degree in computer science, software engineering, or a closely related technical field
- Hands-on experience designing and operating large-scale cloud infrastructure on AWS, Azure, or GCP
- Demonstrated leadership of platform or site reliability engineering teams in a production environment
- Deep proficiency with Kubernetes, container orchestration, and infrastructure-as-code tools like Terraform
- Experience building internal developer platforms and improving developer experience across engineering organizations
- Strong cross-functional collaboration skills working with security, product, and software engineering stakeholders
Platform Engineering Lead Jobs in New York: Frequently Asked Questions
How do you become a platform engineering lead in New York?
Platform engineering lead is not a licensed profession in New York, so there is no state-issued credential required to work in the role. The typical New York hiring path starts with a computer science or engineering degree followed by several years as a software or infrastructure engineer, then a move into senior platform or site reliability engineering before stepping into a lead position. New York employers, particularly in financial services and media, place strong weight on hands-on Kubernetes, cloud architecture, and internal tooling experience alongside demonstrated team leadership.
How much do platform engineering leads make in New York?
Platform engineering leads in New York earn a median of about $175,710 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $128,500 for the lowest 10% to over $274,870 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire platform engineering leads in New York?
Employers hiring platform engineering leads in New York right now include GE Vernova, Gen Digital, and M&T Bank, based on current listings on Migrate Mate as of June 2026. New York's dense concentration of financial institutions, large media companies, and enterprise technology firms means platform engineering lead demand here tends to run deeper and more continuously than in most other states.
Which New York cities have the most platform engineering lead jobs?
The most platform engineering lead openings in New York are concentrated in New York, Buffalo, and Rochester. New York City accounts for the vast majority of listings, driven by its density of financial services headquarters, major media and advertising technology companies, and large enterprise tech operations, while any openings outside the city typically reflect healthcare system modernization efforts or state and local government infrastructure projects.
Are there remote platform engineering lead jobs in New York?
Yes, and more than most fields, since platform engineering work is almost entirely software and infrastructure-based and does not require physical presence. About 20% of platform engineering lead openings tied to New York are remote or hybrid as of June 2026, reflecting how broadly distributed engineering teams have become across the industry. The parts of the role most commonly done fully remote are architecture design, infrastructure-as-code development, and internal tooling work, while on-call incident response and team leadership often favor hybrid arrangements.
How can I get hired as a platform engineering lead in New York with little or no experience?
The most realistic entry path is through a site reliability engineer or DevOps engineer role at a mid-to-large New York employer, then building toward a lead designation over time. Financial services firms like JPMorgan Chase and Citi run structured associate and rotational technology programs in New York that place candidates without extensive experience into infrastructure-adjacent roles. Building a visible portfolio of Kubernetes, Terraform, or internal platform projects, earning a cloud certification on AWS or Google Cloud, and contributing to open-source platform tooling are the credentials New York hiring teams consistently cite as differentiators for candidates making the transition.
Where can I find and apply to platform engineering lead jobs in New York?
You can find and apply to platform engineering lead jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the listings to find roles that match your experience level, preferred location, and specialization, then apply directly to the ones that fit.
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