3603 Google Cloud Platform Engineer jobs in New York,NY

Recommended

Apply Directly

VP, Cloud Agile Lead

Synchrony Financial

New York, NY 10012

Remote

Bachelor's Degree and 10+ years of Technology experience or equivalent leadership program experience or in lieu of degree, High School/GED and 15+ years of IT experience
Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP)
Proven experience in Data Center Extension and hybrid cloud architecture desig n
Experience and knowledge working in SAFe (Scaled Agile Framework)
Jira and Jira Align experience ; Epic conditioning , c apacity planning, sprint progress , program and team dependency and risk tracking and program status reporting
Ability to understand technical requirements of projects and effectively manage resources , vendors and test efforts
Proven track record of leading and executing on critical business initiatives on-time and within budget
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).

SmartExplore AI is experimental.

Recommended

Apply Directly

Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

SmartExplore AI is experimental.

Recommended

Apply Directly

VP, Cloud Security Architecture

Synchrony Financial

New York, NY 10012

Onsite

Bachelor's degree in computer science, engineering, or related field (or equivalent practical experience); OR in lieu of a degree, 12+ years of experience in related field
4+ years of dedicated, hands-on experience designing, implementing, and securing large-scale production solutions on Amazon Web Services (AWS), Azure, or Google Cloud
Proven expertise in supporting on-premises to cloud migration efforts, specifically securing the data transfer and hybrid connectivity phases
Deep practical mastery of core AWS security services (IAM, KMS, VPC, Security Hub)
High proficiency with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation for security automation
Experience operating within a highly regulated industry (e.g., Financial Services) with practical knowledge of compliance frameworks such as PCI DSS, GDPR, or SOC 2
Ability and flexibility to travel for business as required
Legal authorization to work in the U.S. is required
You must be 18 years or older
You must have a high school diploma or equivalent
You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act
New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations)
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status

SmartExplore AI is experimental.

ResumeLibrary