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Google Cloud Platform Engineer

New York,NY

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3603 Google Cloud Platform Engineer jobs in New York,NY

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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).
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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
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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
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Site Reliability Engineer, CI/CD & Load Testing (US-Remote)

BrainTrust

New York, NY 10001

Remote
New, Posted 12 hours ago
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Engineering Manager, Customer Data Platform — Remote

Constant-Contact

New York, NY 10025

$140,000-$175,000/yr
Remote
New, Posted 1 day ago
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AI Engineer

Capital One

New York, NY 10001

New, Posted 16 hours ago
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Software Engineer II - Manifest Delivery

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$120,300-$161,300/yr
New, Posted 1 day ago
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Lead Machine Learning Engineer

Disney Entertainment Television Careers

New York, NY 10025

$179,700-$225,000/yr
New, Posted 1 day ago
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Head of Technology, Intelligence Ventures

Spectrum Careers

New York, NY 10025

New, Posted 4 hours ago
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Lead AI Engineer

Capital One

New York, NY 10001

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