848 Cloud Infrastructure Engineer jobs in North Bergen,NJ

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Power Generator Technician

Genserve - Plainview, NY

Power Generator Technician

~ 53 min Onsite

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Senior Vice President, Infrastructure Engineer

BNY

New York, NY 10007

Urgently Hiring

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IT Infrastructure Architect, Staff

Curtiss-Wright

Parsippany, NJ 07054

RemotePaid Time OffRetirement Benefit

5-12 years of experience in infrastructure, systems engineering, or related roles
Broad experience in enterprise IT environments (not limited to a single system or tool)
Exposure to core infrastructure areas such as: Identity and access management (e.g., Active Directory or similar)
Server environments (Windows and/or Linux)
Application or platform support
Experience participating in system upgrades, migrations, or integrations
Demonstrated ability to learn and adapt to new technologies quickly
Strong communication and interpersonal skills
Proven ability to produce clear documentation with attention to detail
Exposure to Microsoft environments (Active Directory, Windows Server, SQL Server, Exchange) preferred
Experience with virtualization (e.g., VMware) preferred
Familiarity with cloud platforms (e.g., Azure) preferred
Exposure to CMDB or service management tools preferred
Experience working alongside ERP or business systems teams preferred
Any experience with platform ownership or application support preferred

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Infrastructure/Backend Engineer - Crypto

Career Renew

New York, NY 10025

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Senior Software Engineer - Build Tooling Infrastructure

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$141,900-$190,300/yr

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Senior Security Engineer, Infrastructure & Network Security

Metropolis

New York, NY 10025

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Senior Network, Security & AWS Cloud Engineer

Sumitomo Mitsui Trust Bank, Limited

New York, NY 10020

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Manager, SAP S4 Public Cloud Professional Services Automation (PSA)

KPMG

New York, NY 10001

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 20 min 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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