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Enterprise Security Engineer

New York,NY

434 Enterprise Security Engineer jobs in New York,NY

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Senior Vice President, Infrastructure Engineer

BNY

New York, NY 10007

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Lead Engineer

Lockheed Martin

Uniondale, NY 11553

~ 42 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree from an accredited college in a related discipline such as Engineering, Computer Science, Mathematics or Physics
  • At least 5 years of professional experience
  • Applicable technical experience on model-based systems engineering (MBSE) projects
  • Ability to work collaboratively on an Agile team with both local and geographically distributed teammates including subcontractors, technical agents, and customers
  • Excellent demonstrated interpersonal and time management skillsets
  • Must be a US citizen; this position will require a government security clearance
  • Clearance Level: Secret
  • Experience Level: Experienced Professional
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Software Engineer II - Ad Platform, Integrating Engineering

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

New, Posted 1 hour ago
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Enterprise Sales Representative

Spectrum

New York, NY 10010

Onsite

  • High School diploma or equivalent
  • 3+ years of business-to-business quota-bearing sales or equivalent sales experience
  • Ability to read, write, speak and understand English
  • Demonstrated networking, negotiation and closing skills
  • This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future
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Enterprise Sales

Securitas Technology

Elmsford, NY 10523

~ 35 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Must have security integration experience
  • Bachelor's degree in business or technical field of study
  • 5 years' related combination of experience and education in lieu of degree
  • Strong computer skills, including but not limited to Microsoft Office, Excel and Salesforce
  • Strong interpersonal and communication skills
  • Ability to handle multiple priorities and manage time in a deadline-driven environment
  • Ability to work in a team environment
  • Excellent verbal and written communication
  • Detailed oriented
  • Strong organization skills
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Director, SAP Enterprise Architect - Supply Chain

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • Minimum eight years of end-to-end SAP implementation experience with a strong background architecting seamless integration across the entire value chain—from initial sales order capture and pricing (SD/OTC), through manufacturing execution and capacity planning (PP), to final inspection and release (QM).
  • Experience in Private Equity space; M&A; transactions (buy-side, sell-side, carve-outs) preferred.
  • Bachelor's degree in Supply Chain, Operations Analysis, Engineering, or a related field from an accredited college/university
  • Act as the primary liaison between business leaders and IT execution teams, translating complex business requirements into robust SAP architectural designs.
  • Established relationship with the SAP product team to influence product development and roadmap to help clients build long-term strategies; strong product knowledge in SAP Supply Chain fulfillment solutions and the ability to architect, configure, and analyze system capabilities.
  • Strong leadership skills, technical knowledge, and the ability to write at a publication quality level in order to communicate findings and recommendations to the client's senior management team
  • Experience with SAP Public Cloud (GROW), strong knowledge of Agentic AI and SAP Business AI preferred
  • Travel as needed
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
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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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Director, SAP Enterprise Architect - Finance

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • Minimum eight years of recent SAP applications related work, including at least one full lifecycle SAP FICO implementation
  • Bachelor's degree from an accredited college/university in an appropriate field
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
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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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Senior Machine Learning Engineer - Disney Streaming

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr

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