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Aws Solutions Architect

Bayonne,NJ

942 Aws Solutions Architect jobs in Bayonne,NJ

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Power Generator Tech - Weekly Pay, Gauranteed 40 Hours

Genserve - Plainview, NY

Genserve - Plainview, NY

Power Generator Tech - Weekly Pay, Gauranteed 40 Hours
$10,000 bonus
~ 60 min OnsiteRetirement Benefit
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Telephony & Contact Center Solutions Architect

MJHS

New York, NY 10040

Onsite

  • High School diploma or equivalent.
  • Minimum of four years of experience in designing, implementation, and supporting VoIP telephony infrastructure and contact center solutions.
  • Solid understanding of VoIP fundamentals and the network principles that support them.
  • Video surveillance platforms (e.g., OpenEye).
  • Access control systems (e.g., Brivo).
  • AV conference room systems and control technologies.
  • Ability to work independently with minimal supervision.
  • Ability to manage multiple priorities in an operational environment.
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New, Posted 19 hours ago
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Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

New, Posted 1 day ago
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Director, Google Cloud Security, Solution Architect

KPMG

New York, NY 10025

  • Minimum eight years of recent experience in security architecture
  • At least four years of hands-on experience designing and implementing security solutions on Google Cloud Platform
  • Bachelor's degree from an accredited college/university or a minimum of ten years of equivalent experience
  • Google Cloud Professional Cloud Security Engineer, Professional Cloud Architect, or other relevant Google Cloud certifications are highly preferred
  • Certifications like CISSP are a plus
  • Deep technical expertise in Google Cloud security services, including core Google Cloud Platform services, Google SecOps SIEM/SOAR, Security Command Center, and other native security controls
  • Hands-on experience with Google AI technologies such as Vertex AI and Gemini Enterprise, and their integration with enterprise security solutions
  • Exceptional client-facing and presentation skills with a demonstrated ability to lead technical sales discussions, build client relationships, and align solutions with business needs
  • Experience in collaborating with cross-functional teams such as system administrators, data scientists, architects, and cybersecurity engineers to customize solutions
  • Ability and willingness to travel as needed for client support
  • 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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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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New, Posted 8 hours ago
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Sr. Software Development Engineer, Amazon Quick

Amazon.com Services LLC

New York, NY 10261

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team
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New, Posted 4 hours ago
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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

  • Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
  • Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
  • Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
  • Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
  • Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
  • Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
  • Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
  • Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
  • Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
  • Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
  • Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
  • In-office position preferably based in New York City
  • Travel as required for partner engagements, executive meetings, and industry events
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Chief Systems Engineer

L3 Harris

Clifton, NJ 07011

~ 33 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree with a minimum of 12 years of prior related experience.
  • Graduate Degree with a minimum of 10 years of prior related experience.
  • In lieu of a degree, minimum of 16 years of prior related experience.
  • 2 years of experience in Cameo and SysML v1
  • 3 years experience with Agile development and using JIRA
  • Active Secret Security Clearance- Ability to obtain and maintain any additional clearances as required.
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Account Executive, Business Sales - Long Island, Queens

T-Mobile

New York, NY 10279

OnsiteUrgently HiringChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • High School Diploma/GED (Required)
  • 1+ years verifiable new customer acquisition sales experience, preferably within a commissioned environment (Preferred)
  • Outside B2B sales experience. (Preferred)
  • Task Management Ability to work well in a dynamic, fast changing environment that requires a high degree of multi-tasking (Required)
  • Customer Service Demonstrated experience delivering superior customer service and attention to detail (Required)
  • Communication Excellent interpersonal, written, and oral communication skills (Required)
  • Negotiation Effective negotiating and closing skills, including communication, emotional intelligence, and problem-solving. (Required)
  • At least 18 years of age
  • Legally authorized to work in the United States
  • Travel Required (Yes/No): Yes
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HyCO Production and Low-Carbon Technology Engineer

Matheson Tri-Gas

Warren, NJ 07059

$70,000-$120,000/yr
~ 36 min Onsite

  • Master's Degree in chemical engineering or bachelor's degree complemented with adequate expertise
  • Minimum 5 years'experience in industrial gas processes which includes direct engineeringexperience (developing HMBs, PFDs, P&IDs;, equipment sizing/specification)
  • Hydrogen, carbon monoxide, and syngas expertise
  • Technology identification, assessment, and mapping capabilities
  • Basic understanding of equipment design
  • Able to understand cross-impact between conceptual design, plant design and operations
  • High-level writing proficiency for formal and informal communications and documents including technical papers, assessments, funding, and grant application drafting, supporting technology sourcing and licensing agreement drafting and technical proposal writing
  • Candidate must beauthorized to work in the USA
  • Travel willing up to 25% and to flex work hours to ensure coverage of critical timelines
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