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Full Stack Engineer Python React Aws

New York,NY

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1350 Full Stack Engineer Python React Aws jobs in New York,NY

iHire
Machine Learning Engineer

Capital One

New York, NY 10001

New, Posted 4 hours ago
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Senior Product Marketing Manager - Tech, AWS Product Marketing

Amazon

New York, NY 10025

New, Posted 1 day ago
DiversityJobs
Senior Sales Engineer

Lightpath

Parsippany, NJ 07054

$130,000-$145,000/yr
New, Posted 3 hours ago
iHire
Senior Distinguished Engineer, AI Compute (Remote Eligible)

Capital One

New York, NY 10001

Remote
New, Posted 23 hours ago
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DiversityJobs
Cyber Security Engineer

Chobani

New York, NY 10012

New, Posted 1 day ago
DiversityJobs
Senior Firmware Engineer

CIENA

New Providence, NJ 07974

Flexible Schedule
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Technical Customer Support Engineer, Tier 2

UVEye

Teaneck, NJ 07666

~ 20 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of experience in Tier II support, systems administration, or QA engineering
  • Bachelor's degree in Computer Science or a related field
  • Proficiency with Linux, Docker, and Kubernetes
  • Strong troubleshooting skills across hardware and software domains
  • Hands-on experience with hardware setup, installation, and calibration
  • Solid understanding of networking (TCP/IP, HTTP, DNS, DHCP)
  • Experience with cloud platforms like AWS, Azure, or GCP
  • Familiarity with networking equipment (switches, routers, firewalls, load balancers)
  • Comfortable using tools like Zendesk, JIRA, and Confluence
  • Able to work independently and manage multiple priorities under pressure
  • This role may involve on-site or field-based activities
  • The salary range listed is $75,000 - $90,000
SmartExplore AI is experimental.
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New, Posted 11 hours ago
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Technology Test Engineer

LMI Consulting, LLC

New York, NY 10001

New, Posted 1 day ago
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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
SmartExplore AI is experimental.
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New, Posted 12 hours ago
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Front-End Engineer II – Digital Servicing

Synchrony Financial

New York, NY 10012

Remote

  • Bachelor's degree in computer science or related degree and a minimum of 2 years of web application development experience OR, in lieu of degree, High School Diploma/GED 4 years of professional web application development experience
  • Ability and flexibility to travel for business as required
  • 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.
  • 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).
SmartExplore AI is experimental.
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