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Software Engineer Windows Desktop App

New York,NY

473 Software Engineer Windows Desktop App jobs in New York,NY

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Software Engineer II - Ad Platform, Integrating Engineering

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

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Window Treatment Sales Consultant - $3,000 Sign-On Bonus

3 DAY BLINDS

Westchester, NY 10461

$3,000 bonus
OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Reliable transportation and comfortable traveling locally — your territory is your office
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Sr Software Engineer - AI and Observability

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr
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Project Engineer

Oerlikon Surface Solutions

Westbury, NY 11590

$75,000-$100,000/yr
~ 40 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in materials science or mechanical engineering
  • 3 years job experience in thermal spray or PVD coating technologies
  • Must be proficient in using business and communications software (preferably Word, Excel, PowerPoint, common Windows operating systems, and Outlook)
  • Ability to travel 30% travel may be required
  • Work Location: In person
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IT Infrastructure Architect, Staff

Curtiss-Wright

Parsippany, NJ 07054

RemoteUrgently HiringPaid 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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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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Senior Vice President, Infrastructure Engineer

BNY

New York, NY 10007

Urgently Hiring
ResumeLibrary
Senior CNC Programmer - 5-Axis/Mastercam/VERICUT (US-Remote)

BrainTrust

New York, NY 10001

Remote
iHire
Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols)

Capital One

New York, NY 10001

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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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