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Embedded Software Engineer

New York,NY

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826 Embedded Software Engineer jobs in New York,NY

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Director, Software Engineering (Electronic Trading)

Fidelity Investments

North Bergen, NJ 07047

~ 18 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent.
  • 15+ years of hands-on software design and development experience in the electronic trading domain.
  • 5+ years of technical leadership, managing a team, and mentoring software developers
  • Experience in building **algorithmic trading** systems for **equities and options**
  • Experience with**equities and options market data**
  • Expertise in **C/C++** , **Python** , and **Linux**.
  • Deep experience with **low latency messaging systems** (e.g., 29West/Ultra-Messaging, Kafka).
  • Proficiency in **KDB+** or other time-series databases.
  • Strong background in building **scalable** , **distributed** , **asynchronous** , and **event-driven** applications.
  • Advanced knowledge of **low latency design patterns** and **performance optimization** techniques.
  • Experience in **Capital Markets** or **Brokerage systems** , especially **order management**.
  • Solid understanding of the **FIX protocol** and FIX engines.
  • Experience with **CI/CD tools** such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
  • Experience with deploying applications and services in **AWS**
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Software Engineer - Hybrid NYC

BrainTrust

New York, NY 10007

New, Posted 9 hours ago
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Sr Software Engineer

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$141,900-$190,300/yr
New, Posted 1 day ago
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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

  • 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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