2143 Software Engineer Software Engineer jobs in New York,NY

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.
Experienced with using **GenAI developer assist tools** (e.g. GitHub Copilot).
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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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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Human Resources Technology Data Engineer

LHH US

New York, NY 10022

$85-$100/hr

HybridHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field.
5-8 years of professional software engineering experience.
Proven track record of hands on development in enterprise scale systems, preferably in HR.
Strong proficiency in at least one core programming language (Python or Java).
Deep experience with relational databases, NoSQL stores, and complex query design.
Experience working with HR, people operations, or workforce analytics data, including sensitive data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data exchange patterns.
Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent management workflows.

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Senior Test Engineering Technician - AI Data Center Systems (Servers & GPUs)

Advanced Micro Devices

Secaucus, NJ 07094

~ 18 min Onsite

Ability to lift up to 35 pounds, safely climb ladders, wear personal protective and ESD gear correctly, and stand and walk throughout the facility for extended periods without loss or reduction of productivity.
CompTIA A+ or equivalent experience.
CompTIA Server+ or equivalent experience.
Windows OS experience.

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DiversityJobs

Senior Firmware Engineer

CIENA

New Providence, NJ 07974

Flexible Schedule

Head of Engineering for Wealth Management

MassMutual

New York, NY 10025

Onsite

15+ years of progressive technology leadership experience, including leadership of large-scale software engineering organizations.
Experience leading organizations of 75+ engineers across multiple disciplines and geographic locations.
Proven track record modernizing enterprise platforms through cloud-native architectures, microservices, APIs, and event-driven systems.
Deep experience delivering customer-facing platforms in wealth management, capital markets, banking, fintech, retirement, or financial services.
Demonstrated success partnering with executive stakeholders to align technology investments with business outcomes.
Experience managing large-scale digital transformation initiatives with measurable business impact.
Must have Series 99 or ability to obtain it within 6 months.

SmartExplore AI is experimental.