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Software Engineer React Web Focused

New York,NY

1073 Software Engineer React Web Focused jobs in New York,NY

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Testing and Automation Engineer

Subway Restaurants

Georgetown, CT 06829

$102,700-$128,400/yr
~ 1 hr 10 min OnsiteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

  • 3–6 years of experience in software testing, quality engineering, or automation roles
  • Experience in software testing and test automation practices
  • Proficiency with automation tools and frameworks (e.g., Selenium, Cypress, Playwright, REST-assured, Postman, or similar)
  • Hands-on experience with performance engineering tools (e.g., JMeter, Gatling, k6, Locust, or equivalent) required
  • Experience with AI-assisted testing tools and practices required
  • Ability to read, write, or debug basic test code or scripts (e.g., Java, JavaScript, Python, C#)
  • Understanding of REST APIs and service-based architectures
  • Familiarity with CI/CD pipelines and automated testing concepts
  • Bachelor's degree preferred in Computer Science, Engineering, Information Systems, or a related field. Equivalent practical experience considered.
  • The Company is only considering applicants who are currently authorized to work in the country the position is based.
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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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Head of Engineering for Wealth Management

MassMutual

New York, NY 10012

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.
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