6 дней назад
Engineer, Software (Fullstack)
185 000 - 245 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineer, Software (Fullstack): Building end-to-end analytics applications that integrate responsive interfaces, scalable backend services, data pipelines, and machine learning outputs with an accent on React, Python, cloud technologies, and data visualization. Focus on designing performant and secure applications, integrating ML insights, and guiding contractors and interns through technical delivery.
Location: New York, New York
Salary: $185,000–$245,000 base compensation annually
Company
operates warehouses and business parks focused on last-mile logistics real estate, using proprietary data, analytics, and sustainability initiatives across its portfolio.
What you will do
- Develop end-to-end full-stack applications delivering analytics and machine learning insights to internal stakeholders.
- Build responsive interfaces with React, Angular, TypeScript, HTML, and CSS.
- Design scalable backend services and RESTful APIs using Python or Node.js.
- Integrate applications with data pipelines, ML models, visualization components, and distributed processing systems.
- Build performant, secure, and scalable applications across cloud environments, with Azure preferred.
- Guide contractors and interns through technical planning, code reviews, and delivery.
Requirements
- 10+ years of experience in full-stack application development.
- Strong proficiency in JavaScript or TypeScript, HTML/CSS, and responsive design.
- Experience building and integrating backend services and APIs.
- Familiarity with AI-assisted coding tools and modern development workflows.
- Exposure to cloud platforms and CI/CD practices; Azure experience is preferred.
- Strong problem-solving, collaboration, and written and verbal communication skills.
Nice to have
- Experience with D3, Plotly, or similar data visualization libraries.
- Knowledge of Docker and Kubernetes.
- Understanding of ML concepts and experience working with data science outputs.
- Experience mentoring junior developers or managing contractors.
Culture & Benefits
- Health insurance coverage.
- Retirement savings plan.
- Paid holidays and paid time off.
- Work closely with product managers, data scientists, business leaders, contractors, and interns.
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