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Full Stack Software Engineer

PublishedPublished: 6/14/2022
Technology

Job Description

Job Description

Location: Monroe, NY (Orange County) — Onsite 5 days/week

Title: Software Engineer

Salary: up to $170k plus benefits (paid in full by the employer), PTO, Bonus, etc (Based on Experience)

Industry: Media & Technology

We’re seeking an experienced Full Stack Software Engineer to design, develop, test, and maintain scalable web applications across front-end and back-end environments.

Key Responsibilities

  • Design and develop full-stack applications, APIs, and web services.
  • Build responsive user interfaces and scalable back-end services.
  • Develop business logic and database solutions.
  • Collaborate with Product, QA, DevOps, and Engineering teams.
  • Participate in technical design, code reviews, testing, troubleshooting, and performance optimization.
  • Integrate third-party services/APIs and support CI/CD and automated testing.
  • Evaluate emerging technologies to improve scalability, security, and reliability.


Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
  • 7+ years of professional software development experience.
  • Strong JavaScript/TypeScript experience with React, Angular, or Vue.js.
  • Back-end experience with Node.js, .NET/C#, Java, Python, or similar.
  • Experience developing RESTful APIs and web services.
  • Strong SQL/database skills with SQL Server, PostgreSQL, MySQL, or similar.
  • Experience with Git, CI/CD, cloud platforms, and modern development methodologies.
  • Strong understanding of security, performance, scalability, and responsive design.

Preferred Qualifications

  • Experience with AWS, Azure, or GCP
  • Experience with Docker, Kubernetes, microservices, or event-driven architectures
  • Experience with automated testing and Agile/Scrum
  • Proven experience integrating AI/LLM capabilities into business or consumer applications
  • Hands-on experience with OpenAI, LangChain, vector databases, TensorFlow, PyTorch, or scikit-learn


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