Onsite Full-Stack Engineer: Build Scalable Systems

SID Global

Exton (PA)

On-site

USD 95,000 - 145,000

Full time

14 days+
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Job summary

SID Global is seeking a Full Stack Developer to join our Exton, PA onsite team. You will collaborate with design and product teams to develop features, prototypes, and scalable backend services.

You will own end-to-end implementation, write testable code, and ensure robust deployments. The ideal candidate has 4+ years of full stack experience with Java, TypeScript, and React, plus hands-on AWS (Lambda, ECS) and Python with Pandas/NumPy.

Qualifications

  • Bachelor's degree in computer science, software engineering, or related field.
  • Proficiency in Java, TypeScript and React.
  • 4+ years of full stack development (frontend and backend).
  • Experience with AWS (Lambda, ECS, etc.).
  • Experience with Python with Pandas and NumPy.
  • Experience designing or architecting scalable systems and design patterns.
  • Familiarity with full software development lifecycle, testing, and operations.

Responsibilities

  • Collaborate with design and product teams to define features and create prototypes.
  • Build secure, reliable features delivering strong customer experiences.
  • Integrate information across multiple services and systems.
  • Write clean, testable code with unit tests, logs, and metrics.
  • Troubleshoot and resolve production issues and bugs.
  • Take ownership of tasks and communicate progress to stakeholders.

Skills

Java
TypeScript
React
Communication
Problem-solving

Education

Bachelor's degree in computer science or Software Engineering

Tools

AWS
Python
Pandas
NumPy

Job description

SID Global is seeking a Full Stack Developer to join our Exton, PA onsite team. You will collaborate with design and product teams to develop features, prototypes, and scalable backend services.

You will own end-to-end implementation, write testable code, and ensure robust deployments. The ideal candidate has 4+ years of full stack experience with Java, TypeScript, and React, plus hands-on AWS (Lambda, ECS) and Python with Pandas/NumPy.

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