Intern - Software Engineering

Reposted 7 Days Ago
18 Locations
In-Office
Internship
Aerospace • Big Data • Fintech • Software • Analytics
The Role
As a Software Engineering Intern, you will collaborate on full-stack development, work on backend and frontend technologies, and contribute to innovative AI/ML projects.
Summary Generated by Built In

WHY JOIN US?

  • We practice a vibrant & energetic office culture.

  • We provide opportunities for career advancement within the company.

  • Good performance is always rewarded accordingly.

It's our people that make Astro Malaysia’s leading entertainment company. We are an inclusive employer, to enable everyone at Astro to be their best. We embrace differences – we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products/services and our community. We also understand and appreciate that diversity is a driver of creativity and innovation, which will make our business more competitive, compelling and profitable.

JOB RESPONSIBILITIES:

Responsibilities:  
Collaboration: Effectively communicate and collaborate with cross-functional teams to ensure alignment and smooth project execution.  
Full-Stack Development: Participate in the entire software development lifecycle, from initial design to deployment and maintenance.  
Backend Development: Build robust and scalable backend services using cutting-edge technologies like Node.js and serverless architectures. 
Frontend Development: Design, develop, and maintain responsive and accessible frontend applications using modern technologies like React, TypeScript, and Next.js. 
Performance Optimization: Optimize backend code and infrastructure to ensure optimal performance and scalability. 
Innovation: Proactively identify opportunities for improvement and contribute innovative ideas to enhance system performance and user experience. 
Agile Development: Actively participate in Agile ceremonies (e.g., daily stand-ups, sprint planning, retrospectives) to foster a collaborative and efficient development process. 
AI and Machine Learning: Research, explore and implement AI and ML techniques to enhance product features and user experiences. 
 

REQUIREMENTS:

Qualifications:  
Technical Skills: Basic proficiency in any basic programming language and eager to learn new stacks such as Node.js, serverless architectures, and cloud platforms (e.g., AWS, GCP, Azure).  
Frontend Knowledge: Basic knowledge of front-end technologies (e.g., React, Angular, Vue.js) is a plus.  
Problem-Solving: Excellent problem-solving and analytical skills to tackle complex technical challenges.  
Collaboration: The trainee will develop strong communication and interpersonal skills to work effectively with diverse teams. 
Continuous Learning: A passion for learning new technologies and staying up to date with industry trends.  
Agile Mindset: The trainee will experience the Agile methodologies (e.g., Scrum, Kanban) and a collaborative approach to development.  
AI and Machine Learning: The trainee will have the chance to develop knowledge of AI/machine learning (AGI, ASI, GenAI & etc.), the frameworks (TensorFlow, PyTorch) while working with our real projects.

Top Skills

AWS
Azure
GCP
Next.Js
Node.js
PyTorch
React
Serverless Architectures
TensorFlow
Typescript
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The Company
HQ: Norwalk, CT
10,310 Employees
Year Founded: 1978

What We Do

FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions.

For 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 60 offices in 23 countries, we’re all working together toward the goal of creating value for our clients, and we’re proud that 95% of asset managers who use FactSet continue to use FactSet, year after year.

As big as we grow, as far as we reach, and as successful as we become, we stay connected to our clients and to each other.

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