
Agoda Software Engineer Intern
Agoda
Internship
Eligibility: 2025,2026, 2027 Passout
Experience: 0-1 year
Stipend: ₹25K - ₹33K/month
Location: Gurgaon
Posted: 20 Nov 2025
Eligibility: 2025,2026, 2027 Passout
Experience: 0-1 year
Stipend: ₹25K - ₹33K/month
Location: Gurgaon
Posted: 20 Nov 2025
This opportunity is hosted on an external platform. We only share the information and are not responsible for any issues or outcomes.
About this Internship
What You’ll Get to Do
- Code Like a Pro: Contribute to a high-quality codebase and work on scalable, fault-tolerant systems and APIs that handle millions of requests. Your code will be part of something big!
- Play with Cool Tech: Use cutting-edge languages like Scala, Kotlin, ReactJS, and C#, and dive into data technologies like Kafka and Spark — all while embracing agile development practices.
- Be a CI/CD Rockstar: Implement state-of-the-art CI/CD and testing techniques to ensure smooth operations and zero downtime.
- Gain real-world exposure to advanced AI tools and frameworks, work on innovative projects, and turn your ideas into impactful prototypes that push the boundaries of AI.
- Think Big Picture: Get involved across the entire product lifecycle — from defining requirements and choosing technology to coding standards, testing, deployment, and monitoring.
What You’ll Need to Succeed
- Currently pursuing a Bachelor’s or Master’s Degree in Computer Science or a related field.
- Familiarity with the fundamentals of Object-Oriented and/or Functional Programming.
- Understanding of relational and/or non-relational databases.
- Strong English communication skills.
- Ability to learn quickly and adapt to new challenges.
- Availability to join the internship program for at least 5 months (minimum).
Bonus Points If You Have
- Hands-on experience with Scala, Kotlin, Java, JavaScript, ReactJS, or C#.
- Exposure to AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn, or completion of AI/ML-related coursework or projects.
- Experience in developing back-end applications and services with an understanding of system scaling fundamentals.
- Knowledge of data platforms like MS SQL, Cassandra, or Hadoop, and awareness of selecting the right tool for different application needs.