Student Software Engineer — Hybrid Internship (CTV Platform)

Magnite; Belfast City District; Hybrid; GBP 18,000 - 24,000; Full time

Benefits offered by this job

Holiday Breaks and Quarterly Wellness 

Private Medical Insurance

Competitive Pension Plan

Disability and Life Insurance

Mobile Phone Subsidy

Fitness and Wellness Reimbursement

Job summary

Magnite is seeking a Software Engineer student on placement in Belfast. You will work on our world-class platform across modern technologies and gain hands-on experience in software development, QA, automation, and deployment.

As a STEM student, you will collaborate with engineers and mentors, contribute to real code used by millions, and learn best practices in scalable, privacy-conscious ad tech within a hybrid schedule (Tue-Thu in office, Mon/Fri remote).

Qualifications

• Studying in a STEM-related degree and keen to develop software skills.
• Desire to excel in programming and learn new technologies.
• Self-driven with ability to continue learning and adapt.
• Experience with functional or OO programming and SQL.
• Passionate and curious about modern tech and methodologies.
• Understanding of software development practices.

Responsibilities

• Assist in development of Magnite's platform across stack.
• Contribute to software quality, automation, and deployment.
• Collaborate with engineers and mentors on real projects.
• Learn from experienced engineers and apply new approaches.

Skills

STEM programming passion

Self-driven learner

OO/functional programming

SQL experience

Curious about new tech

Software methodologies understanding

Education

STEM-related degree

Tools

Java

Rust

Scala

JavaScript

Python

PySpark

C++

SQL

Cassandra

Druid

Hadoop

Kafka

Job description

Magnite is seeking a Software Engineer student on placement in Belfast. You will work on our world-class platform across modern technologies and gain hands-on experience in software development, QA, automation, and deployment.

As a STEM student, you will collaborate with engineers and mentors, contribute to real code used by millions, and learn best practices in scalable, privacy-conscious ad tech within a hybrid schedule (Tue-Thu in office, Mon/Fri remote).