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2025 Software Engineering Intern

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Confluent

Sep 18

  • Internship
    Full-time
    Summer Internship
  • Software Engineering
    Engineering
  • Toronto
  • Quick Apply

AI generated summary

  • You should be pursuing a relevant degree, skilled in data structures and algorithms, proficient in a programming language, and excited about working in distributed cloud systems.
  • You will design, develop, test, and maintain software, participate in code reviews, manage project priorities, and contribute to advancing distributed system design for Kafka.

Requirements

  • Pursuing a Bachelor’s or Master’s in Computer Science, Math, or a related technical field with a graduation date between December 2025- August 2026
  • Self-motivated and able to drive projects with mentorship and project requirements
  • Ability to work effectively in teams and strong verbal and written communication skills
  • Good knowledge of data structures and algorithms and are proficient in at least one of these languages: Java/Scala, C, C++, Go
  • Smart, humble, and empathetic
  • Driven and excited about the challenges of a fast-paced, innovative, and quickly growing software development environment
  • Interested in building large-scale distributed systems in the cloud and are excited to make an impact

Responsibilities

  • To design, develop, test, deploy, maintain, and improve software that will touch production and have a customer-facing impact.
  • Follow best practices for software development and participate in code reviews.
  • Manage project priorities, deadlines, and deliverables.
  • Help build the next generation Kafka by continuing to push the boundaries of distributed system design.

FAQs

What type of internship is this?

This is a hybrid internship in the field of software engineering, specifically focused on data streaming technology.

Where will the internship be located?

The internship will be based in Toronto, Canada.

What is the expected graduation date for applicants?

Applicants should be pursuing a Bachelor’s or Master’s degree with a graduation date between December 2025 and August 2026.

What are the working conditions for the internship?

Interns will work in a hybrid model, collaborating in the office two days a week and working from home three days a week.

What are the primary responsibilities of the intern?

Interns will design, develop, test, deploy, maintain, and improve software, follow best practices for software development, participate in code reviews, manage project priorities, and help build the next generation of Kafka.

What programming languages are preferred for this position?

Proficiency in at least one of the following languages is required: Java/Scala, C, C++, or Go.

Is there any stipend or reimbursement provided?

Yes, the internship includes a housing stipend and travel reimbursement for round trip flights or driving mileage.

Will there be opportunities for mentorship?

Yes, the internship is designed to provide mentorship and support for driving projects.

What kind of team culture can interns expect?

Interns can expect to be part of a collaborative team that values diversity, inclusion, and equality, and fosters a supportive and innovative environment.

What is the monthly salary for this internship?

The monthly salary for the internship is $8,667.

Can interns receive a return offer after the internship?

Yes, interns may receive a return offer at the end of the internship, and if extended, they will be based in Toronto.

Technology
Industry
1001-5000
Employees
2014
Founded Year

Mission & Purpose

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Our cloud-native offering is the foundational platform for data in motion, designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organisation. With Confluent, our customers can meet the new business imperative of delivering rich, digital customer experiences and real-time business operations. Our mission is to help every organisation harness data in motion so they can compete and thrive in the modern world.