Why This Job is Featured on The SaaS Jobs
This Software Engineer Co-op stands out in SaaS because it places an early-career engineer directly on a production cloud platform where customer-facing features and platform concerns meet. The description points to a communications product with heavy use of AI/NLP and a modern GCP-based stack, which is representative of how many SaaS companies build differentiated workflows on top of scalable infrastructure.
For a SaaS career, the meaningful angle is the breadth of engineering exposure: backend feature delivery alongside considerations that recur across subscription businesses—reliability, security, cost management, and iterative releases. Working within weekly shipping cycles and established monitoring practices is also a practical introduction to operating software as an ongoing service rather than a one-time deployment, experience that transfers well across SaaS teams.
This role is best suited to a student or recent graduate who wants structured mentorship while still owning tangible pieces of a product. It will fit someone who learns by building, is comfortable navigating existing systems, and is motivated by collaborative problem-solving across services, data stores, and deployment tooling in an in-office Canadian setting.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Co-op Program
Are you a motivated student eager to gain real-world experience in software engineering? Join our Co-op Software Engineer Program in Canada, where you'll have the opportunity to work alongside seasoned professionals on impactful projects. This program is designed to provide hands-on experience, mentorship, and the chance to contribute to cutting-edge solutions. This is your opportunity if you're passionate about technology, collaborative problem-solving, and expanding your skills.
Every engineer on our global Engineering team is given the opportunity to take ownership of a large portion of the product, where they’re able to see immediate results. Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work—enabling companies to work from anywhere and making business communication more human.
The start date for the Program is January 2026, and it is a full-time, hybrid position.
This position is based in our Vancouver or Kitchener, Canada office. You will work with a local mentor who will help you learn Dialpad’s technologies and processes and support you in achieving your internship goals.
What you’ll do
- Build customer-impacting functionality into Dialpad’s backend services.
- Design and implement robust, reusable, and scalable backends through collaboration with a close-knit team.
- Your impactful work will help improve: Dialpad’s customer experience, infrastructure scalability, security, and costs.
About you
- Currently enrolled in a university program (3rd year+) or recently graduated in Computer Science, Computer Engineering, or a related field of study.
- Minimum of 8 months of hands-on experience in software development.
- Available to work full-time (40 hours per week), Monday to Friday, 9 AM to 5 PM.
- Familiarity/experience with Python, Java, C++, or similar programming languages.
- Familiarity with SQL or NoSQL databases, including how to query and interact with databases.
- A solid understanding of data structures, algorithms, and software design.
- Skilled in writing clean, reusable code using object-oriented design principles.
- Ability to debug code and write unit tests.
- Basic knowledge of version control systems to collaborate on projects and track changes. Experience with Git is a plus.
- Launch new code weekly with our fast release cycles.
- Experience working with containerization and orchestration in the cloud is a plus.
Our Tech Stack:
Python backend on Google Cloud Platform (AppEngine, Datastore, BigQuery, Dataflow, Spanner, Memcache, Cloud Tasks, Pub/Sub), Redis, Elastic Search, Pinot.
Monitoring: Datadog, Grafana, Vue.js/Vuex frontend running natively in Electron.
