1

Internship Rust Backend Developer Jobs in Toronto, ON

... or Backend Engineering * Strong programming experience in Java, Go, Python, Rust, Scala, or similar languages * Experience designing and operating distributed systems in production * Experience ...

Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C++, Go or Rust * Experience building, maintaining, or reviewing ...

Work in a variety of languages including Rust, Go, Typescript, and Haskell. About you: * Experience ... You have 3+ years of experience working as a backend engineer. * Willingness to take part in an ...

... and back-end development while working alongside experienced engineers. This internship provides an opportunity to develop practical skills in full stack development and AI-assisted software ...

Product Engineer

Toronto, ON · Remote

CA$140K - CA$180K/yr

Identify opportunities to enhance performance, reliability, and developer velocity * Operate with a ... Experience building modern backend systems using Python, Go, Rust, or similar languages, including ...

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

Internship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development * Proficiency in Python and familiarity with libraries or frameworks such as ...

Software Developer

Toronto, ON · On-site

CA$97K - CA$100K/yr

Backend: Node.js, TypeScript, PHP, Java * Frontend: Angular, Vue.js, React * Databases: MySQL ... Experience mentoring junior developers or interns. Perks: * Generous wellness program * Best-in-the ...

Paid via government-supported internship grants Pathway : Long-term internship extension or ... Develop backend services, APIs, and data pipelines * Contribute to operator-facing dashboards and ...

Experience with full stack and API development across both frontend and backend layers. * Proficiency in one or more of the following programming languages: Rust, C#, and JavaScript. * Proficient ...

... backend pipelines, API design, and vehicle-side serving. - Be part of a multidisciplinary team of ... or Rust. - Solid experience in designing, developing, and deploying production-quality, fault ...

next page

Showing results 1-20

Internship Rust Backend Developer information

What is the difference between Internship Rust Backend Developer vs Junior Rust Backend Developer?

AspectInternship Rust Backend DeveloperJunior Rust Backend Developer
Required CredentialsLimited or no professional experience, often pursuing relevant educationSome experience or coursework completed, basic understanding of Rust
Work EnvironmentInternship programs, entry-level projects, mentorship-focusedFull or part-time employment, independent project work
Employer & Industry UsageTech startups, software companies, internships in industryTech companies, software development teams, entry-level roles

The main difference between an Internship Rust Backend Developer and a Junior Rust Backend Developer is experience level. Internships are designed for students or beginners gaining initial exposure, often with mentorship, while Junior roles require some prior knowledge and involve more independent work. Both positions are common in tech industries focused on Rust backend development, but internships serve as a stepping stone to full-time roles.

What does an Internship Rust Backend Developer do?

An Internship Rust Backend Developer assists in designing, developing, and maintaining server-side applications using the Rust programming language. Their responsibilities often include writing efficient code, debugging backend systems, integrating with databases, and collaborating with senior developers to build scalable and secure services. Interns typically work on real-life projects to gain hands-on experience with Rust, learn industry best practices, and improve their programming skills in a professional environment.

What are the key skills and qualifications needed to thrive as an Internship Rust Backend Developer, and why are they important?

To thrive as an Internship Rust Backend Developer, you need a solid understanding of programming fundamentals, familiarity with Rust’s syntax, and basic knowledge of backend development concepts. Experience using version control systems like Git, exposure to RESTful APIs, and familiarity with build tools and databases are typically required. Strong problem-solving ability, eagerness to learn, and effective communication skills help interns collaborate and adapt quickly. These skills are essential for contributing to real-world projects, ensuring code quality, and integrating smoothly within development teams.

What are some common challenges faced by Rust Backend Developer interns, and how can they be addressed?

As a Rust Backend Developer intern, you may encounter challenges such as understanding Rust's unique ownership model, memory safety concepts, and adapting to its strict compiler checks. Additionally, integrating with existing backend systems or microservices, which may be written in other languages, can require extra effort. Collaborating effectively with senior developers and participating in code reviews will help you learn best practices and overcome these hurdles. Regularly seeking feedback, utilizing Rust’s extensive documentation, and participating in team stand-ups are excellent ways to accelerate your learning and contribute meaningfully to the team.
What are the most commonly searched types of Rust Backend Developer jobs in Toronto, ON? The most popular types of Rust Backend Developer jobs in Toronto, ON are:

Other

Re-posted 5 days ago


Job description

Senior Data Platform EngineerWhy Kaseya?

Kaseya powers millions of endpoints and thousands of customers worldwide. We are building the next generation of data platforms that power analytics, automation, AI, and customer-facing experiences across our products.

We're looking for engineers who enjoy solving distributed systems problems, building scalable platforms, and operating high-volume data infrastructure in production.


What You'll Do

This is not a traditional ETL-focused role.

You will build and operate the data platform that enables analytics, automation, AI workloads, and operational systems across Kaseya.

You will:

  • Design and build real-time and batch data processing systems
  • Develop event-driven data pipelines using streaming technologies
  • Build scalable ingestion, transformation, enrichment, and delivery services
  • Design data platform components that support millions of events and large-scale analytical workloads
  • Improve reliability, observability, monitoring, and operational excellence across data systems
  • Participate in architecture reviews and technical design discussions
  • Own production systems, incident response, and operational improvements
  • Work closely with Product, Infrastructure, Analytics, and Engineering teams
  • Mentor engineers and contribute to engineering standards and best practices

What We're Looking ForRequired
  • 6+ years of experience in Software Engineering, Data Engineering, Platform Engineering, or Backend Engineering
  • Strong programming experience in Java, Go, Python, Rust, Scala, or similar languages
  • Experience designing and operating distributed systems in production
  • Experience building and supporting streaming or real-time data platforms
  • Experience with Kafka, Flink, Spark Streaming, Kinesis, Event Hubs, or similar technologies
  • Experience operating cloud-native systems on AWS, Azure, or GCP
  • Experience troubleshooting production issues and supporting critical systems
Strongly Preferred
  • Experience designing event-driven architectures
  • Experience with CDC, event sourcing, or asynchronous processing patterns
  • Experience building low-latency data systems
  • Experience with infrastructure-as-code (Terraform, CloudFormation, Pulumi)
  • Experience implementing CI/CD pipelines and deployment automation
  • Experience with observability, monitoring, alerting, and reliability engineering
  • Experience designing platform-level frameworks used by multiple teams
  • Experience with data lakehouse platforms, Snowflake, Databricks, or large-scale analytical systems
Bonus
  • Experience supporting machine learning, AI, or LLM workloads
  • Experience with vector databases, RAG systems, or AI infrastructure
  • Experience mentoring engineers or leading technical initiatives

Salary 170 - 250