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Entry Level Python Programmer Jobs in Ontario (NOW HIRING)

Seniority level Entry level Employment type * Employment type Full-time Job function * Job function Engineering and Information Technology * Industries Software Development Referrals increase your ...

Seniority level Entry level Employment type * Employment type Full-time Job function * Job function Engineering and Information Technology * Industries Software Development Referrals increase your ...

Working knowledge in at least one common cloud native programming language (Java, Python, HCL, Rust, Ansible, or language in similar discipline). * Tech savvy: Conversant about cloud technology ...

This is an entry-level to early-career role designed to provide hands-on exposure to Linux systems ... Introductory programming knowledge, including: * Awareness of object oriented programming

Rather than acting as a traditional software engineer, you will utilize modern Generative AI and AI ... Level: Entry-level to early-career (0-2 years of professional experience), backed by a strong ...

... entry-level role. * Awareness of self-service platform concepts, developer enablement, and ... Good knowledge with programming and/or scripting languages (Python, React/TypeScript, NodeJS, Bash)

... entry-level role. * Awareness of self-service platform concepts, developer enablement, and ... Good knowledge with programming and/or scripting languages (Python, React/TypeScript, NodeJS, Bash)

... DEPTH * Entry level role with a focus on providing functional specialized business services ... Proficiency in programing or using analytical tools (R, Python, SQL, VBA, etc.) Who We Are: As part ...

Entry Level Python Programmer information

What does an entry level Python programmer do?

An Entry Level Python Programmer is responsible for writing, testing, and debugging simple Python code under the guidance of more experienced developers. They often assist with basic programming tasks, such as data manipulation, automation scripts, or web development using Python frameworks. Their main goal is to support projects while learning and improving their coding skills on the job. Entry level programmers commonly collaborate with team members, follow coding standards, and help troubleshoot software issues.

What is the difference between Entry Level Python Programmer vs Data Analyst?

AspectEntry Level Python ProgrammerData Analyst
Required SkillsPython, basic programming, scriptingExcel, SQL, data visualization, some Python
CertificationsNone required, but Python certifications helpfulNone required, but data analysis certifications beneficial
Work EnvironmentTech companies, startups, software firmsBusiness, finance, healthcare, consulting
Typical TasksWriting scripts, debugging, automationData collection, cleaning, analysis, reporting

While both roles involve working with data and programming, Entry Level Python Programmers focus on coding and automation using Python, often in tech environments. Data Analysts utilize Python alongside other tools to interpret data and generate insights in various industries. The roles overlap in technical skills but differ in primary responsibilities and industry focus.

What types of projects do entry level Python programmers typically work on, and how do these projects support career development?

Entry level Python programmers often start by working on tasks like writing scripts to automate repetitive processes, assisting with data cleaning for analytics teams, or contributing to the maintenance and debugging of existing codebases. These projects are designed to build foundational skills in coding, version control, and collaboration within a software development team. As you gain experience and demonstrate your abilities, you may be given opportunities to take on more complex assignments, such as developing new features or participating in code reviews, which can significantly support your professional growth.

What are the key skills and qualifications needed to thrive as an entry level Python programmer?

To thrive as an Entry Level Python Programmer, a solid understanding of Python fundamentals, basic algorithms, and problem-solving skills is essential, typically backed by a degree in computer science or relevant coursework. Familiarity with code versioning tools like Git, simple database systems such as SQLite or MySQL, and common frameworks like Flask or Django is often required. Attention to detail, eagerness to learn, and effective communication help individuals adapt and contribute to team projects. These skills and qualities are vital for writing reliable code, collaborating efficiently, and growing in a fast-paced tech environment.
What are the most commonly searched types of Python Programmer jobs in Ontario? The most popular types of Python Programmer jobs in Ontario are:
What are popular job titles related to Entry Level Python Programmer jobs in Ontario? For Entry Level Python Programmer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Programmer jobs in Ontario look for? The top searched job categories for Entry Level Python Programmer jobs in Ontario are:
Infographic showing various Entry Level Python Programmer job openings in Ontario as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Distributed Systems Software Engineer, Python / Go

Canonical

Full-time

Posted 6 days ago


Job description

Distributed Systems Software Engineer, Python / Go

Join to apply for the Distributed Systems Software Engineer, Python / Go role at Canonical

Distributed Systems Software Engineer, Python / Go

3 months ago Be among the first 25 applicants

Join to apply for the Distributed Systems Software Engineer, Python / Go role at Canonical

We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud applications.
We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to test automation, reporting and data analytics.
The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, OpenStack, Kubernetes when deployed under highly diverse conditions, from bare metal in customer data centers to public clouds like AWS, GCE, Azure.
As a software engineer you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting. Upcoming initiatives you will have the opportunity to contribute to include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.
Location: this is a Globally remote role
What your day will look like

  • Create automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications
  • Enable engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the company
  • Enhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as Kubeflow
  • Deploy, manage, and debug highly distributed systems
  • Monitor and report on automated testing efforts
  • Collaborate daily with a globally distributed team
What we are looking for in you
  • Solid background in modern test processes and strategies
  • Experience with Python or Go development
  • Strong object oriented development skills
  • Ability to develop and ship production grade modern web applications
  • Working knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub CI
  • Knowledge of networking technologies and fundamentals
  • Solid understanding of Linux system architecture
  • A capacity for complex abstract thinking
  • Capability for 2-4 weeks of international travel travel per year
Additional skills that you might also bring
  • Collecting and analyzing large multidimensional datasets
  • Operating data platforms: key-value stores, relational or document databases, event buses
  • Work with cloud technologies such as OpenStack, Kubernetes, Terraform and AWS
  • Developing AI/ML pipelines
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
  • Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues from your team and others
  • Priority Pass for travel and travel upgrades for long haul company events
Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world's computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Seniority level
  • Seniority level Entry level
Employment type
  • Employment type Full-time
Job function
  • Job function Engineering and Information Technology
  • Industries Software Development

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