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Python Programming Entry Level 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 ...

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 ...

Python Programming Entry Level information

What skills and qualifications are needed for an entry-level Python programmer?

To thrive as an Entry-Level Python Programmer, you need a solid grasp of Python fundamentals, problem-solving abilities, and typically a degree or coursework in computer science or a related field. Familiarity with version control systems like Git, basic knowledge of databases, and exposure to frameworks such as Flask or Django are often expected. Attention to detail, eagerness to learn, and effective communication help you collaborate and adapt quickly in a team environment. These skills ensure you can write clean code, contribute to projects efficiently, and grow within dynamic development teams.

What is an entry-level Python programmer?

Entry level Python programming jobs are positions designed for individuals who are new to programming or have limited professional experience with Python. These roles typically involve tasks such as writing simple scripts, debugging code, updating software, and assisting with larger projects under the supervision of experienced developers. Employers look for candidates with a basic understanding of Python syntax, problem-solving abilities, and a willingness to learn new tools and technologies. Entry level positions may include job titles like Junior Python Developer, Python Intern, or Software Developer I.

How do entry-level Python programmers collaborate with more experienced developers?

Entry-level Python programmers often work closely with senior developers through code reviews, pair programming sessions, and regular team meetings. This collaboration helps newcomers learn best practices, understand project architecture, and receive constructive feedback. It's common to start with smaller tasks or bug fixes, gradually taking on more complex assignments as you build confidence and skill. Open communication and willingness to ask questions are encouraged, as teamwork is essential in most Python development environments.

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

AspectPython Programming Entry LevelData Analyst Entry Level
Required SkillsBasic Python, problem-solving, understanding of algorithmsExcel, SQL, data visualization, basic Python or R
CertificationsPython certifications, coding bootcampsMicrosoft Excel, SQL certifications
Work EnvironmentTech companies, startups, software firmsFinance, marketing, healthcare, consulting
Industry UsageSoftware development, automation, scriptingData analysis, reporting, business insights

Python Programming Entry Level roles focus on coding, scripting, and automation using Python, often in tech environments. Data Analyst Entry Level positions involve analyzing data, creating reports, and using tools like Excel and SQL. While both roles require analytical skills, Python programming emphasizes coding proficiency, whereas data analysis emphasizes data handling and visualization. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Python Programming jobs in Ontario? The most popular types of Python Programming jobs in Ontario are:
What job categories do people searching Python Programming Entry Level jobs in Ontario look for? The top searched job categories for Python Programming Entry Level jobs in Ontario are:
What cities in Ontario are hiring for Python Programming Entry Level jobs? Cities in Ontario with the most Python Programming Entry Level job openings:
Infographic showing various Python Programming Entry Level job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Distributed Systems Software Engineer, Python / Go

Canonical

Full-time

Posted 9 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

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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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Toronto, Ontario, Canada CA$125,000.00-CA$150,000.00 1 month ago

Software Engineer, Backend - (Consumer - Products) Senior Software Engineer - STCE New Products Software Engineer I (Consumer Servicing)

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