1

Algorithmic Jobs in Ontario (NOW HIRING)

Our algorithms move the global economy-- in seconds, not hours, or days. It's Big Data with an impact. See what others say about us in the Gartner report. Salary Range Annual cash compensation ranges ...

Our algorithms move the global economy-- in seconds, not hours, or days. It's Big Data with an impact. See what others say about us in the Gartner report. Salary Range Annual cash compensation ranges ...

The algorithms exist, they run, and they produce results for real customers. Your job is to understand the existing system deeply, identify where performance is limited, and systematically improve it ...

The algorithms exist, they run, and they produce results for real customers. Your job is to understand the existing system deeply, identify where performance is limited, and systematically improve it ...

Routing Algorithm Development: Design, implement, and optimize FPGA routing algorithms to improve performance, routability, and timing closure. * Compiler Enhancement: Contribute to the FPGA compiler ...

As a pivotal member of Nokia's DSP Algorithm Team, you will spearhead the development of advanced Coherent DSP and algorithms and implementation, driving fiber optic communication systems beyond 800 ...

Routing Algorithm Development: Design, implement, and optimize FPGA routing algorithms to improve performance,routability, and timing closure. * Compiler Enhancement: Contribute to the FPGA compiler ...

As a pivotal member of Nokia's DSP Algorithm Team, you will spearhead the development of advanced Coherent DSP and algorithms and implementation, driving fiber optic communication systems beyond 800 ...

You will develop these models and algorithms in collaboration with Security Researchers, who are experts in cyber security attack techniques. This work provides the core detection capability for our ...

Advanced understanding of optimization algorithms and methods. * Fundamental understanding of optical communication systems, photonic integrated components, and electronic circuits. * Hands-on ...

Develop, optimize, test, and maintain computer vision algorithms and tools related to camera calibration and geometric transformations for embedded platforms and PC-based environments. * Integrate ...

next page

Showing results 1-20

Algorithmic information

See Ontario salary details

$80K

$155.8K

$360.5K

How much do algorithmic jobs pay per year?

As of Jul 22, 2026, the average yearly pay for algorithmic in Ontario is $155,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $161,500.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithmic jobs include roles such as data scientist, software engineer, machine learning engineer, and quantitative analyst, where designing, implementing, and optimizing algorithms is essential. These positions often require programming skills in languages like Python or C++ and knowledge of data structures and mathematical concepts. They are common in technology, finance, healthcare, and research environments.

How to get into algotrading?

To get into algorithmic trading, develop strong programming skills in languages like Python or C++, learn quantitative finance and trading strategies, and gain experience with trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and internships or entry-level roles can provide practical experience in the field.

What are algorithmic jobs?

Algorithmic jobs involve designing, analyzing, and implementing algorithms to solve specific problems or optimize processes. Professionals in these roles often work in fields like computer science, finance, and engineering, where they create solutions for data processing, automation, or trading systems. These jobs require strong analytical skills, proficiency in programming languages, and a solid understanding of mathematical concepts. Algorithmic roles can range from developing search algorithms for software applications to creating automated trading strategies in financial markets.

What is the most in demand programming job?

Algorithmic roles, such as algorithm engineers and data scientists, are highly in demand due to their importance in fields like finance, tech, and AI. These jobs typically require strong programming skills in languages like Python, C++, or Java, and expertise in data structures, algorithms, and machine learning tools.

What are some common challenges faced by professionals in algorithmic roles, and how can these be addressed?

Professionals in algorithmic roles often encounter challenges such as optimizing algorithms for efficiency, managing large and complex data sets, and ensuring their solutions scale well in production environments. Collaborating closely with data engineers, software developers, and product teams is essential to address these issues. Keeping up-to-date with the latest advancements through continuous learning and code reviews, as well as leveraging peer feedback, can help overcome technical hurdles and improve algorithm performance.

What are the key skills and qualifications needed to thrive as an Algorithmic Trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often in Python, C++, or R), and financial markets, typically supported by a degree in finance, mathematics, computer science, or a related field. Familiarity with trading platforms, statistical modeling tools, and certifications like CFA or FRM can enhance your expertise. Analytical thinking, attention to detail, and strong decision-making skills set top performers apart in this competitive field. These skills ensure the development, testing, and execution of effective trading strategies in rapidly changing market environments.

What are some jobs that can be automated?

Algorithmic roles often involve tasks such as data analysis, process monitoring, and repetitive decision-making, which can be automated using software tools, machine learning models, and scripting. Jobs in manufacturing, customer service, and administrative support are also increasingly automated through robotics, chatbots, and workflow automation platforms. These technologies reduce manual effort and improve efficiency but require skills in programming, data management, and system integration.

What is the difference between Algorithmic vs Data Analyst?

AspectAlgorithmicData Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, finance, research labs; focus on coding and algorithm developmentBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in software development, quantitative research, AIUsed in marketing, finance, healthcare for data-driven decisions

While both roles involve working with data, Algorithmic professionals primarily develop algorithms and coding solutions, often in technical environments. Data Analysts focus on analyzing data sets to generate insights and reports. Understanding these differences helps in choosing the right career path or job search focus.

What job categories do people searching Algorithmic jobs in Ontario look for? The top searched job categories for Algorithmic jobs in Ontario are:
What cities in Ontario are hiring for Algorithmic jobs? Cities in Ontario with the most Algorithmic job openings:
Infographic showing various Algorithmic job openings in Ontario as of July 2026, with employment types broken down into 1% Internship, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $155,802 per year, or $74.9 per hour.

Junior Algorithms Developer- C++

Kinaxis Inc.

Kanata, ON

CA$96K - CA$146K/yr

Full-time

PTO

Posted 21 days ago


Job description

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today's volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location

Hybrid - Our office in Ottawa, Canada

About the team

Algorithm Developers at Kinaxis create algorithms to solve supply chains worldwide. Each one of us plays an important part in developing solutions, building our culture, and making a global impact.Every day, we are empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet - for each other, for our customers and for generations to come. Our cloud-based platform Maestro ensures that the products we need - everything from medicine and cars to day-to-day items like toothpaste - make it to market and into our hands when we need them with minimal ecological footprint. Our customers have terabytes of data that needs to be analyzed for the largest supply chains imaginable. Our algorithms move the global economy-- in seconds, not hours, or days. It's Big Data with an impact. See what others say about us in the Gartner report.

Salary Range

 Annual cash compensation ranges from $96,000 to $146,000 plus a discretionary company bonus. The final offer within this range will reflect the successful candidate's skills and experience.

Vacancy Status

This is an existing job vacancy

What you will do

  • Design and implement scalable, high-quality, maintainable analytics algorithms to solve business problems.
  • Write clean, efficient, and well-documented code, ensuring high-quality deliverables through peer reviews and adherence to coding standards.
  • Collaborate closely with other developers, product managers and stakeholders to define and prioritize features enhancements.
  • Define test strategies and develop comprehensive test plans.
  • Write unit, functional tests, and integration tests plus debugging to ensure robust high-quality software.
  • Design, develop, and support automated test scripts for functional, regression, and performance testing using testing frameworks and tools.
  • Collaborate with a supportive team that values learning, mentorship, and growth.
  • Stay updated with industry trends and emerging technologies to ensure the continued evolution and improvement of the development process and software architecture.
  • Shape the future direction of analytics as we move into new markets.

Technologies we use

  • C++
  • MS Visual Studio and VS Code
  • Git and Bitbucket
  • JIRA and Confluence
  • SonarQube
  • AI tools such as GitHub Copilot

What we are looking for

  • A genuine passion for programming and problem solving, with a desire to continuously learn and improve
  • Strong interest in data structures and algorithms, and excitement about applying them to real world problems
  • Ability to write clean, maintainable code in an object-oriented language such as C++ or Java, with openness to learning new languages and tools
  • Hands-on experience with AI tools (e.g., GitHub Copilot), and interest in using them to learn faster and work more efficiently
  • Understanding of object-oriented design patterns and design practices, and an eagerness to apply and deepen that knowledge
  • Curiosity to explore problems, ask questions, and learn from others while working toward better solutions
  • Motivation to build high quality, performant systems and continuously improve how you work
  • Interest in testing and quality, with a mindset of ensuring what you build works reliably and can scale
  • Familiarity with Agile methodologies such as Scrum and the full software development lifecycle
  • Strong problem-solving skills and the ability to break down challenging problems into manageable parts
  • Interest in learning about supply chain concepts and how software impacts real business outcomes
  • Collaborative mindset

Nice to Have:

  • Ability to write C++ code following modern C++ standards (C++11/14/17/20)
  • SaaS product development in large-scale enterprise environments
  • Supply chain domain knowledge (Demand Planning, MRP, S&OP, Capacity Planning)

Work With Impact: Our platform directly helps companies power the world's supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we're committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

  • Flexible vacation and Kinaxis Days (company-wide days off)
  • Flexible work options
  • Physical and mental well-being programs
  • Regularly scheduled virtual fitness classes
  • Mentorship programs, training, and career development
  • Recognition programs and referral rewards
  • Hackathons

For more information, visit the Kinaxis website at www.kinaxis.com or the company's blog at http://blog.kinaxis.com.

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

Employment Type: FULL_TIME