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Algorithmic Trading Software Developer Jobs in Toronto, ON

... trading. You will design robust state machines and event-driven microservices that power order ... Exceptional algorithm design, problem-solving, and API design skills. * Domain Passion: Strong ...

We are looking for a Senior Software Developer who loves writing code but also enjoys thinking ... Experience in the business area of equities and derivatives trading Salary Range: 120,000/year ...

Intermediate Software Engineer

Toronto, ON · On-site

CA$80K - CA$105K/yr

... trade-offs. · A sound understanding of algorithmic complexity, general system architecture, and source control. · A Bachelor's degree in Computer Science or Engineering is strongly preferred. Nice ...

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Algorithmic Trading Software Developer information

See Toronto, ON salary details

$40.6K

$119.9K

$192.8K

How much do algorithmic trading software developer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for algorithmic trading software developer in Toronto, ON is $119,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,570.00 and $141,719.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Algorithmic Trading Software Developer position, and why are they important?

To thrive as an Algorithmic Trading Software Developer, you need strong expertise in programming languages such as Python, C++, or Java, deep knowledge of data structures and algorithms, and a strong background in mathematics or quantitative finance. Familiarity with trading platforms, automated testing frameworks, version control systems like Git, and experience with financial data APIs are highly advantageous. Analytical thinking, attention to detail, and effective teamwork and communication skills set top performers apart in this field. These abilities are crucial for building efficient, reliable trading algorithms and collaborating effectively in the fast-paced, high-stakes environment of financial markets.

What are some typical daily tasks for an Algorithmic Trading Software Developer?

Algorithmic Trading Software Developers typically spend their days designing, coding, and optimizing trading algorithms, analyzing market data, and conducting rigorous backtesting to ensure system performance. They often collaborate closely with quantitative analysts and traders to incorporate new strategies and respond to dynamic market conditions. Monitoring and troubleshooting live trading systems to quickly resolve issues is also a key responsibility. Additionally, they may participate in code reviews and contribute to broader technology initiatives within their team, working in a fast-paced and results-driven financial environment.

What does an Algorithmic Trading Software Developer do?

An Algorithmic Trading Software Developer designs, develops, and optimizes software that executes financial trades automatically based on predefined algorithms. They work with programming languages like Python, C++, or Java, and use data structures, machine learning, and financial models to improve trading efficiency. Their role involves backtesting strategies, optimizing execution speed, and ensuring system reliability. They collaborate with traders, quantitative analysts, and IT teams to enhance trading performance.

What are the most commonly searched types of Algorithmic Trading Software Developer jobs in Toronto, ON? The most popular types of Algorithmic Trading Software Developer jobs in Toronto, ON are:
What are popular job titles related to Algorithmic Trading Software Developer jobs in Toronto, ON? For Algorithmic Trading Software Developer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading Software Developer jobs in Toronto, ON look for? The top searched job categories for Algorithmic Trading Software Developer jobs in Toronto, ON are:

Embedded Software Designer - Processing & Algorithms (Contingent)

Kepler Communications

Toronto, ON

CA$159K - CA$209K/yr

Full-time

Medical, Dental, Vision

Posted 11 days ago


Job description

At Kepler Communications, we're not just imagining the future of on-demand space connectivity - we're leading it!
 
Our mission is to provide real-time Internet access for space-based assets, enabling a new era of data-driven exploration and innovation. With 33 satellites launched to date, Kepler operates the first commercial optical data relay constellation, enabling real-time, continuous space communications while supporting advanced on-orbit compute and hosted payload capabilities. 
 
Industry-leading technology is only part of the story. What sets Kepler apart is our team: bold thinkers, skilled builders, and passionate problem-solvers who thrive on pushing the boundaries of what's possible in space. We believe great ideas come from diverse perspectives, and we're committed to creating an environment where you can grow, lead, and make a global impact. 
 
If you're ready to reach higher, move faster, and do work that shapes the future space economy - this is your launchpad. Come build the future with Kepler! 
 
 
What We Offer:
* Competitive compensation with a robust equity plan to share in our success. 
* Comprehensive coverage for health, dental, and vision insurance-including dependents. 
* Unlimited vacation, supportive parental leave policy, and company-wide holiday shutdown. 
* Semi-annual company-wide parties and frequent in-office team events. 
* Relocation packages available for approved roles. 
* $1,500 annual professional development fund to support your growth. 
* Fully stocked Toronto office kitchen with snacks, drinks, games and top-notch kitchen appliances. 
* Town Halls, Celebration Calls, and Company-wide events to stay connected and engaged. 
* We're a certified Great Place to Work, five years in a row!

Position Status: Contingent Upon Program Award
 
We're on the hunt for a top-tier Embedded Software Engineer - Processing & Algorithms to build the processing software that turns raw sensor data into actionable information. Your focus will be on signal, image, and EO/IR processing algorithms across a growing fleet of spacecraft, spanning both space and ground-based assets. You'll be relied upon for input and decisions that will directly impact design and operation. 
Key Responsibilities:
  • Design and develop reliable, high-quality software related to: 

    • Processing pipelines for EO/IR, signal, and image data across space and ground systems 

    • Interfacing with imaging and data sensors to collect and analyze data 

    • On-board software for our next generation of satellites 

  • Support the development of detection and tracking algorithms, including evaluating and integrating third-party IP from vendors and partners into the processing pipeline 

  • Writing thorough tests and documentation 

  • Participating in software design review and code review processes 

  • Work with electrical, digital design, and operations teams to identify required features and solidify the system architecture 

  • Provide technical leadership and mentorship to junior engineers 

  • Identify shortcomings in existing software components and direct future development efforts 

Required Skills & Qualifications:
  • 5+ years of embedded software development experience 

  • Bachelor's degree in Computer Science, Electrical Engineering, or equivalent 

  • Strong software design and development skills, including algorithms, testing and debugging 

  • Proficiency in C/C++, especially in embedded topics such as concurrency, memory-mapped peripherals, and hardware interfaces (SPI, I2C, CAN) 

  • Experience developing EO/IR, signal, or image processing algorithms 

  • Demonstrated willingness and ability to leverage AI-assisted engineering and development tools to improve productivity, design quality, and innovation while adapting to evolving technologies and best practices
  • Comfortable using AI-assisted tooling for code development and testing 
  • Experience interfacing with different imaging and data sensors to collect and analyze data 
  • Experience with embedded operating systems and build systems, including OpenEmbedded / Yocto and FreeRTOS 

  • Excellent communication skills 

  • Ability to effectively use Git and associated CI/CD features 

Bonus Points:
  • Master's degree in Computer Science, Electrical Engineering, or equivalent

  • Experience developing software for aerospace applications 

  • Experience with detection and tracking algorithms for both edge and ground processing 

  • Experience using ML/AI as part of the processing pipeline 

  • Experience interfacing with FPGA or GPU processing hardware 

  • Background (industry or personal projects) in sensor data collection and analysis 

Salary Range: $159,288 - 209,288 CAD

Actual total compensation will be determined at the Company's discretion and is based on a variety of job-related factors, which may include, but are not limited to, relevant knowledge, skills, experience, performance, and education and/or training. The Company encourages all qualified applicants to apply, even if the posted salary range does not align with their expectations, as it does not reflect our total compensation package.

Job Type: Contingent Upon Program Award


Employment Equity & Accommodation Statement 
Kepler Communications is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applications from all qualified individuals, including women, Indigenous peoples, persons with disabilities, members of visible minorities, and people of all sexual orientations and gender identities. 
 
If you require accommodation during any stage of the recruitment process, please contact our People & Culture team at [email protected], and we will work with you to meet your needs. 
At Kepler Communications, all hiring decisions are made by people. Human recruiters are involved in every step of our recruitment process. We use AI-based tools (such as Lever AI and HireEZ) to assist with the initial review of applications by ranking candidates based on job-relevant criteria. These tools support - but do not replace - human judgment.
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