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Full Time Reverse Engineer Jobs in Toronto, ON (NOW HIRING)

Alstom

Mechanical Design Engineer

Toronto, ON · On-site

CA$85K - CA$110K/yr

Could you be the full-time Mechanical Design Engineer in Toronto, ON, Canada we're looking for ... Experience in overhaul projects and reverse engineering is a plus. * Strong communication and ...

Alstom

Mechanical Design Engineer

Toronto, ON

CA$85K - CA$110K/yr

Could you be the full-time Mechanical Design Engineer in Toronto, ON, Canada we're looking for ... Experience in overhaul projects and reverse engineering is a plus. * Strong communication and ...

Reconomy

Recycling Auditor

Brampton, ON

$22.50/hr

The Reverse Logistics Group (RLG) is an innovative technology service provider for global players ... The position is a permanent, full-time role reporting to our Brampton location. This position ...

Big Viking Games

Technical Director, Live Games

Toronto, ON · On-site

CA$180K - CA$220K/yr

Technical Director, Live Games Toronto, ON Hybrid, 3 days per week in office Full-time Engineering ... Make or drive alignment on technical decisions that are expensive to reverse. * Lead significant ...

Big Viking Games

Technical Director, Live Games

Toronto, ON · On-site

CA$180K - CA$220K/yr

Technical Director, Live Games Toronto, ON Hybrid, 3 days per week in office Full-time Engineering ... Make or drive alignment on technical decisions that are expensive to reverse. * Lead significant ...

All JobsReverse Engineer JobsFull Time Reverse Engineer JobsFull Time Reverse Engineer Jobs in Toronto, ON

Full Time Reverse Engineer information

What does a full time reverse engineer do?

A Full Time Reverse Engineer analyzes software, hardware, or systems to understand how they work, often by deconstructing code or circuitry. This role typically involves finding vulnerabilities, understanding undocumented features, and ensuring security or compatibility with other technologies. Reverse engineers use specialized tools and techniques to examine binaries, firmware, or applications. Their work is crucial in cybersecurity, malware analysis, and software development. They may also help organizations protect their products from piracy or unauthorized modifications.

What skills and qualifications are needed to thrive as a full time reverse engineer?

To thrive as a Full Time Reverse Engineer, you need strong analytical skills, a solid understanding of computer architecture, assembly languages, and proficiency in programming, often supported by a degree in computer science or related field. Familiarity with tools such as IDA Pro, Ghidra, OllyDbg, and certifications like OSCP or GIAC Reverse Engineering are highly valued. Attention to detail, problem-solving aptitude, and persistence are essential soft skills that distinguish top performers in this role. These capabilities are crucial for dissecting complex software, identifying vulnerabilities, and developing effective solutions in security-focused environments.

What are common challenges faced by full time reverse engineers, and how can they be addressed?

Full-time reverse engineers often encounter challenges such as dealing with obfuscated or packed code, scarce documentation, and rapidly evolving security countermeasures. These obstacles require a strong understanding of assembly language, familiarity with disassemblers and debuggers, and persistence in problem-solving. Collaborating with other security professionals and staying updated on the latest tools and techniques can significantly help in overcoming these challenges, while also fostering continuous learning and professional growth.

What is the difference between Full Time Reverse Engineer vs Malware Analyst?

AspectFull Time Reverse EngineerMalware Analyst
CredentialsBachelor's in CS or related field, certifications like GREM or OSCPBachelor's in CS, cybersecurity, or related, certifications like GREM, GIAC
Work EnvironmentSecurity firms, tech companies, government agencies, often in labs or officesSecurity teams, incident response units, often in SOCs or remote settings
Industry UsageUsed in cybersecurity, software security, threat analysisFocused on threat detection, incident response, malware analysis
Comparison IntentUnderstanding technical reverse engineering skillsFocus on malware behavior and threat mitigation

Full Time Reverse Engineers and Malware Analysts both work in cybersecurity, often share certifications and work environments. However, reverse engineers primarily analyze software to understand its inner workings, while malware analysts focus on identifying and mitigating malicious code. Both roles are essential for security but serve different specialized functions within the industry.

What are popular job titles related to Full Time Reverse Engineer jobs in Toronto, ON?

For Full Time Reverse Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Full Time Reverse Engineer jobs in Toronto, ON look for?

The top searched job categories for Full Time Reverse Engineer jobs in Toronto, ON are:

Full Time Reverse Engineer jobs near you
Infographic showing various Full Time Reverse Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Scientist / ML Engineer

Iris Software Inc.

Toronto, ON • On-site, Remote

Full-time

Posted 8 days ago

Job description

Iris Software is looking to hire a Data Scientist / ML Engineer for a full-time opportunity in Toronto, ON (hybrid position). Please respond back with your most recent resume if you would be interested...!


Job Title: Data Scientist / ML Engineer

Location: Toronto, ON (2 days onsite)

Full-time with Iris Software for one of the banks in downtown Toronto


The client is looking for:

- feature engineering

- data wrangling

- model automation

- Tool stack probably in this order – Python, PySpark, Glue, Sagemaker, SAS


Key Responsibilities

  • Foundation & Feature Engineering: Lead the foundational setup of Python/PySpark development environments, actively managing complex package dependencies and virtual environments using Conda/Anaconda.
  • Pipeline Development: Design, build, and deploy net-new data pipelines focused heavily on feature engineering and data preparation to feed downstream machine learning and analytics use cases.
  • Code Translation: Analyze and reverse-engineer existing SAS programs (developed by business users and data scientists) to accurately extract business rules, data transformations, and calculations.
  • Platform Modernization: Translate extracted SAS logic into efficient, scalable, and functionally equivalent PySpark code.
  • Performance Tuning: Optimize PySpark code for performance, scalability, and maintainability within distributed data processing environments.
  • Stakeholder Collaboration: Collaborate closely with business users and data scientists to clarify requirements, validate feature outputs, and resolve discrepancies during the migration process.
  • Quality Assurance: Perform robust unit testing, data reconciliation, and automated validation to ensure absolute data parity between legacy SAS outputs and the new PySpark pipelines.
  • Documentation: Document technical designs, code lineage, testing results, and migration methodologies for future team scaling.


Required Qualifications

  • Strong programming expertise in Python and PySpark for distributed data processing.
  • Proven experience building data pipelines specifically for feature engineering, data curation, and advanced data preparation.
  • Ability to read, interpret, and reverse-engineer legacy SAS code (such as SAS data steps, procedures, and macros) to extract complex business logic. (Note: Deep SAS development experience is a plus, but the ability to translate it is the core requirement).
  • Experience establishing and managing Python environments, ensuring reproducibility, and handling library dependencies using Anaconda/Conda.
  • Advanced SQL skills and experience working with large-scale structured datasets.
  • Experience with code migration, platform modernization, or translating legacy codebases into modern open-source stacks.
  • Strong analytical, problem-solving, and communication skills, with a track record of successfully interfacing directly with business stakeholders.


Preferred Qualifications

  • Experience working with cloud-based data platforms (Azure, AWS, or GCP).
  • Familiarity with version control tools (Git) and collaborative development workflows.
  • Experience with CI/CD pipelines, automated testing, and MLOps principles.
  • Exposure to financial services, banking, or other highly regulated industries.
  • Knowledge of data governance, data cataloging, and data quality best practices.


Key Skills

  • Python & PySpark
  • Feature Engineering & Data Pipelines
  • Anaconda / Conda Environment Management
  • SAS Interpretation & Code Translation
  • Distributed Computing & Spark Optimization
  • SQL & Data Reconciliation
  • Legacy Platform Modernization
  • Agile Delivery


About Iris Software Inc.

With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.


Kind regards,


Amarpreet Singh

200 Bay Str. Toronto, ON, M5H4E9

200 Metroplex Drive, Suite #300 Edison, NJ 08817

amarpreet.singh@irissoftware.com | www.irissoftware.com

Iris Software ranked 38th among 1200 companies spanning 20+ industries in the country to become India’s Best Companies to Work For 2022!

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