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Google Reverse Engineer Jobs in Toronto, ON (NOW HIRING)

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

Design and oversee key forward- and reverse-ETL patterns to deliver data to relevant stakeholders ... Strong hands-on experience with Google Cloud Platform and its various data-related services ...

PwC

Threat Response Manager, Global

Toronto, ON · Hybrid

CA$98K - CA$148K/yr

... and reverse engineering * Demonstrates strong conscientiousness and high agency. Takes full ... Microsoft, Google, and Amazon cloud certifications * All DFIR, offensive security, development ...

All JobsGoogle Reverse Engineer JobsGoogle Reverse Engineer Jobs in Toronto, ON

Google Reverse Engineer information

Will AI replace Reverse Engineering?

AI can assist reverse engineers by automating certain tasks like pattern recognition and code analysis, but it is unlikely to fully replace the role. Reverse engineering requires critical thinking, understanding complex systems, and adapting to new challenges, which currently rely on human expertise and specialized skills. Professionals in this field often use tools like disassemblers and debuggers to perform their work effectively.

What are some common challenges faced by Google Reverse Engineers when analyzing complex software systems?

Google Reverse Engineers often encounter challenges such as dealing with heavily obfuscated code, undocumented protocols, and rapidly evolving software environments. They need to carefully dissect binaries and proprietary code to understand functionality, which can be time-consuming and require creative problem-solving. Collaboration with security analysts and software developers is common, as insights from reverse engineering can inform vulnerability mitigation and product improvements. Staying up-to-date with the latest tools and techniques is essential for overcoming these obstacles efficiently.

What is the difference between Google Reverse Engineer vs Security Analyst?

AspectGoogle Reverse EngineerSecurity Analyst
Required CredentialsTechnical degrees, cybersecurity certifications, reverse engineering skillsCybersecurity certifications, analytical skills, sometimes degrees in IT or related fields
Work EnvironmentTech companies, cybersecurity firms, research labsCorporate security teams, government agencies, consulting firms
Employer & Industry UsagePrimarily in tech and cybersecurity industriesAcross various industries including finance, government, and tech
Common Search & Comparison IntentUnderstanding technical skills and reverse engineering rolesAssessing security roles and responsibilities

Google Reverse Engineers focus on analyzing and dissecting software, malware, and security vulnerabilities through reverse engineering techniques. Security Analysts monitor, detect, and respond to security threats within organizations. While both roles require cybersecurity knowledge, reverse engineers are more technical and research-oriented, whereas security analysts focus on threat management and defense strategies.

What is L1, L2, L3, and L4 in Google?

In the context of a Google reverse engineer role, L1, L2, L3, and L4 typically refer to different levels of technical support or engineering positions within Google's organizational hierarchy, with L1 being entry-level and L4 more senior. These levels often indicate increasing experience, responsibility, and expertise, and understanding them can help in career progression and job expectations at Google. Knowledge of internal structures and technical skills are essential for advancing through these levels.

What engineers make $300,000 a year?

Senior engineers in high-demand fields such as software engineering, especially at major tech companies like Google, often earn $300,000 or more annually, including base salary, bonuses, and stock options. Roles requiring advanced skills in areas like machine learning, cloud infrastructure, or cybersecurity tend to have higher compensation levels, particularly for those with extensive experience and specialized certifications.

What is a Google Reverse Engineer?

A Google Reverse Engineer is a professional who analyzes Google’s software, products, or services to understand their inner workings, often by studying how code functions without access to the original source code. This process can involve deciphering algorithms, protocols, or security mechanisms to enhance compatibility, improve security, or uncover vulnerabilities. Reverse engineers typically use specialized tools and techniques to deconstruct and analyze Google software, all while adhering to legal and ethical standards. Their work is important in cybersecurity, software development, and interoperability research.

What are the key skills and qualifications needed to thrive as a Google Reverse Engineer, and why are they important?

To thrive as a Google Reverse Engineer, you need strong expertise in computer science fundamentals, assembly language, binary analysis, and experience with reverse engineering tools—often supported by a related degree or equivalent experience. Familiarity with tools like IDA Pro, Ghidra, and debuggers, as well as certifications such as OSCP or CREST CRT, is typically expected. Analytical thinking, problem-solving, and meticulous attention to detail are essential soft skills for uncovering vulnerabilities and understanding complex software. These skills enable reverse engineers to identify security flaws, improve product security, and protect organizational assets from potential threats.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, especially at major tech companies like Google, often earn $500,000 or more annually when including base salary, bonuses, and stock options. These roles typically require advanced skills, extensive experience, and often involve leadership or specialized technical expertise.
What job categories do people searching Google Reverse Engineer jobs in Toronto, ON look for? The top searched job categories for Google Reverse Engineer jobs in Toronto, ON are:
Google Reverse Engineer jobs near you
Infographic showing various Google Reverse Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 85% Physical, 7% Hybrid, and 8% Remote job distribution.
Senior Data Engineer

Senior Data Engineer

Alpaca

Toronto, ON • On-site, Remote

Full-time

Posted 10 days ago

Job description

Who We Are:

Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.

Our Team Members:

We're a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role: We are seeking a Senior Data Platform Engineer to design and develop the data management layer for our platform to ensure its scalability as we expand to larger customers and new jurisdictions. At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision-making for both internal and external users. We process hundreds of millions of events daily, with this number growing as we onboard new customers.

We prioritize open-source solutions in our data management approach, leveraging a Google Cloud Platform (GCP) foundation for our data infrastructure. This includes batch/stream ingestion, transformation, and consumption layers for BI, internal use, and external third-party sinks. Additionally, we oversee data experimentation, cataloging, and monitoring and alerting systems.

Our team is 100% distributed and remote.

Responsibilities:

  • Design and oversee key forward- and reverse-ETL patterns to deliver data to relevant stakeholders.
  • Develop scalable patterns in the transformation layer to ensure repeatable integrations with BI tools across various business verticals.
  • Expand and maintain the Alpaca Data Lakehouse architecture's constantly evolving elements.
  • Collaborate closely with sales, marketing, product, and operations teams to address key data flow needs.
  • Operate the system and manage production issues in a timely manner.

Must-Haves:

  • 7+ years of experience in data engineering, including 2+ years of building scalable, low-latency data platforms capable of handling >100M events/day.
  • Proficiency in at least one programming language, with strong working knowledge of Python and SQL.
  • Experience with cloud-native technologies like Docker, Kubernetes, and Helm.
  • Strong hands-on experience with relational database systems and object storage implementations like Apache Iceberg.
  • Strong hands-on experience with Google Cloud Platform and its various data-related services (Composer, Dataproc, Datastream, etc.)
  • Experience in building scalable transformation layers, preferably through formalized SQL models (e.g., dbt).
  • Ability to work in a fast-paced environment and adapt solutions to changing business needs.
  • Experience with ETL orchestrators / frameworks like Apache Airflow and Airbyte.
  • Production experience with streaming systems like Kafka.
  • Exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC), like Terraform.
  • Deep knowledge of distributed systems, storage, transactions, and query processing utilizing open-source distributed query engines like Trino (formerly PrestoSQL).
  • If you're passionate about data engineering and thrive in a dynamic startup environment, we'd love to hear from you!
How We Take Care of You:
  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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