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

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

We prioritize open-source technologies in our data stack while leveraging Google Cloud Platform ... Familiarity with reverse ETL tooling (Hightouch) * Familiarity with data catalog and lineage ...

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Google Reverse Engineer information

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 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 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 July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 86% Physical, 7% Hybrid, and 7% Remote job distribution.

Senior Data Engineer

Alpaca

Toronto, ON • On-site, Remote

Full-time

Re-posted 22 days ago

Job description

Who We Are:

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
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 10 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 $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:

We're a dynamic team of 400+ 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 Engineer to help design and build the next generation of our Data Platform as we continue to scale 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 stakeholders. We process hundreds of millions of events daily, and this number continues to grow as we onboard new customers and products.

We prioritize open-source technologies in our data stack while leveraging Google Cloud Platform (GCP) as the foundation for our data infrastructure. This spans batch and stream ingestion, transformation, and consumption layers for BI/Reporting, AI/agent interfaces (MCP), and external third-party sinks. We also oversee data experimentation, cataloging, and monitoring/alerting systems.

Our team is 100% distributed and remote.

Responsibilities:

  • Design, build, and evolve the core data platform infrastructure e.g., distributed query engines, orchestration, warehousing, cataloging, and more.
  • Own our lakehouse infrastructure as code, managing deployments through Terraform and Ansible on Kubernetes.
  • Build and maintain low-latency streaming and CDC ingestion pipelines, as well as batch ingestion paths landing in Iceberg.
  • Develop and scale our BI landscape so downstream teams and agents get performant, self-serve access to lakehouse data.
  • Enforce platform reliability best practices, including monitoring and alerting, on-call rotations, incident response, maintenance windows, runbooks, and SLAs.
  • Partner with DevOps, Analytics Engineering, and other stakeholders to close infrastructure gaps and support new data requirements.

Must-Haves:

  • 5+ years of experience in Data Engineering, including 2+ years building and operating scalable, low-latency data platforms handling > 100M events/day.
  • Strong hands-on experience running data infrastructure on Kubernetes, with cloud-native tooling like Docker and Helm.
  • Production experience with IaC: Terraform, Ansible, and ArgoCD (or equivalents).
  • Deep knowledge of distributed systems (storage, transactions, and query processing) with hands-on experience operating open-source query engines like Trino or Presto.
  • Strong experience with object storage and open table formats, specifically Apache Iceberg.
  • Experience with streaming and CDC systems: Kafka, Redpanda, and Debezium.
  • Hands-on experience with orchestration frameworks (Airflow) and ELT tools (Airbyte).
  • Strong working knowledge of Python and SQL for building pipelines and platform tooling.
  • Experience with Google Cloud Platform and its data services (GCS, Cloud Build, Cloud SQL, Dataproc, etc); or related experience with other cloud services.
  • Ability to thrive in a fast-paced startup environment and adapt infrastructure to rapidly changing needs.

Nice to Haves:

  • Experience with semantic/metrics layers (Cube, dbt, Looker).
  • Familiarity with transformation frameworks (dbt).
  • Familiarity with reverse ETL tooling (Hightouch)
  • Familiarity with data catalog and lineage tooling (OpenMetadata, Datahub)
  • Experience with data access control and governance frameworks (Apache Ranger)
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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