1

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

Android Reverse Engineer information

What is an Android Reverse Engineer job?

An Android Reverse Engineer analyzes and deconstructs Android applications to understand their functionality, security mechanisms, and potential vulnerabilities. They use tools like APK decompilers, debuggers, and dynamic analysis frameworks to reverse-engineer apps, often for security research, malware analysis, or software compatibility purposes. This role requires expertise in Android internals, Java, Kotlin, Smali, and ARM assembly, as well as knowledge of encryption and obfuscation techniques.

What are the typical day-to-day responsibilities of an Android Reverse Engineer?

On a typical day, an Android Reverse Engineer disassembles and analyzes Android applications or firmware to uncover vulnerabilities, understand app behavior, or verify code integrity. You may work closely with security teams, developers, and sometimes legal teams to ensure findings are communicated and remediation steps are implemented. Tasks can include static and dynamic analysis, malware detection, creating proof-of-concept exploits, and writing detailed technical reports. The role requires strong analytical focus, attention to detail, and a willingness to keep up with emerging threats and evolving mobile technologies.

What are the key skills and qualifications needed to thrive in the Android Reverse Engineer position, and why are they important?

To thrive as an Android Reverse Engineer, you should possess a deep understanding of Android operating system internals, proficiency in programming languages like Java and C/C++, and hands-on experience with reverse engineering concepts and tools such as IDA Pro, Ghidra, or Apktool. Familiarity with ARM architecture, Android emulators, and security certifications like OSCP or GIAC GREM are common requirements in the field. Excellent analytical thinking, attention to detail, and strong problem-solving abilities help engineers tackle complex tasks and communicate findings clearly to stakeholders. These combined skills are essential for identifying vulnerabilities, securing applications, and ensuring compliance with security standards.

What are popular job titles related to Android Reverse Engineer jobs in Toronto, ON? For Android Reverse Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Android Reverse Engineer jobs in Toronto, ON look for? The top searched job categories for Android Reverse Engineer jobs in Toronto, ON are:
Infographic showing various Android Reverse Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Software Engineer, Backend - Unified Gateway

DoorDash Canada

Toronto, ON • On-site

Other

Posted 21 days ago


Job description

About the Team

Help us build the world's most reliable, on-demand logistics engine for last-mile delivery! We're bringing on experienced engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.

About the Role

As a member of the Unified Gateway team, you'll build and maintain the API Gateway platform that sits at the front door of DoorDash's traffic - an HTTP-to-gRPC reverse proxy that accepts REST/JSON requests, translates them into Protocol Buffer messages, calls downstream gRPC services, and translates the responses back to clients. The platform empowers product engineers to declaratively define, test, deploy, and operate their API endpoints without standing up and managing their own edge services. It centrally handles authentication, authorization, request and response mapping, header propagation, encryption, and resilience, and powers experiences across DoorDash, Wolt, and Deliveroo spanning iOS, Android, and Web. By providing this robust platform, we deliver significant improvements in:

  • Velocity: Product engineers can iterate faster and deliver features more quickly.
  • Scalability: The platform is designed to handle increasing demand and traffic seamlessly.
  • Reliability: A safe programming model, centralized management, and standardized practices enhance system stability and reduce errors.
  • Cost Efficiency: Consolidating resources and streamlining processes optimizes operational costs across DoorDash.
You're excited about this opportunity because you will...
  • Design and build robust, scalable systems with engineering excellence and long-term maintainability in mind.
  • Improve performance, reliability, scalability, and security across the gateway and its request-processing pipeline.
  • Drive best practices in API management, service discovery, load balancing, and fault tolerance.
  • Champion adoption of the Unified Gateway platform across product teams.
  • Troubleshoot and resolve complex issues in our high-throughput production environment.
  • Evaluate and integrate new technologies to enhance the platform's capabilities.
  • Leverage the latest AI-assisted development tools and best practices.
We're excited about you because...
  • You have 2+ years of experience in backend, infrastructure, or platform engineering.
  • You have experience with gRPC, REST APIs, Protocol Buffers, and service-to-service communication patterns.
  • You have deep knowledge of best practices in Kotlin (or another JVM language) for building high-scale, resilient systems; familiarity with asynchronous/reactive frameworks such as Vert.x is a plus.
  • You have experience working on high-throughput, mission-critical production systems.
  • You have a strong understanding of distributed systems concepts, including consistency, fault tolerance, load balancing, and resilience patterns.
  • You are comfortable with API gateway and proxy concerns - authentication and authorization, request routing, and schema/contract management (e.g., OpenAPI).
  • You value solving problems at the platform level, building abstractions that make life easier for hundreds of engineers.
  • You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software