Software Engineer, Frontend - Risk Platform: EVENT
Coinbase
Software Engineer, Frontend - Risk Platform: EVENT
Job Description
Responsibilities
- Design, scope, and build new risk detection systems and major features, applying experienced-based judgment to solve complex technical challenges
- Independently manage complex features and projects from inception to production deployment
- Turn our vision into tangible roadmaps every quarter by working with engineers, product managers, and senior leadership
- Build self-serve options to reduce friction for legitimate users while blocking fraudulent activities
- Optimize end-to-end experiences related to security protection and scam prevention
- Actively participate in PR reviews, code lifecycle management, and mentor junior engineers
- Respond to incidents of all severities and contribute to post-mortems
- Collaborate with Data Science, ML, and Risk Analysts teams to develop both proactive (models & user-facing features) and reactive (one-off rules to mitigate urgent issues) solutions
- Proactively propose novel ideas to enhance codebase, features, and architecture, promoting developer efficiency
- Build systems that accelerate the team's ability to deliver high-quality work
- Identify, propose, and implement scalable solutions that can be leveraged across the team
- Leave code cleaner than you found it and maintain high code velocity
- Implement mechanisms to identify regressions and ensure prompt visibility of emerging issues
Required Qualifications
- 2+ years of experience in software engineering, with demonstrated ability to ship production systems
- Strong proficiency in at least one frontend framework (React, TypeScript)
- Experience building and maintaining distributed systems at scale
- Ability to independently manage complex tasks and work in unfamiliar systems with guidance
- Strong understanding of software design patterns, data structures, and algorithms
- Experience with modern development practices including CI/CD, testing, and monitoring
Preferred Qualifications
- Experience with risk, fraud detection, or financial systems
- Familiarity with machine learning models and their application in production
- Experience with real-time event processing and streaming architectures
- Knowledge of payment systems (ACH, cards, crypto) and associated fraud patterns
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes)
- Understanding of security best practices and compliance requirements
Required Skills
- React
- TypeScript
- JavaScript
- modern component-based architectures
- state management solutions
- web security best practices
- CI/CD
- testing
- monitoring
- software design patterns
- data structures
- algorithms
- distributed systems
- cloud platforms (AWS, GCP)
- containerization (Docker, Kubernetes)
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, and vision)
Salary Range
$154000 - $154000 CAD
Locations
- USA, United States (Remote)
Salary
154,000 - 154,000 CAD / yearly
Skills Required
- Reactintermediate
- TypeScriptintermediate
- JavaScriptintermediate
- modern component-based architecturesintermediate
- state management solutionsintermediate
- web security best practicesintermediate
- CI/CDintermediate
- testingintermediate
- monitoringintermediate
- software design patternsintermediate
- data structuresintermediate
- algorithmsintermediate
- distributed systemsintermediate
- cloud platforms (AWS, GCP)intermediate
- containerization (Docker, Kubernetes)intermediate
Required Qualifications
- 2+ years of experience in software engineering, with demonstrated ability to ship production systems (experience)
- Strong proficiency in at least one frontend framework (React, TypeScript) (experience)
- Experience building and maintaining distributed systems at scale (experience)
- Ability to independently manage complex tasks and work in unfamiliar systems with guidance (experience)
- Strong understanding of software design patterns, data structures, and algorithms (experience)
- Experience with modern development practices including CI/CD, testing, and monitoring (experience)
Preferred Qualifications
- Experience with risk, fraud detection, or financial systems (experience)
- Familiarity with machine learning models and their application in production (experience)
- Experience with real-time event processing and streaming architectures (experience)
- Knowledge of payment systems (ACH, cards, crypto) and associated fraud patterns (experience)
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes) (experience)
- Understanding of security best practices and compliance requirements (experience)
Responsibilities
- Design, scope, and build new risk detection systems and major features, applying experienced-based judgment to solve complex technical challenges
- Independently manage complex features and projects from inception to production deployment
- Turn our vision into tangible roadmaps every quarter by working with engineers, product managers, and senior leadership
- Build self-serve options to reduce friction for legitimate users while blocking fraudulent activities
- Optimize end-to-end experiences related to security protection and scam prevention
- Actively participate in PR reviews, code lifecycle management, and mentor junior engineers
- Respond to incidents of all severities and contribute to post-mortems
- Collaborate with Data Science, ML, and Risk Analysts teams to develop both proactive (models & user-facing features) and reactive (one-off rules to mitigate urgent issues) solutions
- Proactively propose novel ideas to enhance codebase, features, and architecture, promoting developer efficiency
- Build systems that accelerate the team's ability to deliver high-quality work
- Identify, propose, and implement scalable solutions that can be leveraged across the team
- Leave code cleaner than you found it and maintain high code velocity
- Implement mechanisms to identify regressions and ensure prompt visibility of emerging issues
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, and vision)
Tags & Categories
Software Engineer, Frontend - Risk Platform: EVENT
Coinbase
Software Engineer, Frontend - Risk Platform: EVENT
Job Description
Responsibilities
- Design, scope, and build new risk detection systems and major features, applying experienced-based judgment to solve complex technical challenges
- Independently manage complex features and projects from inception to production deployment
- Turn our vision into tangible roadmaps every quarter by working with engineers, product managers, and senior leadership
- Build self-serve options to reduce friction for legitimate users while blocking fraudulent activities
- Optimize end-to-end experiences related to security protection and scam prevention
- Actively participate in PR reviews, code lifecycle management, and mentor junior engineers
- Respond to incidents of all severities and contribute to post-mortems
- Collaborate with Data Science, ML, and Risk Analysts teams to develop both proactive (models & user-facing features) and reactive (one-off rules to mitigate urgent issues) solutions
- Proactively propose novel ideas to enhance codebase, features, and architecture, promoting developer efficiency
- Build systems that accelerate the team's ability to deliver high-quality work
- Identify, propose, and implement scalable solutions that can be leveraged across the team
- Leave code cleaner than you found it and maintain high code velocity
- Implement mechanisms to identify regressions and ensure prompt visibility of emerging issues
Required Qualifications
- 2+ years of experience in software engineering, with demonstrated ability to ship production systems
- Strong proficiency in at least one frontend framework (React, TypeScript)
- Experience building and maintaining distributed systems at scale
- Ability to independently manage complex tasks and work in unfamiliar systems with guidance
- Strong understanding of software design patterns, data structures, and algorithms
- Experience with modern development practices including CI/CD, testing, and monitoring
Preferred Qualifications
- Experience with risk, fraud detection, or financial systems
- Familiarity with machine learning models and their application in production
- Experience with real-time event processing and streaming architectures
- Knowledge of payment systems (ACH, cards, crypto) and associated fraud patterns
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes)
- Understanding of security best practices and compliance requirements
Required Skills
- React
- TypeScript
- JavaScript
- modern component-based architectures
- state management solutions
- web security best practices
- CI/CD
- testing
- monitoring
- software design patterns
- data structures
- algorithms
- distributed systems
- cloud platforms (AWS, GCP)
- containerization (Docker, Kubernetes)
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, and vision)
Salary Range
$154000 - $154000 CAD
Locations
- USA, United States (Remote)
Salary
154,000 - 154,000 CAD / yearly
Skills Required
- Reactintermediate
- TypeScriptintermediate
- JavaScriptintermediate
- modern component-based architecturesintermediate
- state management solutionsintermediate
- web security best practicesintermediate
- CI/CDintermediate
- testingintermediate
- monitoringintermediate
- software design patternsintermediate
- data structuresintermediate
- algorithmsintermediate
- distributed systemsintermediate
- cloud platforms (AWS, GCP)intermediate
- containerization (Docker, Kubernetes)intermediate
Required Qualifications
- 2+ years of experience in software engineering, with demonstrated ability to ship production systems (experience)
- Strong proficiency in at least one frontend framework (React, TypeScript) (experience)
- Experience building and maintaining distributed systems at scale (experience)
- Ability to independently manage complex tasks and work in unfamiliar systems with guidance (experience)
- Strong understanding of software design patterns, data structures, and algorithms (experience)
- Experience with modern development practices including CI/CD, testing, and monitoring (experience)
Preferred Qualifications
- Experience with risk, fraud detection, or financial systems (experience)
- Familiarity with machine learning models and their application in production (experience)
- Experience with real-time event processing and streaming architectures (experience)
- Knowledge of payment systems (ACH, cards, crypto) and associated fraud patterns (experience)
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes) (experience)
- Understanding of security best practices and compliance requirements (experience)
Responsibilities
- Design, scope, and build new risk detection systems and major features, applying experienced-based judgment to solve complex technical challenges
- Independently manage complex features and projects from inception to production deployment
- Turn our vision into tangible roadmaps every quarter by working with engineers, product managers, and senior leadership
- Build self-serve options to reduce friction for legitimate users while blocking fraudulent activities
- Optimize end-to-end experiences related to security protection and scam prevention
- Actively participate in PR reviews, code lifecycle management, and mentor junior engineers
- Respond to incidents of all severities and contribute to post-mortems
- Collaborate with Data Science, ML, and Risk Analysts teams to develop both proactive (models & user-facing features) and reactive (one-off rules to mitigate urgent issues) solutions
- Proactively propose novel ideas to enhance codebase, features, and architecture, promoting developer efficiency
- Build systems that accelerate the team's ability to deliver high-quality work
- Identify, propose, and implement scalable solutions that can be leveraged across the team
- Leave code cleaner than you found it and maintain high code velocity
- Implement mechanisms to identify regressions and ensure prompt visibility of emerging issues
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, and vision)
Tags & Categories