8 дней назад
Software Engineer (AI)
110 000 - 135 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI): Building scalable systems that generate fraud signals and process identity data at scale with an accent on distributed architectures, performance, reliability, and automated testing. Focus on designing microservices and modular front-end platforms, addressing scalability bottlenecks, and integrating validated AI-assisted development into production engineering workflows.
Location: Vancouver, Canada; hybrid with 3 days per week in the office
Salary: CA$110,000–CA$135,000 per year
Company
provides a digital identity verification platform that helps organizations onboard customers, manage risk, combat fraud, and process identity data globally.
What you will do
- Design, develop, and maintain scalable software for the Fraud & Risk team.
- Build systems that generate fraud signals and process identity data within big data infrastructure.
- Collaborate with Product, DevOps, QA, and engineering teams to deliver technical solutions.
- Design reusable architectures and contribute to implementation from concept through deployment.
- Identify technical debt, performance bottlenecks, and scalability challenges.
- Use AI-assisted tools to draft, refactor, and review code while validating outputs against requirements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 5+ years of software engineering experience developing enterprise-grade applications.
- Deep experience with C#, .NET Framework, or Java/Spring Boot.
- Experience with MySQL, NoSQL databases, schema design, microservices, and distributed systems.
- Experience with React, Bootstrap, Material UI, CSS, and microfrontend architecture.
- Strong knowledge of testing automation, network protocols, security standards, Git, and agile methodologies.
Nice to have
- Familiarity with AWS ECS, Athena, and Lambda.
- Experience with OpenSearch or Elasticsearch, including index mappings and query optimization.
- Experience with Docker, Kubernetes, and cloud-native technologies.
- Knowledge of OAuth2 authentication and authorization protocols.
Culture & Benefits
- Hybrid work environment with collaboration-focused offices and regular social events.
- Health, dental, and vision coverage, retirement plans with company match, paid time off, and parental leave for eligible full-time permanent employees.
- Annual education and training stipend equivalent to $1,000 in local currency.
- Wellness workshops, events, and a Headspace subscription.
- Employee resource groups supporting inclusion and community.
Hiring process
- 30-minute recruiter interview.
- 45-minute hiring manager interview followed by a 60-minute panel or assignment.
- 30-minute final leadership interview.
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