11 дней назад
Software Engineer II (.NET/C#)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer II (.NET/C#) (.NET/C#, Azure): Building and enhancing distributed web applications, RESTful APIs, integrations, and interconnected system solutions with an accent on secure coding, testing, and cloud services. Focus on designing microservices architectures, debugging and refactoring code, implementing CI/CD workflows, and integrating third-party and AI/ML services.
Location: On-site at the Toronto office in Canada
Company
develops interconnected software solutions and technologies for expense management and corporate travel.
What you will do
- Develop new features and enhancements for distributed web applications with minimal supervision.
- Design, build, and consume RESTful services, APIs, and third-party integrations.
- Fix moderately complex bugs, debug systems, and deliver medium-level refactoring.
- Implement unit and integration testing and contribute to secure software development practices.
- Review code, prepare technical documentation, and present technical knowledge to the team.
- Participate in Agile planning, peer reviews, release preparation, estimation, and prioritization.
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent experience.
- At least 4 years of software engineering experience, including 2+ years in distributed web application development.
- Strong hands-on experience with C# and .NET/.NET Core, including RESTful services and APIs.
- Experience with Azure or an equivalent cloud provider, Git, CI/CD pipelines, deployment methodologies, and Agile development.
- Knowledge of relational databases, microservices, APIs, queues, topics, caches, containers, serverless systems, and integration architectures.
- Must be legally allowed to work in Canada for any employer; this role is not sponsorship eligible.
Nice to have
- Experience in corporate travel, booking engines, or expense management platforms.
- Experience using AI coding assistants, models, or developer workflow tools.
- Experience with data processing, data engineering, or AI/ML service integrations.
- Exposure to Docker or Kubernetes.
Culture & Benefits
- Professional, open office environment.
- Access to experienced engineering professionals and opportunities to develop technical expertise.
- Work within an Agile software development environment.
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