Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая специализация на senior backend-разработке и современный стек C#/.NET с AWS делают вакансию привлекательной, но обязательные четыре дня в офисе снижают гибкость.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer-C# (AI): Building and maintaining scalable enterprise applications, APIs, and microservices for investment research and technology platforms with an accent on C#, .NET, AWS, and software quality. Focus on architecting highly available systems, evaluating AI-generated code, and solving security, scalability, transaction management, and concurrency challenges.
Location: Toronto, Canada; hybrid work with four days in-office each week in most locations
Base salary: $93,200–$136,696; annual incentive target: 12.5%
Company
hirify.global develops investment research and technology platforms supported by enterprise software and data-driven products.
What you will do
Design, build, and maintain stable, scalable enterprise applications, APIs, and microservices.
Develop backend solutions using C#, .NET, AWS, and modern software engineering practices.
Apply continuous integration, test-driven development, regular deployments, and software design best practices.
Collaborate with Product Managers, QA, Project Managers, and developers to deliver high-quality solutions.
Identify improvement opportunities, evaluate new technologies, and contribute to product vision.
Take ownership of team outcomes and pursue or maintain AWS developer certification.
Requirements
Bachelor’s degree in computer science or a related software development field and 5+ years of experience.
Advanced knowledge of C# and the Microsoft .NET stack, including Entity Framework and LINQ.
Experience with Web APIs, MVC, dependency injection, asynchronous programming, and REST APIs.
Experience with SQL Server, AWS Aurora, MySQL, PostgreSQL, NoSQL databases, and Python.
Demonstrated ability to use AI tools responsibly for code generation, refactoring, unit tests, documentation, debugging, and software design while maintaining engineering judgment and code ownership.
Ability to critically evaluate AI-generated code for correctness, security, performance, maintainability, and compliance with development standards.
Knowledge of enterprise software concerns including security, scalability, transaction management, and concurrency.
Experience architecting and building microservice solutions hosted on AWS.
Understanding of common software security vulnerabilities, DevOps practices, object-oriented design, domain modeling, design patterns, and highly scalable and available systems; exposure to tools such as Harness.
Culture & Benefits
Hybrid work requires regular in-person collaboration; in most locations, the model is four days in-office each week.
Benefits are available to support flexibility as needs change.
Tools and resources support meaningful collaboration with global colleagues.
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