2 дня назад
.NET Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
.NET Software Engineer (AI): Building and supporting secure backend services, APIs, integrations, and UI components for a cloud-based, event-driven platform with an accent on C#, .NET, PostgreSQL, AWS, and Blazor. Focus on designing distributed microservices, integrating systems through APIs and events, improving reliability through automated testing, and using AI-assisted development tools responsibly.
Location: Hybrid, Cheltenham - Jessop House, United Kingdom
Company
develops and operates core software platforms and cloud-based distributed systems.
What you will do
- Design, build, test, deploy, and maintain secure and reliable software.
- Develop and support C#/.NET backend services and APIs in an event-driven microservices architecture.
- Build integrations between systems using APIs and asynchronous events.
- Work with PostgreSQL, data access patterns, and AWS services including Lambda, ECS, and EC2.
- Contribute to Blazor and MudBlazor UI components, technical planning, peer reviews, and documentation.
- Investigate defects and incidents, support production issues, and use approved AI-assisted development tools responsibly.
Requirements
- At least 3 years of experience building production applications with C# and .NET.
- Experience developing backend services, APIs, event-driven systems, asynchronous messaging, or service-based architectures.
- Understanding of RESTful APIs, service-to-service communication, relational databases, and preferably PostgreSQL.
- Knowledge of automated testing, source control, code reviews, and software quality practices.
- Ability to interpret technical documentation and break development work into clear technical tasks.
- Practical experience using AI-assisted development tools and strong written and verbal communication skills.
Nice to have
- Experience with microservices, BFF patterns, AWS, PostgreSQL in production, Blazor, or MudBlazor.
- Familiarity with CI/CD pipelines, Docker, observability, logging, and monitoring in distributed systems.
- Exposure to tools such as GitHub Copilot, secure coding, and resilient application development.
Culture & Benefits
- Collaborative, inclusive, and practical engineering environment.
- Agile-inspired delivery without a strict framework.
- Peer collaboration and shared coding standards.
- Workplace focused on inclusion, psychological safety, and respect for individual perspectives.
Hiring process
- Applications may be reviewed with AI-assisted tools, with final employment decisions subject to human review.
- Applicants must provide accurate and transparent information throughout the process.
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