.NET Software Engineer - AI-Driven Cloud & Microservices

broadridge

United Kingdom

On-site

GBP 65,000 - 90,000

Full time

4 days ago

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Job summary

Broadridge is seeking a .NET Software Engineer to design, build, and support our core platform. You will work on backend services, APIs, data access, integrations, and some UI components in a cloud-based, event-driven setup.

Our stack includes C#, .NET, PostgreSQL, AWS, Blazor, and MudBlazor across Lambda, ECS, and EC2. You will help build distributed systems, improve engineering practices, and responsibly use AI-assisted tools in day-to-day development while collaborating in a practical,

Qualifications

3+ years of experience as a Software Engineer building production applications in C#/.NET.
Experience building backend services and APIs.
Experience with event-driven systems, asynchronous messaging patterns, or service-based architectures.
Understanding of RESTful APIs and service-to-service communication.
Experience with relational databases, preferably PostgreSQL.
Understanding of automated tests and good software quality practices.
Experience using source control and collaborating through code review practices.
Ability to work from technical documentation and break development work into clear technical tasks.
Practical experience using AI-assisted development tools as part of day-to-day engineering work.
Good written and verbal communication skills.
Comfortable in a pragmatic delivery environment that uses agile principles.

Responsibilities

Design, build, test, deploy, and maintain secure, reliable software.
Develop and support .NET services and APIs within an event-driven microservices architecture.
Contribute to integrations between systems using APIs and events.
Work with PostgreSQL and data access patterns to deliver scalable, supportable solutions.
Support applications and services hosted in AWS, including Lambda, ECS, and EC2.
Contribute to UI development in Blazor and MudBlazor where needed.
Break down requirements and solution designs into clear technical tasks.
Participate in estimation, planning, and technical discussions.
Take part in peer reviews and contribute to shared coding standards and quality practices.
Write automated tests and help improve software quality and reliability.
Troubleshoot defects, investigate incidents, and support production issues when needed.
Create and maintain clear technical documentation.
Use approved AI-assisted development tools responsibly and in line with engineering, security, and quality standards.