Senior Software Engineer

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

• Apply advanced knowledge of software engineering principles, including object-oriented design, domain driven design, and distributed systems architecture, to design and deliver scalable, resilient, and maintainable applications.
• Design and implement cloud native solutions using Microsoft Azure, including App Services, Functions, Service Bus, Event Grid, and containerized workloads, ensuring high availability and fault tolerance.
• Ensure applications satisfy both functional and non-functional requirements, including performance, scalability, security, and reliability, through rigorous testing strategies, code reviews, and adherence to defined quality standards.
• Write high quality, performant, and secure code in C# and .NET, conforming to established architectural patterns, secure coding practices, and enterprise engineering standards.
• Lead the design and development of RESTful APIs, microservices, and event driven architectures, ensuring proper versioning, backward compatibility, and contract integrity.
• Develop and increase relational and non-relational data models using SQL Server and other data platforms, ensuring data integrity, performance efficiency, and scalability.
• Guide CI/CD implementation using Azure DevOps or equivalent tooling, including automated builds, testing pipelines, infrastructure as code, and deployment strategies.
• Mentor and coach engineers on architectural patterns, coding standards, testing strategies, and engineering best practices, thereby elevating overall team capability and code quality.
• Conduct thorough code reviews with a focus on maintainability, performance, security, and understanding of architectural standards.
• Ensure compliance with security standards, regulatory requirements, and internal governance policies, in handling sensitive or regulated data.
• You will report to an Engineering Manager

• Bachelor's in computers or Master's preferred
• You need to have 7+ years of professional .NET development and architectural experience
• You need to have 2+ years of Azure cloud experience
• Experience with C#, .NET Framework, .NET Core
• Experience with MS SQL Server, T-SQL, Relational Database Design
• Experience with Frontend technologies (HTML, CSS, JavaScript, Angular, ReactJS)
• Experience with Azure Cloud Solutions (IaaS, SaaS, PaaS)
• Experience with Azure Entra, App Services, Azure Functions, APIM, Azure SQL.
• Experience with agentic AI tools (GitHub Copilot, Cursor, Claude) and spec-driven agentic development.
• Experience with API development and integrations.
• Experience with SSIS, ETL, Azure Data Factory
• Experience of common Architectural Patterns and Cloud Native development
• Experience with Azure DevOps CI/CD pipelines
• Experience with Microservices Architecture, Docker, Containers
• Experience with Entity Framework or other ORM
• Hands-on experience with an AI-Driven Development Lifecycle (AI-DLC): writing specs and acceptance criteria that agents can execute against, maintaining agent context and instruction files, and reviewing and validating AI-generated code to team standards.
• Experience building GenAI features in .NET using Azure OpenAI or Azure AI Foundry, including prompt engineering, RAG with Azure AI Search, and Semantic Kernel or similar orchestration.
• Experience using AI assistants for test generation, code review, refactoring and documentation, with judgement on when AI output needs human verification.
• Familiarity with MCP servers and tool integrations that let agents work with internal APIs, databases, and pipelines.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Global Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why.

Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Benefits

Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here