Who are we?
At Finastra, we’re a global leader in financial services software, dedicated to expanding access to financial services and shaping what’s next for the industry. Our technology powers mission‑critical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world’s top 50 banks, in more than 110 countries.
What will you contribute?
The Senior Software Engineer designs, builds, and evolves production systems across Finastra’s lending platform—a cloud-native, Azure-hosted ecosystem serving lending origination, underwriting, compliance, and servicing workflows. This is a system-ownership role: you are responsible for the quality, scalability, and operational readiness of the software you deliver, not just the code you write.
AI-assisted development is the standard way of working on this team. You will be expected to use AI tooling daily to accelerate delivery while maintaining the engineering rigor required of enterprise financial software.
Responsibilities & Deliverables:
Design and implement production-grade services and UI features across the lending platform
Own technical decisions that balance delivery speed with long-term system health and maintainability
Build and maintain RESTful APIs, background services, and event-driven integrations.
Write clean, secure, and testable code; participate in code reviews enforcing SOLID principles, async/await correctness, and EF Core best practices
Collaborate closely with product management, UX design, and quality engineering from concept through delivery
Contribute to architectural discussions, design reviews, and technical documentation including ADRs
Mentor other engineers and raise the technical bar through code review and knowledge sharing
Other duties and projects as assigned
Technical Environment:
Back-end: C#/.NET (ASP.NET Core, Entity Framework Core), .NET 10/.NET4.8, RESTful API design, WCF
Front-end: Angular, TypeScript, Angular Material, MVC
Cloud & Infrastructure: Azure (App Service, App Insights, Redis, Azure SQL, Docker, Azure AD), Kubernetes
Data: SQL Server, LINQ, EF Core
DevOps & Tooling: CI/CD pipelines, PowerShell, Git
Required Experience:
Demonstrated professional software development experience including both architecture and implementation
Strong proficiency in C#/.NET and Angular for full-stack development
Hands-on experience designing and consuming RESTful APIs and distributed, event-driven systems
Deep understanding of secure coding practices, automated testing strategies, and CI/CD pipelines
Experience with Entity Framework Core including query optimization, change tracking, and migration management
Working knowledge of Azure cloud services
Experience in code review as both author and reviewer, with a focus on quality, security, and maintainability
Financial services or regulated-industry experience preferred
AI Fluency Expectations
This role requires daily, hands-on use of AI-assisted engineering. You are expected to:
Use GitHub Copilot (IDE and CLI) as a default part of your development workflow
Author and maintain structured context files (PRDs, design docs) that guide AI agents toward accurate output
Orchestrate AI agents to generate code, scaffold tests, review pull requests, and identify defects
Decompose complex work into planning and execution steps that AI can accelerate
Exercise strong engineering judgment over all AI-generated output—AI is treated as a junior collaborator whose work you guide, review, and refine
Embed AI into project delivery to drive productivity, automate routine activities, strengthen decision quality through trusted data, and deliver continuous process improvement while applying appropriate human judgement.
Why This Role
AI-native development is the standard, not an experiment—you will help define how modern software is built at enterprise scale
Real architectural influence on a complex, production platform with legacy bridges, multi-service Azure infrastructure,…