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Senior Software Engineer Full Stack .NET / React, Cloud Native & AI (Payments / Banking)
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
1 week ago
DockerMicroservicesNode.jsAWSSOC 2AgileAzureC#.NETASP.NETGoogle CloudHelmJavaKubernetesLLMPythonRailsReactTerraformTypeScript
Job Description
About the opportunity
Our client builds secure, scalable payments and banking products on the cloud. They are hiring a Senior Software Engineer to work across the stack, from event-driven .NET services and AI-powered features to modern React front ends. AI coding tools are a core part of how the team delivers, and you will help shape how they are used safely in money and security paths.
What you'll do
- Own features end to end, from design and development through testing, release and production support
- Build distributed, event-driven back-end services and integrations with banking and third-party systems
- Build AI-powered features, including agents, multi-step workflows and RAG applications
- Deploy and run containerized services on Kubernetes
- Build CI/CD pipelines and infrastructure as code
- Use AI coding tools to deliver faster while keeping quality and security high
- Review code, mentor other engineers and help grow the team
What you'll bring
- 7+ years of professional software engineering, delivering and supporting production systems
- Strong hands-on C# / .NET (ASP.NET Core) and React with TypeScript
- Experience in payments or banking technology, such as core banking APIs, payment rails, ledgers or reconciliation
- Expertise building distributed, event-driven applications
- Working proficiency in at least one other back-end language: Java, Python or Node.js
- Cloud-native microservices on Azure (preferred), AWS or Google Cloud Platform, using Docker, Kubernetes, Helm and Terraform
- Secure, observable applications with CI/CD, log aggregation, monitoring and alerting
- Agile delivery and Test-Driven Development
- Daily use of AI coding assistants and agents (Claude Code, GitHub Copilot, Cursor), with the judgment to review and harden AI-generated code
- AI application development: LLM APIs (prompt engineering, structured outputs, tool calling), agents and multi-step workflows, RAG (embeddings, vector search), and evaluating AI quality, cost and safety
Nice to have
- Microservices design with Domain-Driven Design
- Target-state architecture for greenfield products and legacy modernization
- Designing for scalability, resilience and high availability
- ISO 20022, ACH/NACHA, wires, or core banking vendors (CSI, Fiserv, FIS, Jack Henry)
- Regulated environments (SOC 2, audit and security controls)
- Serverless development
- Azure, AWS or Google Cloud Platform developer, architect or AI certification
How to apply
Please submit your resume as a PDF file. Applications with resumes in other formats may not be considered.
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