Senior .NET Engineer (Payment Platform)

Fintech & AI-assisted | Remote | Full-time

Our client is building a high-load payment platform that processes thousands of transactions around the clock.

Their engineering challenges are far beyond typical CRUD applications. They build distributed systems where reliability, scalability, performance, and fault tolerance are critical. The platform is designed around an event-driven architecture using .NET 9, Kafka, PostgreSQL, Redis, and Docker.

If you're excited by solving complex backend problems and building systems that must never fail, we'd love to talk.

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  Build and evolve the core of our payment platform.

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  Design new services and payment provider integrations from architecture to production.

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  Improve transaction processing, routing, and webhook infrastructure.

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  Participate in architectural decisions and technical discussions.

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  Review code, share knowledge, and help maintain a high engineering standard.

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  Work closely with our Connector team (Python / TypeScript).

• Strong .NET expertise

• Deep knowledge of C# and .NET 8/9.

• Solid experience with ASP.NET Core.

• Strong understanding of asynchronous programming.

• Experience building highly concurrent applications.

• Production experience with Minimal API, Hosted Services and Dependency Injection.

• Experience building distributed systems

• event-driven architecture;

• idempotency;

• Inbox / Outbox pattern;

• reliable message delivery;

• microservices;

• distributed transactions.

• Apache Kafka

• consumer groups;

• at-least-once delivery;

• manual offset commits;

• idempotent consumers.

• Databases & Caching

• PostgreSQL;

• Dapper;

• SQL performance optimization;

• Redis / Valkey;

• caching strategies;

• Sentinel or Redis Cluster.

• Infrastructure

• Docker;

• container orchestration (Docker Swarm or Kubernetes);

• production deployments.

• FinTech experience

• payment platforms;

• PayIn / PayOut flows;

• webhooks;

• callbacks;

• payment routing;

• cascade retry;

• HMAC signatures;

• replay attack protection;

• PCI DSS requirements.

• Engineering mindset.

• unit and integration testing;

• structured logging;

• metrics;

• distributed tracing;

• observability.

• AI-assisted development

• AI is part of our engineering workflow.

We expect engineers to confidently use tools like Cursor, Claude Code, GitHub Copilot or similar while maintaining full ownership of the produced code.

• Lua / LuaJIT

• OpenAPI-first development

• openapi-generator

• Python or TypeScript

• Git Submodules

• Dynamic configuration through event buses

.NET 9 • ASP.NET Core • Kafka • PostgreSQL • Redis • Dapper • Docker • Event-driven Architecture • Microservices • OpenAPI • AI-assisted Development