CareerPlan

Gen AI Developer with C# .NET

USAFull-time$120k–$160k2026-11-02 → 2026-11-09
Hybrid

Core

Design and implement scalable, resilient, event-driven .NET applications and modernize legacy systems using GenAI-assisted workflows in a financial services environment.

Role type

Senior IC .NET Gen AI Developer

Builds

High-volume transaction processing services, APIs, and distributed application capabilities

Domain

Financial services / Cloud-native distributed systems

Deliverable

production ML models

Required skills

.NET, Kafka, GCP, Docker, Kubernetes, microservices, CI/CD, MongoDB, PostgreSQL, NoSQL, GenAI coding assistants, agentic workflows, prompt engineering, spec-driven development, performance optimization, observability, resiliency patterns

Preferred skills

Test Driven Development, Behavior Driven Development, QA automation, architecture diagramming, performance engineering, mentoring peers

Technologies

AWS, Atlassian, CI/CD, Claude Code, Cloud, Copilot, Confluence, Docker, GCP, GitHub, IBM, JIRA, JSON, Kafka, Kubernetes, MongoDB, NoSQL, PostgreSQL, Splunk, Web, XML, microservices, TDD, ASP.NET

Responsibilities

Design and implement scalable, resilient, event-driven applications using .NET, Kafka, and cloud-native architecture patterns. Build and modernize high-volume services, APIs, and distributed application capabilities for reliable transaction processing. Apply GenAI coding assistants to implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation. Use agentic workflows, prompt engineering, custom instructions, and spec-driven development to improve productivity. Improve engineering quality through automated testing, disciplined code reviews, performance analysis, observability, resiliency practices, and production readiness. Support modernization by moving legacy capabilities toward distributed .NET services, cloud-native platforms, event-driven architecture, and modern data stores. Collaborate with engineers and help establish repeatable, responsible AI-assisted development practices.

Seniority

Senior, hands-on IC