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 that support reliable transaction processing and business-critical workflows.
Partner with architects, product owners, developers, and adjacent technology teams to translate business capabilities into high-quality technical solutions.
Use GenAI coding assistants to accelerate implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation—while maintaining ownership for correctness and quality.
Apply agentic workflows, prompt engineering, custom instructions, and spec-driven development practices to improve individual and team productivity.
What's Needed?
Bachelor’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience.
5+ years of professional software engineering experience developing scalable .NET, cloud-based, or web services applications that support high-volume transactions in highly available environments.
Hands-on experience designing and implementing scalable, resilient, and event-driven applications using .NET and Kafka, including distributed systems, stream processing, performance optimization, and cloud-native architectures.
Working experience with IBM MQ, Kafka, Splunk, JSON/XML, caching, performance analysis and profiling, Twelve-Factor App methodology, resiliency patterns, and observability patterns.
4+ years of experience building and deploying cloud-native applications using GCP, Docker, Kubernetes, microservices, and CI/CD practices