Description

1. Proven ability to assess applications, identify resiliency gaps, and drive improvements in availability, reliability, performance, scalability, security, observability, and maintainability.
2. Hands-on experience implementing resiliency patterns including retries, circuit breakers, failover, graceful degradation, rate limiting, timeout management, and idempotency.
3. Experience leveraging AI and Agentic AI to improve engineering productivity, application resiliency, modernization, troubleshooting, and operational excellence.
4. Hands-on experience with AI Spec-Driven Development, including Spec Kit, OpenSpec/Open Specification approaches, requirements-to-code workflows, and AI-assisted software delivery.
5. Strong knowledge of Prompt Engineering and AI-assisted development, including AI-driven code generation, code reviews, test generation, documentation, and architecture analysis.
6. Strong hands-on experience in .NET development (Primary Skill), including enterprise applications, APIs, microservices, distributed systems, and modern SDLC practices.
7. Experience with observability platforms, including monitoring, telemetry, logging, alerting, dashboards, distributed tracing, and SLI/SLO-based reliability management.
8. Strong expertise in performance engineering, production troubleshooting, root cause analysis, and continuous service improvement.
9. Experience assessing legacy applications and defining modernization roadmaps focused on resiliency, observability, performance, security, and operational efficiency.
10. Experience with cloud-native architectures, Kafka or other messaging platforms, container platforms, and CI/CD pipelines.
11. Ability to translate assessments into architecture recommendations, engineering initiatives, Jira epics/stories, and implementation backlogs.
12. Strong database, analytical, troubleshooting, and problem-solving skills.
13. Ability to collaborate across architecture, engineering, platform, and operations teams to drive enterprise engineering excellence.
14. Java experience is desirable to support a mixed .NET and Java technology landscape.

Ideal Candidate Profile

• Architect with strong expertise in application resiliency, modernization, observability, and performance engineering.
• Passionate about applying AI, Agentic AI, Spec-Driven Development, Prompt Engineering, and AI-assisted development to accelerate engineering outcomes.
• Experienced in improving application reliability, scalability, observability, performance, security, and maintainability.
• Able to lead enterprise-wide assessments and drive measurable engineering improvements through architecture and modernization initiatives

Key Skills

Education

Bachelor's degree