Senior Agentic AI Engineers/Architects – Resiliency & Observability Engineering - Dallas, TX/ Austin, TX

Role-Application Architect - AI-Led Resiliency & Modernization

Location- Dallas, TX/ Austin, TX- Onsite

The primary tech background is decided to be .Net . 

Java has become secondary / desirable skills

Program Objective
Drive AI-led resiliency capabilities and modernization initiatives to improve application reliability, observability, performance, scalability, security, and operational excellence across enterprise services.

Key Skills (Priority Order)

• Strong hands-on experience in .NET development (primary skill), including enterprise applications, microservices, APIs, and SDLC best practices.
• Experience with AI/Agentic AI, Reliability Engineering, SRE, Observability, and Production Engineering.
• Proven ability to identify resiliency gaps and drive improvements in availability, reliability, scalability, performance, and operational efficiency.
• Hands-on experience implementing resiliency patterns such as retries, timeouts, circuit breakers, failover, and idempotency.
• Strong expertise in application performance engineering, troubleshooting, root cause analysis, and production support.
• Experience with monitoring, alerting, logging, dashboards, telemetry, and service reliability metrics (SLIs/SLOs).
• Experience with cloud-native architectures, Kafka or other messaging platforms, and CI/CD pipelines.
• Ability to assess existing applications and drive modernization, maintainability, observability, security, and stability improvements.
• Experience translating assessment findings into actionable engineering initiatives, Jira stories, and implementation backlogs.
• Strong database, analytical, and problem-solving skills.

Java experience is desirable to support a mixed .NET and Java technology landscape