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# Senior Software Engineer - Unified Orchestration

- **Company:** Qualtrics
- **Location:** Provo, UT, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Databases, Data Infrastructure, Distributed Systems, Monitoring of Systems, TypeScript, System Availability, Large Language Models, Model Validation, Backend, Kubernetes, Data Pipelines
- **Published:** November 5, 2026
- **Apply:** https://www.adzuna.com/details/5933187935

## About the Role

* Demonstrated experience building, scaling, and operating high-throughput, high-availability backend services in distributed environments.
 * Proven track record of feature ownership or project leadership, including driving cross-functional coordination.
 * Practical operational experience with production monitoring, alerting, troubleshooting, scaling, and database technologies.
 * Experience with LLMs, model evaluation, or ML experimentation pipelines (hands-on tuning or evaluation is a plus, particularly for ML Topics).
 * Practical familiarity with tools like Go, TypeScript, Temporal, Kubernetes, or equivalent distributed systems tech stacks.

## Description

* Taking end-to-end ownership of backend features, from initial scoping and architecture through to production release and ongoing operational support.
 * Leading projects by coordinating contributors across cross-functional partners like science, product, and data platform.
 * Rigorously inspecting and reviewing agentically generated code using independent checks to ensure system safety and production readiness.
 * Leveraging operational signals, logs, and metrics to identify errors, eliminate bottlenecks, and prevent dropped documents in distributed workflows.
 * Showing high learning agility to adapt to the team's tech stack (such as Go, TypeScript, Temporal, or Kubernetes) without requiring exact prior matches.
 * Applying sound operational judgment and decisive problem-solving when handling on-call rotations, customer escalations, and SEV events.

How You'll Grow

 * Step into project leadership and feature-lead responsibilities at the senior level.
 * Build hands-on expertise in conducting model, LLM, and pipeline experiments in production alongside applied science teams.
 * Deepen your mastery of high-throughput, high-availability distributed systems and modern orchestration patterns.
 * Drive less-defined, highly innovative initiatives-such as automated topic recommendations or combining rules-based and LLM-based classification models.

Things You'll Do

 * Optimize Classification & AI ROI: Evaluate topic classification models by comparing production performance, computational cost, quality, and customer experience, then deploy winning experiments.
 * Strengthen Pipeline Architecture: Design, build, and maintain high-throughput backend workflows that seamlessly segment and route documents to various enrichment services.
 * Enhance System Observability: Implement advanced telemetry and monitoring to catch system errors early, maintain high processing throughput, and eliminate dropped documents.
 * Expand Platform Capabilities: Partner with data platform and downstream enrichment teams to integrate new document processing capabilities into the core pipeline.
 * Maintain Operational Health: Participate in the team's on-call rotation (roughly one week every six weeks) to resolve customer escalations, mitigate SEVs, and ensure continuous high availability.