# Senior Software Engineer - Unified Orchestration

**Company**: Qualtrics
**Location**: Provo, Utah
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/qualtrics/jobs/8279091?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_02b347cf-989

## Description

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love.

As a Senior Software Engineer - Unified Orchestration, you will help run, scale, and improve high-throughput, high-availability production systems, collaborating closely with science, product, and data platform teams.

**Responsibilities**

- 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.

**Growth Opportunities**

- 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.

**Tasks**

- 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.

**Requirements**

- 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.

**Benefits**

- Global Wellness Benefit: Annual reimbursement to support your personal health and physical/mental wellness goals.

- Comprehensive Healthcare & Retirement: Premium medical, dental, vision, life insurance, and 401(k) matching packages.

- Team & Office Perks: Regular team-building offsites, quarterly events, and fully stocked snacks, drinks, and catered lunches in office locations.

- Hybrid Work Model: Gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader.

## Skills

### Required
- Go
- TypeScript
- Temporal
- Kubernetes
- LLMs
- ML experimentation pipelines

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/qualtrics/jobs/8279091?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)