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. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the microphone and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.

Systems Engineer I

Why We Have This Role

As a Systems Engineer I on the Observability Infrastructure team, you will design, build, and operate the critical services that connect cause and effect across the entire company. Your work empowers every engineer at Qualtrics to understand system status, correlate internal telemetry directly with customer impact and significantly reduce Mean Time to Resolution (MTTR). Working closely with cross-functional partners across infrastructure, security, and application engineering, you will optimize observability tooling to speed up time-to-resolution when issues occur. You'll solve complex, high-throughput data challenges in a collaborative, direct, and non-bureaucratic environment.

How You’ll Find Success

Deep Technical Curiosity: Demonstrates hands-on knowledge of Linux systems, telemetry data streams, and modern observability tooling, driven by a desire to understand complex systems.
Customer-Obsessed Collaboration: Listens closely to internal engineering teams to build intuitive visibility platforms that turn raw operational data into actionable insights.
Automate Everything Mindset: Leverages Infrastructure-as-Code (Terraform, CloudFormation, Ansible) to eliminate operational toil and maintain reliable, self-healing telemetry pipelines.
Scalable & Rigorous Design: Thinks critically about system boundaries, designing visibility tooling capable of processing high-volume operational metrics without compromising performance.
Reliability & Observability Advocate: Applies strong analytical skills to configure robust monitoring, tracing, and log aggregation (Prometheus, Grafana, Clickhouse/Splunk) to diagnose and resolve production issues quickly.

How You’ll Grow

Gain deep expertise in enterprise observability architectures, learning how to collect, correlate, and visualize data from thousands of microservices at scale.
Develop end-to-end system design skills in a high-growth, agile setting, learning how to engineer for global availability and high-throughput data streams.
Accelerate your career through rigorous design reviews, mentorship from senior engineers, and exposure to cutting-edge cloud infrastructure.

Things You’ll Do

Accelerate incident resolution and improve system availability by building and maintaining platform-wide observability tools that correlate technical metrics directly with customer impact.
Reduce operational toil and developer friction by designing automated IaC modules, reusable telemetry components, and standardized monitoring frameworks.
Modernize infrastructure visibility by helping define standards for container orchestration telemetry, service mesh observability, and distributed tracing.
Drive platform availability by ramping up into an independent primary on-call rotation-following structured onboarding, runbook drills, and shadowing-and implementing reliability fixes identified in blameless post-mortems.
Build robust data and platform pipelines using Go, Python, or Bash to automate observability workflows and ensure smooth service scaling.