Software Development Engineer in Test - Performance Focus

Role Overview

Alteryx is hiring a Software Engineer to help build our next-generation Performance Engineering Platform. This is an engineering role focused on frameworks, automation, observability, CI/CD integration, and agentic AI workflows, rather than traditional manual testing. You will help engineering teams test, understand, and improve performance earlier in the SDLC through developer-first, AI-assisted tooling.

Responsibilities

• Build features for an agentic, AI-first self-service performance platform.
• Develop reusable tools, templates, scripts, SDKs, and workflows for API, UI, service, and code performance testing.
• Help integrate performance checks into CI/CD pipelines and developer workflows.
• Build AI-assisted workflows for performance test creation, execution, result analysis, defect creation, and service-team notification.
• Support performance validation for Critical User Journeys, releases, and scale events.
• Help standardize performance test inputs, outputs, thresholds, evidence, and reporting.
• Integrate with observability tools such as Datadog, logs, traces, dashboards, and reporting systems.
• Work with product engineering, SRE, platform, QA, and architecture teams.
• Contribute to documentation, examples, and onboarding material for development teams.

Requirements

• 3+ years of professional software engineering experience.
• Programming experience in Python, TypeScript, Go, or similar languages.
• Understanding of APIs, distributed systems, cloud services, and service-to-service communication.
• Experience with automation, CI/CD, internal tools, or developer workflows.
• Familiarity with performance testing concepts such as load, spike, soak, stress, capacity, or regression testing.
• Familiarity with observability using metrics, logs, traces, dashboards, or alerts.
• Experience with tools such as k6, Locust, and Grasshopper.
• Experience with Datadog, OpenTelemetry, Grafana, Prometheus, or InfluxDB.
• Experience with Kubernetes, cloud-native systems, or large-scale SaaS platforms.

Nice to Have

• Experience with tools such as Playwright.
• Experience with SLOs, SLIs, Apdex, error budgets, or burn-rate alerting.
• Experience building AI agents, MCPs, AI-assisted developer tools, or agentic automation workflows.
• Experience with Jira automation, defect routing, or engineering dashboards.