About this role

Alteryx is hiring a mid-level QA Engineer in the software engineering function based in Bangalore, India (hybrid). The posting calls out experience with Python, TypeScript, Kubernetes, CI/CD and roughly 3+ years of relevant work.

Role: QA Engineer
Function: software engineering
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Bangalore, India
Work mode: Hybrid
Experience: 3+ years
Posted: Jul 2, 2026

AI Summary

Build features for an AI-first performance engineering platform, developing reusable testing tools, SDKs, and workflows for API/UI/service performance. Integrate performance checks into CI/CD pipelines and create AI-assisted workflows for test creation, execution, and analysis. Requires 3+ years software engineering experience with exposure to developer tools, automation, CI/CD, or cloud-native systems.

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Job description

from Alteryx careers

Meet the Moment with Alteryx

We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation.

You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.

If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.

We are hiring a Software Engineer to help build Alteryx’s next-generation Performance Engineering Platform.
This role is for a software engineer with 3+ years of software engineering experience, including exposure to developer tools, automation, CI/CD, performance testing, or cloud-native systems.
The goal is to help engineering teams test, understand, and improve performance earlier in the SDLC through developer-first, AI-assisted tooling.
This is not a traditional QA or manual performance testing role. This is an engineering role focused on frameworks, automation, observability, CI/CD integration, and agentic AI workflows.
Work Location : Pune (Hybrid)

What You’ll Do

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.

What We’re Looking For

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.
Ability to build simple, maintainable, and reusable software.
Good communication and collaboration skills.

Must Have

Experience with tools such as k6, Locust, and Grasshopper
Experience in Python and TypeScript.
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.

What Success Looks Like

Developers can create and run performance tests more easily.
Performance checks become part of normal development and CI/CD workflows.
AI-assisted workflows help teams generate tests, analyze failures, and create actionable defects.
Performance results are clear, consistent, and useful.
Product teams can detect regressions earlier and improve service performance faster.

Why This Role Matters
Performance is critical to customer trust. This role will help Alteryx build a scalable, AI-first, self-service performance engineering model used across engineering teams.

Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re invested in building teams with a wide variety of backgrounds, identities, and experiences.

This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.