Staff Software Development Engineer in Test - Performance Focus
Alteryx · Bangalore, India
About this role
Alteryx is hiring a staff-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 10+ years of relevant work.
- Role
- QA Engineer
- Function
- software engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Bangalore, India
- Work mode
- Hybrid
- Experience
- 10+ years
- Posted
- Jul 2, 2026
Job description
from Alteryx careersMeet 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.
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 performance testing or QA execution role. This is a platform engineering role focused on frameworks, automation, observability, CI/CD integration, and agentic AI workflows.
What You’ll Do
- Design and build an agentic, AI-first self-service performance platform for developers.
- Build reusable tools, templates, SDKs, commands, and workflows for API, UI, service, and code performance testing.
- Integrate performance checks into CI/CD pipelines and developer workflows.
- Build AI-assisted workflows for:
- performance risk assessment, test creation, test execution, result analysis, root cause grouping, Jira defect creation, service-team notification.
- Support performance validation for Critical User Journeys, high-risk releases, and scale events.
- Standardise performance test inputs, outputs, thresholds, evidence, and reporting.
- Integrate with observability systems such as Datadog, logs, traces, dashboards, and reporting tools.
- Partner with product engineering, SRE, platform, QA, and architecture teams.
- Mentor engineers and help teams adopt self-service performance practices.
What We’re Looking For
- 10+ years of professional software engineering experience.
- 5+ years building developer platforms, frameworks, internal tools, CI/CD systems, performance tooling, or cloud-native automation.
- Strong software engineering experience in Python, TypeScript, Go, or similar languages.
- Experience building developer platforms, frameworks, internal tools, automation, or CI/CD systems.
- Strong understanding of APIs, distributed systems, cloud services, and service-to-service interactions.
- Experience with performance testing concepts such as load, spike, soak, stress, capacity, and regression testing.
- Experience with observability using metrics, logs, traces, dashboards, and alerts.
- Ability to design simple, reusable workflows that developers can adopt easily.
- Strong cross-functional communication and technical leadership.
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 with minimal manual support.
- Performance checks are part of normal development and CI/CD workflows.
- AI-assisted workflows help teams generate tests, analyse failures, and create actionable defects.
- Performance results are consistent, observable, and easy to act on.
- 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 move from manual, centralised performance testing to 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.