About Sutherland
Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.
We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland
Unlocking digital performance. Delivering measurable results.
Role summary
We are looking for a Performance Engineer to design and execute performance testing across web applications, BI workloads, and ETL/data models in a SAFe environment. The role requires strong hands-on experience with Apache JMeter, JavaScript/TypeScript, Python, and Playwright for custom web, BI, and ETL performance scripting. Azure DevOps pipeline experience is required. Ability to learn quickly is essential. Hands-on use of GitHub Copilot is needed; familiarity with MCP is a plus.
Responsibilities
- Design, execute, and analyze performance tests for web apps, BI reports/dashboards, and ETL/data models — JMeter (load, stress, soak, spike) for web, and custom Playwright/Python scripts for BI and ETL — and convert SLAs into measurable thresholds.
- Validate ETL pipeline and data-model performance — job runtime, data volume handling, transformation throughput, and downstream reporting impact.
- Assess BI performance — report/dashboard load times, query response, concurrent user load, and refresh/batch windows.
- Integrate performance tests into Azure DevOps pipelines with automated quality gates, reporting, and release readiness checks.
- Identify bottlenecks, publish clear findings, and work with development, QA, data, and operations teams.
- Participate in SAFe ceremonies (PI Planning, Sprint Planning, System Demo, Inspect & Adapt) and deliver against iteration/PI goals.
- Use GitHub Copilot (and MCP where available) to accelerate scripting, analysis, and documentation.
Required skills
- 4–8 years in performance engineering or test automation with a strong performance focus.
- Strong JMeter experience: test plans, correlation, parameterization, assertions, distributed execution, and result analysis.
- Playwright + JavaScript/TypeScript and Python for custom client-side, BI, and ETL performance scripting.
- Experience performance-testing web applications, BI tools, and ETL/data models.
- Azure DevOps experience: pipelines, CI/CD, test execution, and reporting.
- Working knowledge of SAFe and ability to operate in Agile Release Trains.
- Solid understanding of HTTP/APIs, data flows, and core performance metrics (latency, throughput, error rate, concurrency, job duration).
- Practical experience with GitHub Copilot; familiarity with MCP is a plus.
- Strong communication, root-cause analysis, and fast learning ability.
Nice to have
- Deeper ETL / data pipeline background.
- BI tools such as Power BI, Tableau, Cognos, or similar.
- k6, Grafana, Datadog, Application Insights, or other observability tools.
- Cloud experience (Azure preferred).
Education
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Additional InformationAll your information will be kept confidential according to EEO guidelines.
Skills Required
- 4-8 years of experience in performance engineering or test automation with a strong performance focus
- Strong Apache JMeter experience, including test plans, correlation, parameterization, assertions, distributed execution, and result analysis
- Experience with Playwright, JavaScript or TypeScript, and Python for performance scripting
- Performance-testing experience with web applications, BI tools, and ETL/data models
- Azure DevOps experience with pipelines, CI/CD, test execution, and reporting
- Working knowledge of SAFe and experience operating in Agile Release Trains
- Understanding of HTTP, APIs, data flows, and performance metrics including latency, throughput, error rate, concurrency, and job duration
- Practical experience with GitHub Copilot
- Strong communication, root-cause analysis, and fast learning skills
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- Deeper ETL or data pipeline background
- Experience with BI tools such as Power BI, Tableau, or Cognos
- Experience with k6, Grafana, Datadog, Application Insights, or other observability tools
- Cloud experience, preferably Azure
- Familiarity with MCP
Sutherland Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sutherland and has not been reviewed or approved by Sutherland.
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Flexible Benefits — Flexible scheduling and work-from-home arrangements are offered on certain programs, supported by remote-work infrastructure and virtual IT support. Program-specific flexibility is emphasized for “Sutherland Anywhere” roles.
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Leave & Time Off Breadth — Paid time off and paid training are positioned as standard elements, with some materials also highlighting flexible vacation days. Core leave features are presented as part of the baseline package.
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Strong & Reliable Incentives — Performance incentives, bonuses, and commissions are available on selected programs to supplement base pay. Goal-linked earnings opportunities are described for certain functions.
Sutherland Insights
What We Do
We make digital ?????™ by combining human-centered design with real-time Analytics, AI, Cognitive Technology & Automation to create exceptionally engineered Brand Experiences! Sutherland is an experience-led digital transformation company. Our mission is to deliver exceptionally engineered experiences for customers and employees today, that continue to delight tomorrow. For over 35 years, we have cared for our customers’ customers, delivering measurable results and accelerating growth. Our proprietary, AI-based products and platforms are built using robust IP and automation. We are a team of global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland. #MakeDigitalHuman
