Performance Test Engineer - Senior Manager
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AI Summary
Company description:
Vialto Partners is a market leader in global mobility services. Our purpose is to ‘Connect the world’. We are unique and the only stand-alone global mobility business. This presents a rare opportunity for our clients, stakeholders and colleagues.
Our teams help companies streamline and effectively manage their global mobility programs in a cost-efficient and compliant manner. Our services focus on providing cross-border compliance and risk assessment for tax, immigration, business travel, rewards and compensation, and remote work.
Working at Vialto Partners is about getting the chance to be part of a global and dynamic team. Globally, Vialto Partners has over 6,500 staff in over 50 countries around the world and continues to grow. You will work with clients from a range of industries and different geographical locations. We believe in connecting the world and supporting our colleagues to do the same in their careers by undertaking assignments and opportunities globally that broaden their skills and ultimately benefit our clients.
Vialto is unstoppable when we work together in a culture of belonging, where everyone can thrive. We encourage employees to bring their true selves and share their unique talents and expertise to positively impact the communities we serve.
To learn more about what we do, tune in to our podcast On the Move to hear expert insights on issues affecting global mobility, and read about the latest news in the industry. You can also follow us on LinkedIn and Instagram.
About Vialto Labs (VLabs)
Vialto Labs (VLabs) is responsible for redesigning how work is delivered in the tax and immigration service lines, as well as driving operational efficiency across Vialto’s functional areas using AI. The team builds and deploys novel AI-enabled solutions that directly improve productivity and increase delivery quality for our clients. VLabs is accountable for rapidly turning innovative experiments into production-ready deliverables at scale and embedding them into day-to-day operations. This team focuses on the highest-impact workflows, creating standardized, repeatable capabilities that can be deployed globally. Operating with a mandate for speed and measurable outcomes, VLabs works alongside service line, product, and platform leaders.
About the Role
The Performance Test Engineer is responsible for designing, building, and executing performance testing strategies for AI-enabled platforms and integrated enterprise workflows. This is a hands-on role that owns the full non-functional testing lifecycle, from load model design through execution and reporting. The role ensures systems meet defined performance thresholds, scalability requirements, and production readiness standards.
Given the presence of AI components such as OCR, vision language models, and LLM inference, this role requires designing performance models that account for variability in response times and non-deterministic behavior. The role works closely with AI Test Engineering, product, and DevOps teams to ensure performance risks are identified early and addressed prior to release.
Success is defined by the ability to produce actionable insights, support release gating decisions, and ensure systems can scale reliably under real-world conditions.
Key Responsibilities
Performance Test Strategy & Design
Own the end-to-end performance testing lifecycle, from test strategy through execution and reporting
Design load models based on real usage patterns and program volume data rather than synthetic assumptions
Define and validate non-functional requirements including response times, throughput, concurrency, and system stability
Load & Stress Testing Execution
Build and execute JMeter-based load and stress test scripts from scratch across API, UI, and integrated workflows
Simulate concurrent sessions, transaction throughput, and end-to-end processing flows
Configure and execute distributed testing where required in partnership with DevOps teams
AI-Aware Performance Modeling
Incorporate variability in AI component response times into performance models and test scenarios
Define and validate timeout thresholds and acceptable performance ranges for AI endpoints
Identify and isolate the impact of AI components on overall system performance and SLAs
Monitor costs and token consumption plus related impact
Integration & End-to-End Validation
Test performance across multi-step, AI-integrated workflows including document processing, event pipelines, and trigger-based systems
Evaluate system behavior across upstream and downstream dependencies in distributed architectures
Identify bottlenecks across services and clearly attribute root causes
Reporting & Release Readiness
Produce clear, concise performance reports including baseline metrics, SLA adherence, bottlenecks, and risk areas
Translate technical findings into actionable insights for engineering, product, and business stakeholders
Support release gating decisions by highlighting performance risks and mitigation strategies
Automation & Continuous Testing
Integrate performance testing into CI/CD pipelines where feasible to support continuous validation
Contribute to API contract testing using Postman/Newman as part of broader QE efforts
Support ongoing performance regression monitoring across releases
Standardization & Scaling
Develop reusable performance testing frameworks and standardized load testing patterns
Contribute to enterprise-level performance testing standards and best practices across VLabs
Governance & Risk Management
Log and manage non-functional defects in ADO with clear reproducibility and impact analysis
Ensure alignment with security, scalability, and reliability standards
Support auditability and traceability of performance testing results tied to milestone sign-offs
Qualifications & Experience
Professional Experience
4+ years in performance testing, including experience leading non-functional testing efforts within delivery programs
Demonstrated experience working with AI-enabled systems including GenAI, LLMs, or agentic workflows
Experience with Locust, Grafana, OpenTelemetry, Datadog or Dynatrace
Experience with Postman for API profiling and AWS Cloudwatch
Proven track record building performance testing frameworks from scratch for complex, integrated systems
Experience with distributed, event-driven, or microservices-based architecture
Experience operating in sprint-based, iterative delivery environments
Background in regulated or compliance-driven industries preferred
Technical Expertise
JMeter:
Advanced scripting including thread groups, samplers, timers, assertions, and distributed execution
Analysis of throughput, error rates, and percentile response times with clear reporting outputs
Postman / Newman:
API contract testing and CI/CD integration for regression validation
SQL / Python:
Data validation under load, scripting for load modeling, and test data preparation
Performance Monitoring Tools:
Experience with tools such as Azure Monitor, Application Insights, or similar
Additional Tools:
Familiarity with k6, Gatling, or similar performance testing tools
Use of Chrome DevTools / HAR files for script generation and traffic analysis
Experience simulating authentication models such as OAuth2 or API key-based sessions
Operating Capabilities
Ability to operate independently and own performance testing outcomes end-to-end
Strong analytical mindset with ability to diagnose complex system bottlenecks
Ability to balance rigor with speed in fast-paced delivery environments
Strong communication skills to translate technical performance insights into business impact
Collaborative approach working across engineering, AI, and DevOps teams
Education
Bachelor’s degree required
Advanced degree in Computer Science, Data Science, or related field preferred.
Additional Information
Location: India - Remote
We are an equal opportunity employer that does not discriminate on the basis of any legally protected status.
Please note, AI is used as part of the application process.
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