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 podcastOn the Moveto hear expert insights on issues affecting global mobility, and read about thelatest newsin the industry.  You can also follow us onLinkedInandInstagram.

About Vialto Labs (VLabs)

Vialto Labs (VLabs)is responsible forredesigning how work is delivered in the tax and immigration service lines, as well as driving operational efficiency acrossVialto’sfunctional areas using AI. The team builds and deploys novel AI-enabled solutions that directly improve productivity and increase delivery quality for our clients.VLabsis 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,VLabsworks alongside serviceline,product, and platform leaders.

About the Role

The Performance Test Engineeris responsible fordesigning, building, and executing performance testing strategies for AI-enabled platforms and integrated enterprise workflows.This is ahands-onrole 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 risksareidentifiedearly and addressed prior to release.

Successis definedby the ability to produce actionable insights, supportreleasegating 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 andvalidatenon-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 whererequiredin partnership with DevOps teams

  
  
  

AI-Aware Performance Modeling

• Incorporate variability in AIcomponentresponse times into performance models andtestscenarios

  
  
  

• Define andvalidatetimeout thresholds and acceptable performance ranges for AI endpoints

  
  
  

• Identifyand 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

• Testperformance 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

  
  
  

• Identifybottlenecks 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 wherefeasibleto 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 acrossVLabs

  
  
  

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 milestonesign-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 AWSCloudwatch

  
  
  

• Proventrack recordbuilding performance testing frameworks from scratch for complex, integrated systems

  
  
  

• Experience with distributed, event-driven, or microservices-basedarchitecture

  
  
  

• Experienceoperatingin 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 tooperateindependently 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 communicationskills 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:

• This job is based in our Bangalore office with the possibility of hybrid work mode

  
  
  

• 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