Job description
Duration
3 Months C2H
Location
Remote (CST)
Experience Level
12+ Years
Position Summary
We are seeking a Performance Testing Lead / Performance Architect to lead performance strategy, testing, analysis, and optimization for complex enterprise applications with heavy API, integration, and transactional workloads. This role focuses on designing realistic performance models, identifying system bottlenecks, and translating performance results into clear business impact and actionable improvements. The ideal candidate goes beyond tool-driven metrics and clearly explains what performance means in real user terms—especially during peak load, high concurrency, and write-intensive workflows.
Ideal Candidate Profile
This person is not just a tester—they are:
- A performance strategist who models realistic user behavior
- A technical problem solver who understands APIs, integrations, and system design
- A clear communicator who bridges engineering detail and business impact
- Someone comfortable challenging assumptions, simplifying complex concepts, and focusing the team on the performance issues that matter most
Key Responsibilities
- Design performance testing strategies that reflect real user behavior, peak load scenarios, and concurrency patterns, not just synthetic TPS/RPS models (e.g., save, verify, post-save flows).
- Build load models for mixed workloads, including both read and write-heavy transactions executing the same transaction simultaneously.
- Create targeted tests for worst-case scenarios, including bursts where multiple users perform end-to-end user journeys.
- Isolate and test critical high-risk workflows independently, in addition to full flows.
- Coordinate and lead the performance team and external team members (e.g., product, development, DBA, middleware, network).
- Assist in the development of project estimates and resource assignments.
- Define and maintain non-functional requirements with product and development teams.
- Deliver effective performance analysis, reporting, and presentations to stakeholders.
- Perform analysis of relationships between non-functional requirements and key performance metrics.
- Coordinate troubleshooting of infrastructure and application issues.
- Conduct root cause analysis of performance issues and bottlenecks.
- Manage defect tracking and reporting.
- Work closely with development teams to ensure timely resolution of defects.
- Develop and maintain statistical and analytical models of applications/systems.
- Mitigate risk by following established procedures and monitoring controls.
Required Experience
- Experience with AI Modelled Agents services for Performance Testing and Analysis is a plus.
- Expertise in performance analysis of distributed platforms including Linux, Windows, Azure DevOps, Azure Insights, Containers, and VMware.
- Expert in Monitoring / Observability using APM tools like Azure Insights, Dynatrace, AppDynamics, Splunk, DataDog, ELK Kibana, SPLOC, Open Telemetry, Grafana, Prometheus.
- Substantial knowledge of functionality and performance aspects of computing platforms.
- Experience in advanced statistical and analytical modeling.
- Excellent analytical skills, including:
- Data exploration, analysis, and presentation utilizing descriptive statistics and graphical techniques.
- Time series analysis and forecasting.
- Key Performance and Volume metrics relationship modeling.
- Understanding of queuing networks and simulation modeling concepts (e.g., TeamQuest, Metron-Athenee, HyPerformix, BMC).
- Expertise in load testing tools such as JMeter, LoadRunner, etc.
- Experience in scripting (Perl, Unix shell, Python, Terraform, Chef, Jenkins).
- Experience using JMS/IBM-MQ messaging systems.
- Understanding of RESTful web services, JSON, and XML.
- Experience in RDBMS, DBMS, SQL, and NoSQL.
- Experience working with Azure services (Azure DevOps, Azure Apps, Azure Insights, Virtual Machine, Service Bus, Kubernetes Services, etc.).
- Experience with CI/CD pipeline implementations.
- Experience working with Agile/Scrum teams.