Lead Performance Test Engineer

Provenir

4d•Hybrid

About The Position

Provenir is the unified Decision Intelligence Platform that gives enterprises full control over end-to-end customer decisioning — to manage risk, drive growth, and transform business outcomes. By consolidating data, AI models, intelligence, agents and governance into a single decisioning environment, Provenir empowers business teams to configure and evolve strategy directly, while maintaining enterprise-grade reliability and regulatory compliance. Trusted by 120+ institutions in 60+ countries, Provenir processes over 4 billion decisions annually — turning architectural coherence into sustained risk performance and measurable value. Ready to solve meaningful challenges, work with enterprise customers, and help shape the future of AI-powered decisioning? Join us. The Performance Test Engineer will be responsible to assure the quality of our products by performing and automating the performance tests. You will automate performance tests for microservices and their related front ends. You will also manage servers in development and production on Cloud services. As a Software Engineer in Test, you will

Requirements

A Bachelor’s Degree in Computer Science or a related field is required
7+ years of experience in Performance Engineering / Testing, and/or Tools Development teams for the Enterprise
Advanced Knowledge of performance testing concepts and the type of tests (load, endurance, stress, failover)
Proven background in performance and Non-functional requirements testing from strategy to execution
Experience in designing and executing performance testing for API, Web, and database.
Possess a good understanding of software development lifecycle and performance testing methodologies
Identifying and troubleshooting the root causes of performance issues in application, system, middleware, and database
Experience in providing recommendations to resolve bottlenecks
Background with test and server monitoring tools (e.g. Appdynamics, Jenkins, Splunk etc.)
Benchmark system performance, database performance analysis, capacity sizing and optimization.
Hands on experience on the below areas: Database (MySQL / PostgreSQL) performance engineering (Tuning, Scaling, Deployment Architecture, Query Analysis)
Java & Java script (JVM tuning, GC, heap and thread dump analysis)
OS (Performance Monitoring, troubleshooting & configuration)
System design & Architecture
Advanced JMeter (/other industry standard load testing tools) scripting
API and UI performance test tools
Strong problem-solving and analytical skills with an aptitude and passion for learning new technologies
Outstanding team player with excellent interpersonal skills

Nice To Haves

Proficiency working with web applications and cloud deployments (AWS, Azure, GCP)
Build and release management experience
Solid background with agile software development methodologies (e.g. scrum)
Experience with concurrency, multithreading, and the deployment of distributed system architectures
Understanding of database schemas, table spaces, indexing, and performance optimization techniques
Docker or Kubernetes, microservices, container deployment and service orchestration
Experience using and/or developing on a Unix/Linux platform
Adoption of AI tools to accelerate performance engineering work — e.g. using AI assistants (Claude, Copilot, etc.) to scaffold and refactor test scripts, analyse and summarize large volumes of performance metrics and logs, and rapidly form hypotheses about bottlenecks
Sound judgment in applying AI — able to critically validate AI-generated output (scripts, queries, analysis) rather than trusting it blindly, and knows where AI adds value versus where human expertise is essential
Experience performance testing AI/ML-driven and decisioning systems — understanding the non-functional characteristics of ML inference, model-serving latency, and data-intensive decisioning workloads (a plus given Porvenir’s decisioning and analytics platform)

Responsibilities

Analyze business scenarios and understand the non-functional requirements
Design the performance test strategy, test planning, test scenarios, work model and execution
Perform performance testing for applications spanning : UIs, APIs , SQL database and noSQL database
Perform Load, Scalability, and Stress testing
Monitor, analyze performance test results, interpret performance metrics, and deliver summary reports
Pinpoint and troubleshoot the performance issues and recommend solutions for performance improvement
Integrate the performance tests with the deployment pipeline to continuously evaluate the system performance (CI/CD software delivery models)
Closely collaborate with development teams to ensure deadlines are met and system performance is acceptable before production implementation
Have knowledge of full system development life cycles