Who We Are
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.
Position Overview
The Performance Test Engineer will be responsible to assure the quality of our products by performing and automating 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
Key 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
Required Qualifications
- Education: 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:
- Strong problem‑solving and analytical skills with an aptitude and passion for learning new technologies
- Outstanding team player with excellent interpersonal skills
Nice to Have
- 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, analyze 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 Provenir’s decisioning and analytics platform)
Our employees are our top priority; we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote‑friendly opportunities, and maternity/paternity leave.
At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.
