Performance Test Architect- Noida, India

Our Context At NeoXam, we are looking for a Performance Test Architect to build and lead our performance engineering practice from the ground up. You will own the end-to-end performance strategy for the ARO platform — from designing the test lab infrastructure and crafting benchmarking frameworks to embedding performance validation into our CI/CD pipelines. This is a high-impact, hands-on leadership role where you will shape how we measure, optimize, and guarantee the performance of a complex distributed system under real-world capital markets workloads. Required Qualifications 10+ years of hands-on experience in performance testing and engineering for large-scale, distributed enterprise applications Deep expertise with load testing tools: JMeter, Gatling, and/or k6 — including scripting complex scenarios, correlation, parameterization, and custom plugins Strong experience with Kubernetes and Docker: understanding of pod scheduling, resource limits, HPA/VPA, and their impact on application performance Proven track record of building performance test frameworks integrated into CI/CD pipelines (Jenkins, GitLab CI, or GitHub Actions) Hands-on experience with monitoring and observability stacks: Grafana, Prometheus, ELK (Elasticsearch, Logstash, Kibana), or similar APM tools Solid understanding of database performance: SQL tuning, indexing strategies, connection pooling, and behavior under concurrent load (PostgreSQL, Oracle, or SQL Server preferred) Experience with message queue systems (RabbitMQ, Kafka, or ActiveMQ) and API performance testing (REST/gRPC) Proficiency in at least one programming language (Java, Python, or Go) for scripting, tooling, and automation Experience leading or mentoring a team of 2+ engineers in performance testing or related disciplines Preferred Qualifications Domain experience in capital markets, financial services back-office operations, or reconciliation systems Experience performance testing shared-database architectures with multiple concurrent services Familiarity with Infrastructure-as-Code (Terraform, Ansible) and GitOps practices Experience with chaos engineering tools (Litmus, Chaos Monkey) for resilience testing Certifications in performance engineering (e.g., ISTQB Performance Testing, AWS/GCP/Azure certifications) Experience with financial data volumes: millions of positions/trades per reconciliation cycle Key Responsibilities Performance Test Lab & Infrastructure Design, build, and maintain a dedicated performance test lab that mirrors production Kubernetes environments (namespaces, resource quotas, network policies, storage classes) Provision and manage test infrastructure using Infrastructure-as-Code (Terraform, Helm charts) for repeatable, version-controlled environments Set up isolated test databases with realistic data volumes (millions of reconciliation records) and configure MQ/API test harnesses for inter-module communication Establish baseline hardware and configuration profiles for consistent benchmarking across releases Test Strategy & Benchmarking Define the comprehensive performance test strategy covering load, stress, soak, spike, capacity, and scalability testing across all modules Create workload models based on real production traffic patterns — peak reconciliation windows, batch processing cycles, concurrent user simulations, and MQ throughput scenarios Establish KPIs and SLAs: response time percentiles (P50/P95/P99), throughput (TPS), resource utilization ceilings (CPU, memory, IOPS), reconciliation processing rates, and error thresholds Design module-level and end-to-end integration performance test suites that validate the shared database model under concurrent multi-module access Build automated benchmarking frameworks that produce comparable, versioned performance reports across releases CI/CD Integration & Shift-Left Performance Embed performance test gates into Jenkins/GitLab CI/GitHub Actions pipelines so that every build is validated against performance baselines before promotion Implement automated regression detection: flag builds that degrade response times or throughput beyond configurable thresholds Create lightweight smoke performance tests for PR-level validation and full-scale suite execution for nightly/release pipelines Integrate with Grafana/Prometheus/ELK for real-time test execution dashboards, trend analysis, and alerting on performance anomalies Analysis, Optimization & Collaboration Perform deep-dive root cause analysis of performance bottlenecks using profiling tools, APM traces, thread dumps, and database execution plans Partner with development teams to recommend and validate optimization strategies (query tuning, caching, connection pooling, async processing, horizontal scaling) Produce executive-level performance reports with clear findings, risk assessments, and capacity projections for product leadership Evaluate and benchmark database performance under the shared-DB model, including connection contention, lock analysis, and read/write throughput under concurrent module load Team Leadership Recruit, mentor, and lead a team of 2–4 performance engineers, establishing best practices, coding standards, and review processes Drive a culture of performance awareness across engineering — conduct training sessions, brown-bags, and create internal knowledge base documentation Define career growth paths and skill development plans for the performance engineering team