Performance Test Architect- Noida, India

NeoXam

Noida, Uttar Pradesh, INFull-timeMidPosted Recently

JMeterJenkinsDockerKubernetesJavaPythonAWSAzureGCPSQLCI/CDAPI Testing

Best fit for

This role is best for mid-level QA engineers with hands-on experience in REST API testing, gRPC / Protobuf, Jenkins, GitHub Actions open to working from Noida, Uttar Pradesh, IN.

Skills you need for this role

Detected from the job title, description, and tags.

API / backend testing

REST API testing — Almost every QA role now expects you to validate JSON contracts and status codes.
gRPC / Protobuf — Backend-heavy teams increasingly ship gRPC — a differentiator on your CV.

CI/CD and DevOps

Jenkins — Legacy CI still widely deployed — expect pipeline-as-code questions.
GitHub Actions — Default CI for teams on GitHub — YAML workflows and matrix builds.
GitLab CI — Common in enterprise stacks that self-host GitLab.
Docker — Needed to containerise test environments and spin up dependencies.
Kubernetes — Test infra + preview environments increasingly run on K8s.
AWS — Common cloud target for test infra + service integration testing.
Azure — Common in enterprise / Microsoft-shop QA roles.
Google Cloud — Preferred cloud at several product companies — expect infra-adjacent questions.
Terraform — Infra-as-code helps SDETs own their own test environments.

Programming languages

Java — Dominant language for enterprise QA + Selenium/RestAssured stacks.
Python — Popular for API testing, data validation, and Playwright/Pytest suites.
SQL — Data validation and back-office QA rely on solid SQL.

Domain & process

Performance testing (JMeter / k6 / LoadRunner) — Different discipline from functional QA — expect scenario and metrics questions.
Test management (Jira / Zephyr / TestRail) — Process fluency — writing test cases, tracing coverage, and reporting defects.

Job description

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

Job highlights

•Role: Performance Test Architect- Noida, India
•Company: NeoXam
•Location: Noida, Uttar Pradesh, IN
•Type: Full-time
•Experience: Mid
•Seniority: Mid
•Posted: Recently

Key skills: JMeter · Jenkins · Docker · Kubernetes · Java · Python · AWS · Azure · GCP · SQL

How to prepare for this interview

A 5-step prep plan tailored to this job's stack.

1Refresh at least one automation framework (Selenium or Playwright) end-to-end — the interview will drill into it. Selenium interview questions →
2Practice API-testing scenarios — auth flows, contract validation, and running collections in CI. API testing Q&A →
3Warm up on SQL joins, group-bys, and window functions — most QA rounds include a data-validation query. SQL Q&A →
4Do at least one AI mock interview end-to-end so you're comfortable narrating your answers under time. AI Mock Interview →
5Run your CV through the ATS review so it clears keyword filters for this role before you apply. Resume ATS Review →

Likely interview questions for this role

Tuned to the stack we detected on this job.

Q1.How do you design a test suite for a REST API from an OpenAPI spec?
Q2.How do you handle authentication (OAuth / JWT) inside automated API tests?
Q3.Write a SQL query to find duplicates across two columns and how you'd fix them in test data.
Q4.How do you design a load test scenario from a production traffic pattern?
Q5.Walk me through a bug you found that shipped anyway — how did you handle it?