QA Engineers

Tata Consultancy Services; New York (NY); On-site; USD 100,000 - 120,000; Full time

Job summary

Tata Consultancy Services is seeking QA Engineers focusing on Performance & Load Testing. The role requires hands-on experience with large-scale distributed load generation and strong expertise in performance engineering principles.

You will design and execute load, stress, and endurance tests across HTTP/REST APIs, messaging systems, and microservices in cloud-native environments. Ideal candidates have 7+ years in QA with 4+ years in performance testing, proficiency with k6 and other tools, and

Qualifications

• 7+ years in QA engineering with emphasis on performance.
• 4+ years focused on performance engineering and load testing.
• Experience with HTTP/REST APIs, WebSockets, Kafka, and messaging platforms.

Responsibilities

• Design, develop, and execute performance tests across APIs, event streams, and real-time systems.
• Model realistic workload patterns reflecting production usage.
• Analyze latency, throughput, error rates, and system bottlenecks.
• Collaborate with engineering and infrastructure to validate remediation.
• Define performance benchmarks and validate scalability against SLAs.
• Integrate automated performance testing into CI/CD pipelines.
• Produce performance reports and actionable recommendations.
• Support release readiness from performance perspective.

Skills

Performance testing

Load testing

Observability tools

Cloud-native

Scripting languages

Tools

k6

Locust

Gatling

JMeter

Grafana

Prometheus

Datadog

OpenTelemetry

Job description

Job Description

QA Engineers — Performance & Load Testing

Mandatory Expectations

• Hands-on Performance & Load Testing experience is non-negotiable.
• We are seeking top-tier senior specialists, not generalist engineers.
• Deep expertise with k6 is preferred; experience with Locust, Gatling, or similar frameworks is required.
• Experience performing large-scale distributed load generation.
• Strong understanding of performance engineering principles including scalability, resiliency, throughput, latency analysis, and bottleneck identification.
• Hands-on experience with modern observability tooling including Grafana, Prometheus, Datadog, OpenTelemetry, distributed tracing, and APM platforms.
• Experience working with cloud-native, microservices-based, event-driven architectures.
• Proven ability to identify, analyze, and remediate complex performance issues across application, messaging, database, and infrastructure layers.

Technical Skills

• 7+ years of QA Engineering experience with 4+ years focused on Performance Engineering and Load Testing.
• Strong hands‑on experience with k6, Locust, Gatling, JMeter, or equivalent performance testing tools.
• Experience designing and executing load, stress, endurance, spike, and scalability tests.
• Expertise testing HTTP/REST APIs, WebSockets, event‑driven systems, Kafka, Pub/Sub, and messaging platforms.
• Strong understanding of latency analysis, throughput measurement, concurrency testing, error rate analysis, and capacity planning.
• Experience with distributed load generation and large‑scale workload modeling.
• Proficiency with observability platforms including Grafana, Prometheus, Datadog, OpenTelemetry, and APM tools.
• Experience working with cloud‑native and microservices‑based applications.
• Scripting experience using Python, JavaScript, TypeScript, or similar languages.

Functional Skills

• Performance test strategy and planning.
• Workload modeling and performance benchmarking.
• Root cause analysis and bottleneck identification.
• Capacity planning and resiliency validation.
• Strong analytical and troubleshooting capabilities.
• Effective communication and stakeholder management.
• Cross‑functional collaboration with Engineering, Infrastructure, and Product teams.

Roles & Responsibilities

• Design, develop, and execute comprehensive performance, load, stress, spike, and endurance testing strategies.
• Create realistic workload models and traffic patterns that reflect production usage.
• Execute performance testing across APIs, event streams, and real‑time communication systems.
• Analyze latency percentiles (P95/P99), throughput, error rates, resource utilization, and overall system behavior.
• Identify and troubleshoot application, database, messaging, and infrastructure bottlenecks.
• Collaborate with development and infrastructure teams to validate remediation efforts.
• Define performance benchmarks and validate system scalability against SLAs.
• Develop automated performance testing solutions integrated into CI/CD pipelines.
• Produce detailed performance reports and recommendations to improve system reliability and scalability.
• Support release readiness assessments from a performance and scalability perspective.

Salary Range- $100,000-$120,000 a year