Qa Engineers

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

Job summary

Tata Consultancy Services Limited in New York, NY seeks a senior QA Engineer focused on performance and load testing. You will validate scalability, reliability, and performance of distributed systems under heavy load, using k6 and other modern tools.

Role requires hands-on testing across HTTP/REST APIs, WebSockets, Kafka, and Pub/Sub with strong observability experience (Grafana/Prometheus/Datadog/OpenTelemetry). Collaboration with cross-functional teams is essential.

Qualifications

• Hands-on performance and load testing expertise is required.
• Senior specialists, not generalist QA engineers.
• Deep experience with k6 is preferred; Locust/Gatling/JMeter similar tools acceptable.
• Experience in large-scale distributed load generation.
• Strong knowledge of performance engineering: scalability, latency, bottlenecks.

Responsibilities

• Design, develop, and run comprehensive performance tests.
• Create workload models reflecting production usage.
• Test APIs, event streams, and real-time messaging systems.
• Analyze latency percentiles (P95/P99) and throughput figures.
• Identify bottlenecks across app, messaging, DB, and infra layers.
• Collaborate with infra and dev teams to validate fixes.
• Define performance benchmarks and validate against SLAs.
• Automate performance tests and integrate into CI/CD.
• Produce detailed performance reports and actionable recommendations.
• Support release readiness from performance perspective.

Skills

k6

Locust

Gatling

JMeter

HTTP/REST APIs

WebSockets

Kafka

Pub/Sub

Observability

Python

JavaScript/TypeScript

Tools

k6

Locust

Gatling

JMeter

Grafana

Prometheus

Datadog

OpenTelemetry

Job description

Job Description

QA Engineers - Performance & Load Testing

Must Have Technical/Functional Skills

We are building a dedicated Performance Engineering squad for a high-scale, event-driven transactional platform. This role requires a senior-level specialist with deep expertise in performance and load testing. We are looking for top-tier candidates with proven experience validating scalability, reliability, and performance of distributed systems under heavy load. Hands-on performance and load testing experience is essential. We are seeking senior specialists, not generalist QA engineers. Familiarity with tools such as k6 (preferred), Locust, Gatling, distributed load generation, and modern observability stacks is required.

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

Location

New York, NY

Function

TECHNOLOGY

Role

Engineer

ID

432926

Skills

Quality Analyst

Salary Range

$100,000 - $120,000