QA Engineers — Performance & Load Testing

REALIGN LLC; New York (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

REALIGN LLC is seeking senior QA Engineers focused on performance and load testing for our high-scale platform. You will lead hands-on testing across HTTP/REST APIs, WebSockets, and event-driven components, ensuring scalability and reliability under heavy load.

Ideal candidates bring 7+ years in QA with 4+ years in performance, strong skills in k6, Locust, Gatling, or JMeter, and a deep grasp of observability tools to drive bottleneck remediation across distributed systems.

Qualifications

• 7+ years of QA Engineering experience with 4+ years focused on Performance Engineering and Load Testing.
• Hands-on Performance & Load Testing experience is non-negotiable.
• Deep expertise with k6 is preferred; experience with Locust, Gatling, or similar frameworks is required.
• Strong understanding of performance engineering principles including scalability, resiliency, throughput, latency analysis, and bottleneck identification.
• 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.

Responsibilities

• Design and execute performance, load, stress, spike, and endurance tests.
• Create realistic workload models and traffic patterns that reflect production usage.
• Analyze latency percentiles (P95/P99), throughput, error rates, and resource utilization.
• Collaborate with Engineering, Infrastructure, and Product teams to validate remediation efforts.
• Develop automated performance testing solutions integrated into CI/CD pipelines.

Skills

k6

Locust

Gatling

JMeter

Performance testing

Observability

Cloud-native

Distributed systems

APM tools

Load testing

Tools

Grafana

Prometheus

Datadog

OpenTelemetry

APM tools

Job description

QA Engineers — Performance & Load Testing

New York, New York 10001 Posted September 22nd, 2026

Job Title: QA Engineers — Performance & Load Testing
Location: New York, NY (Onsite)
Fulltime

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.
• 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.

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.
• 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.