QA Engineers — Performance & Load Testing-3

Realign Llc; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Realign Llc is seeking senior QA Engineers focused on performance and load testing in a New York onsite setting. The role requires hands-on testing to validate scalability, reliability and system behavior under heavy load.

The ideal candidate will demonstrate deep expertise with k6 (preferred) and experience with Locust, Gatling or similar frameworks, plus strong observability tooling such as Grafana, Prometheus, Datadog and OpenTelemetry.

Qualifications

• Hands-on performance and load testing experience is required.
• Senior specialist level; not a generalist QA engineer.
• Experience with modern observability stacks is necessary.
• Experience with cloud-native, microservices-based and event-driven architectures.
• Ability to validate scalability, resiliency, throughput and latency under heavy load.

Responsibilities

• Develop and execute performance, load, stress and endurance tests.
• Model realistic workloads and traffic reflecting production usage.
• Identify bottlenecks across application, messaging, database and infrastructure layers.
• Collaborate with Engineering, Infrastructure and Product teams to validate remediations.
• Produce detailed performance reports and recommendations to improve system reliability.

Tools

k6

Locust

Gatling

JMeter

Kafka

OpenTelemetry

Grafana

Prometheus

Datadog

Job description

QA Engineers — Performance & Load Testing-3

New York, New York 10001 Posted October 2nd, 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.