QA Engineers

We are building a dedicated Performance Engineering squad for a high‑scale, event‑driven transactional platform. This senior‑level role focuses on validating scalability, reliability, and performance of distributed systems under heavy load.

Mandatory Expectations

• Hands‑on performance and load testing experience (non‑negotiable).
• Deep expertise with k6 (preferred) and experience with Locust, Gatling, or similar frameworks.
• Experience performing large‑scale distributed load generation.
• Strong understanding of performance engineering principles: scalability, resiliency, throughput, latency analysis, and bottleneck identification.
• Hands‑on experience with modern observability tooling (Grafana, Prometheus, Datadog, OpenTelemetry, distributed tracing, APM platforms).
• Experience 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.
• Designing and executing load, stress, endurance, spike, and scalability tests.
• Testing HTTP/REST APIs, WebSockets, event‑driven systems, Kafka, Pub/Sub, and other messaging platforms.
• Latency analysis, throughput measurement, concurrency testing, error‑rate analysis, and capacity planning.
• Distributed load generation and large‑scale workload modeling.
• Proficiency with observability platforms: Grafana, Prometheus, Datadog, OpenTelemetry, and APM tools.
• 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.

Pay

Salary Range: $100,000–$120,000 per year