Software Performance Engineer

Job Description
Job Description Bill Rate: $65/hr MSP Owner: Subhashree samal

Location:
- onsite
- New York, NY Duration: 6 months GBaMS ReqID: 10983892 Job Title: Software Engineers — Performance & Load Testing ROLE_DESCRIPTION "
• Design and build traffic replay tooling for large-scale transactional workloads.
• Convert API logs, event streams, and production exports into realistic, replayable load test scenarios.
• Develop custom utilities and frameworks to support large-volume performance testing.
• Simulate real-world user behavior and workload patterns across distributed systems.
• Support execution of large-scale load, stress, and scalability testing activities.
• Analyze application behavior, resource utilization, and bottlenecks under load.
• Partner with QA and Infrastructure Engineers to design end-to-end performance testing strategies.
• Support performance remediation efforts through detailed analysis and tooling enhancements.
• Enable automated performance testing within CI/CD workflows.
• Drive continuous improvements in platform performance, scalability, and reliability." SKILLS_REQUIRED "
• 7 years of software engineering experience with strong focus on performance engineering.
• Advanced programming skills in Python, Java, Go, or Node.js.
• Proven experience building performance testing frameworks and traffic replay solutions.
• Hands-on expertise with k6, Locust, Gatling, or custom load generation frameworks.
• Strong understanding of distributed systems, event-driven architectures, and microservices.
• Experience parsing large-scale API logs, event logs, telemetry data, and production traffic exports.
• Experience with Kafka, Google Pub/Sub, WebSockets, REST APIs, gRPC, and streaming platforms.
• Knowledge of distributed load generation methodologies and performance engineering best practices.
• Familiarity with cloud-native platforms and Kubernetes environments.
• Strong experience with observability tools including Grafana, Prometheus, Datadog, OpenTelemetry, and distributed tracing platforms.
• Experience leveraging AI/LLM-assisted techniques to generate realistic performance test scenarios. Functional Skills
• Performance engineering and application optimization.
• Tool and framework development.
• Performance problem diagnosis and remediation support.
• Scalability analysis and workload simulation.
• Strong analytical and troubleshooting skills.
• Collaboration across QA, Infrastructure, and Product Engineering teams.
• Technical documentation and communication." ESSENTIAL_SKILLS "
• 7 years of software engineering experience with strong focus on performance engineering.
• Advanced programming skills in Python, Java, Go, or Node.js.
• Proven experience building performance testing frameworks and traffic replay solutions.
• Hands-on expertise with k6, Locust, Gatling, or custom load generation frameworks.
• Strong understanding of distributed systems, event-driven architectures, and microservices.
• Experience parsing large-scale API logs, event logs, telemetry data, and production traffic exports.
• Experience with Kafka, Google Pub/Sub, WebSockets, REST APIs, gRPC, and streaming platforms.
• Knowledge of distributed load generation methodologies and performance engineering best practices.
• Familiarity with cloud-native platforms and Kubernetes environments.
• Strong experience with observability tools including Grafana, Prometheus, Datadog, OpenTelemetry, and distributed tracing platforms.
• Experience leveraging AI/LLM-assisted techniques to generate realistic performance test scenarios. Functional Skills
• Performance engineering and application optimization.
• Tool and framework development.
• Performance problem diagnosis and remediation support.
• Scalability analysis and workload simulation.
• Strong analytical and troubleshooting skills.
• Collaboration across QA, Infrastructure, and Product Engineering teams.
• Technical documentation and communication." EXPERIENCE_RANGE_IN_REQUIRED_SKILLS 7 Role Descriptions: Technical/Functional Skills We are seeking highly skilled Software Engineers with deep expertise in performance engineering and workload simulation. This role will focus on building traffic replay solutions| converting production data into realistic test scenarios| and supporting large-scale performance validation efforts for a high-volume event-driven platform.
Hands-on performance and load testing experience is essential. We are seeking senior specialists| not generalist software engineers. Familiarity with tools such as k6 (preferred)| Locust| Gatling| distributed load generation| and modern observability stacks is required.
Mandatory ExpectationsHands-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