Location: Hybrid - KL, Malaysia

Core Responsibilities

Architect and oversee sophisticated performance testing frameworks that span distributed systems, APIs, SDKs, and various service integrations across the organization.
Plan, run, and evaluate performance, load, soak, and stress testing scenarios that mirror real-world traffic volumes, concurrency levels, and usage patterns.
Develop scalable, reusable performance testing infrastructures using tools like JMeter, k6, Gatling, Locust, or LoadRunner Enterprise, and ensure seamless integration into CI/CD pipelines.
Create and continually refine the Performance Testing Runbook — a comprehensive guide detailing environment configuration, load profiles, KPIs, execution standards, and performance sign-off requirements.
Implement robust observability by instrumenting systems with APM and monitoring platforms (Datadog, New Relic, Grafana, Prometheus, ELK, OpenTelemetry) to align test outcomes with backend telemetry data.
Execute in-depth root-cause and bottleneck analyses across the full technology stack — including network, API layers, caching mechanisms, databases, and compute resources — to identify performance constraints and improvement opportunities.
Work closely with backend engineers, DevOps, and SRE teams to evaluate system capacity, investigate regressions, validate tuning experiments, and forecast performance trends.
Automate the collection and enforcement of performance metrics within CI/CD pipelines, supporting objective release decisions through data-driven gating and clear, visualized performance trends.
Provide guidance, mentoring, and technical leadership to QA, automation, and infrastructure teams to elevate the overall maturity of performance engineering across the company.

Required Technical Skills & Expertise

Minimum 8 years of practical experience conducting performance, load, and scalability testing for complex, high-volume or enterprise-grade systems.
Deep hands-on knowledge of a variety of performance testing tools such as JMeter, k6, Gatling, Locust, LoadRunner Enterprise, NeoLoad, or BlazeMeter.
Strong scripting and automation capabilities in languages like Python, JavaScript/TypeScript, or Groovy.
Solid understanding of distributed system design, including microservices architectures, API-driven systems, message queues, asynchronous workflows, and event-based processing.
Proficiency with profiling and diagnostic utilities such as YourKit, JProfiler, VisualVM, Chrome DevTools, perf, and flame graphs.
Ability to analyze and interpret data from APM platforms (Datadog, New Relic, Dynatrace, AppDynamics) and system monitoring tools (Grafana, Prometheus, CloudWatch).
Strong foundation in networking and infrastructure concepts: TCP/IP, HTTP/2, caching models, CDN behavior, load balancing techniques, and service mesh patterns.
Experience defining SLAs, SLOs, and performance benchmarks, and integrating them into CI/CD workflows as enforceable quality gates.
Excellent analytical skills with the ability to distill high-volume telemetry into actionable insights, meaningful stories, and accurate capacity predictions.
Confident working with Git-based workflows and CI/CD platforms such as Jenkins, GitHub Actions, GitLab CI, or CircleCI.

Preferred / Bonus Qualifications

Experience executing performance testing within cloud-native or containerized environments (Kubernetes, Docker, AWS Fargate, GCP GKE).
Knowledge of chaos engineering or resilience testing tools like Gremlin, Litmus, or ChaosMesh.
Familiarity with database query optimization and performance tuning for PostgreSQL, MySQL, Redis, or MongoDB.
Understanding of API gateway performance patterns (Kong, NGINX, AWS API Gateway).
Background in designing, maintaining, or evolving enterprise-scale performance testing frameworks or internal test platforms.
Contributions to internal or open-source performance engineering playbooks, guidelines, or tooling.

What Success Looks Like

A Performance Testing Runbook that becomes the definitive reference for all future load, stress, and scalability assessments across the organization.
Fully automated performance baselines integrated into build and release pipelines, providing continuous insights.
Clear, organization-wide visibility into bottlenecks, regression trends, capacity thresholds, and system hotspots.
A mature, data-driven performance culture where every release is validated, measured, and continuously optimized.
Actionable, evidence-backed recommendations that directly enhance system architecture, product reliability, and engineering quality.

Benefits

Work Tools

High-performance Mac workstations plus any additional equipment needed to maximize productivity.
Collaboration tools including Google Workspace (Chat, Gmail, Drive), Confluence, Jira, and GitLab.

Professional Development

Access to advanced training programs and industry conferences.
A strong internal culture of knowledge sharing and cross-team learning.

Additional Perks

Comprehensive medical, dental, and optical insurance coverage for employees and their dependents.
Flexible working hours tailored to individual schedules and team needs.
No formal dress code.
A modern, comfortable office environment designed for focused and collaborative work.

Departments

Locations

Jobs type

Jobs at TechVibe

Lead Performance Tester

Principal Engineer

Software Development Director

Technical Integration Specialist (IC Lead)

Recruitment Specialist – Malaysia (Contractor)