Free with a WorkJio account: we compare your profile with this job and show what you already meet.
Share with a friend
Start
Not stated
Work mode
On-site
Experience
Experienced
About the role
This role is about building scalable performance engineering practices for business-critical applications and platforms at StarHub. You will work with product, architecture, engineering, and SRE teams to define performance standards and lead testing efforts. It suits an experienced performance engineer who can lead cross-functional teams and mentor others.
What you'll do
Own performance test strategy, workload modelling, execution, analysis, and release recommendations for assigned applications and platforms.
Establish NFRs, SLOs, baselines, capacity models, quality gates, engineering standards, and reusable automated test assets.
Build in-house capability through vendor transition, technical leadership, mentoring, hiring support, and governance.
Define testable NFRs, SLOs, KPIs, workloads, and acceptance criteria with product, architecture, engineering, and SRE teams.
Build production-representative workload and capacity models using traffic patterns, transaction mix, arrival rates, concurrency, growth forecasts, and appropriate open or closed workload models.
Design and execute load, stress, spike, endurance, scalability, and capacity tests using k6, JMeter, Gatling, or equivalent tools.
Build correlation-heavy, data-driven scripts and operate distributed load generation at enterprise scale.
Use APM, metrics, logs, and traces from tools such as AppDynamics, New Relic, Grafana, Prometheus, Splunk, Elastic, or OpenTelemetry to isolate application and platform bottlenecks.
Test cloud and distributed platforms involving containers, Kubernetes, load balancers, databases, caches, queues, and protocols or interaction patterns beyond synchronous HTTP/REST.
Integrate performance tests and thresholds into CI/CD, maintain baselines, track trends, and improve test reliability and execution time.
Lead cross-functional triage, verify fixes, communicate risks to technical and non-technical stakeholders, and provide release sign-off recommendations.
Define standards, review technical work, mentor engineers, support hiring, and transition vendor-owned scripts, frameworks, documentation, and knowledge into StarHub.
Good to know
Location: Singapore.
Requirements
Led performance engineering for multiple enterprise-scale releases with measurable improvements in latency, throughput, scalability, stability, or capacity
Defined NFRs and SLOs, built workload and capacity models from production demand, and justified open or closed model selection
Used at least one major performance tool at real scale, including distributed load generation, complex correlation, dynamic data, and realistic pacing
Diagnosed critical bottlenecks by correlating test results with APM, infrastructure, database, log, metric, and trace evidence
Tested cloud-native or distributed systems and explained the performance effects of Kubernetes, autoscaling, load balancing, databases, caches, queues, networks, and dependencies
Built reusable frameworks and CI/CD quality gates with reliable baselines, trend reporting, and reduced execution or diagnosis time
Apply on the company website
You will leave WorkJio. Never pay a fee or share your Singpass password, OTP or bank log-ins to apply.