At a glanceSummarised by Seekless from the posting.
Must have20
Strong experience defining NFRs and SLOs with Architecture and Engineering teams
Experience building capacity and workload models based on business and technical requirements
Strong understanding of open vs. closed workload models and their application in performance testing
Strong hands-on experience with one or more of k6, JMeter, Gatling or LoadRunner
Proven experience executing performance tests at real production-like scale, including distributed load generation
Strong experience in correlation, parameterisation and complex performance test scripting
Hands-on experience with one or more observability/APM platforms such as Dynatrace, AppDynamics, New Relic, Grafana, Prometheus, Splunk, ELK or OpenTelemetry
Ability to use application and infrastructure telemetry to identify, isolate and troubleshoot performance bottlenecks
Strong understanding of cloud-native and distributed application environments
Experience with Docker/containers and Kubernetes
Good understanding of load balancers, queues and distributed systems
Experience with protocols and technologies beyond REST, such as gRPC, WebSockets and messaging/queue-based systems
Experience establishing or significantly improving a performance testing/performance engineering practice
Ability to define engineering standards, testing methodologies and best practices
Experience mentoring engineers and building high-performing technical teams
Strong ability to drive continuous improvement in performance testing efficiency, reliability and execution time
Strong experience working with Engineering, QA, Architecture, Product and other stakeholders
Ability to communicate performance results and recommendations effectively to non-technical audiences
Strong ability to establish KPIs and report on performance trends and improvement
Skills
k6
JMeter
Gatling
LoadRunner
Dynatrace
AppDynamics
New Relic
Grafana
Prometheus
Splunk
ELK
OpenTelemetry
Docker
Kubernetes
gRPC
WebSockets
Performance Test Engineer / Performance Engineering Lead
Location: Singapore
Industry: Telecommunications / Technology
We are partnering with a leading technology-driven telecommunications organisation that is rapidly scaling its digital initiatives and platforms. We are looking for an experienced Performance Test Engineer / Performance Engineering Lead to take ownership of performance testing and drive application and service performance improvements across large-scale systems.
This is an excellent opportunity to work with modern technologies, large-scale platforms and cross-functional engineering teams while making a direct impact on application performance, reliability and user experience.
Key Responsibilities
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Take ownership of existing performance test scripts and frameworks currently managed by vendors.
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Design, schedule and drive end-to-end performance testing activities.
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Define performance testing strategies, scenarios, workload models, test environments, expected results and success criteria.
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Design and implement processes to improve the efficiency, reliability and execution time of performance tests.
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Establish and track application and service performance metrics, NFRs and SLOs.
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Build capacity and load models in collaboration with Architecture and Engineering teams.
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Analyse performance test results, identify bottlenecks and work with engineering teams to drive performance improvements.
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Collaborate closely with Engineering, QA, Architecture and Product stakeholders to align performance objectives.
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Establish effective ways to track, measure and report the results and effectiveness of performance test runs.
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Provide performance insights and recommendations to improve application scalability, stability and user experience.
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Support performance triage, release governance, performance sign-off and release-blocking decisions where required.
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Communicate performance test outcomes and recommendations to both technical and non-technical stakeholders.
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Drive continuous improvement of performance engineering standards, practices and processes.
Must-Have Skills & Experience
Load Modelling & Performance Engineering
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Strong experience defining Non-Functional Requirements (NFRs) and Service Level Objectives (SLOs) with Architecture and Engineering teams.
•
Experience building capacity and workload models based on business and technical requirements.
•
Strong understanding of open vs. closed workload models and their application in performance testing.
Performance Testing Tools
•
Strong hands-on experience with one or more of k6, JMeter, Gatling or LoadRunner.
•
Proven experience executing performance tests at real production-like scale, including distributed load generation.
•
Strong experience in correlation, parameterisation and complex performance test scripting.
Observability & APM
•
Hands-on experience with one or more observability/APM platforms such as:
Dynatrace, AppDynamics, New Relic, Grafana, Prometheus, Splunk, ELK or OpenTelemetry.
•
Ability to use application and infrastructure telemetry to identify, isolate and troubleshoot performance bottlenecks.
Cloud & Platform
•
Strong understanding of cloud-native and distributed application environments.
•
Experience with Docker/containers and Kubernetes.
•
Good understanding of load balancers, queues and distributed systems.
•
Experience with protocols and technologies beyond REST, such as gRPC, WebSockets and messaging/queue-based systems.
Technical Leadership
•
Experience establishing or significantly improving a performance testing/performance engineering practice.
•
Ability to define engineering standards, testing methodologies and best practices.
•
Experience mentoring engineers and building high-performing technical teams.
•
Strong ability to drive continuous improvement in performance testing efficiency, reliability and execution time.
Stakeholder Management & Release Governance
•
Strong experience working with Engineering, QA, Architecture, Product and other stakeholders.
•
Ability to communicate performance results and recommendations effectively to non-technical audiences.