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Lead QA Engineer, Performance at Aker Systems | JobVerse
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Lead QA Engineer, Performance
Aker Systems
Remote
Website
LinkedIn
Lead QA Engineer, Performance
United Kingdom
Full Time
2 weeks ago
No Sponsorship
Apply Now
Key skills
AWS
Cloud
Distributed Systems
Docker
JMeter
Kafka
Kubernetes
Microservices
Prometheus
Terraform
Datadog
Load Balancing
CI/CD
Leadership
Mentoring
About this role
Role Overview
Define and own the organisation-wide performance testing and engineering strategy.
Establish standards for:
Performance testing approaches
Workload modelling
Capacity planning
Introduce and scale performance engineering practices across multiple delivery teams.
Provide technical leadership and mentoring to QA and engineering teams on performance best practices.
Align performance goals with business SLAs, SLOs, and user experience expectations.
Design and implement scalable performance test frameworks and automation pipelines.
Lead adoption of tools such as:
Gatling, JMeter, k6, Locust or similar
Build reusable solutions for:
Load testing
Stress testing
Spike testing
Soak testing
Integrate performance testing into CI/CD pipelines for continuous validation.
Ensure performance tests are repeatable, reliable, and production-representative.
Define realistic user workload models based on production data and usage patterns.
Design performance test scenarios reflecting:
Peak load
Concurrent users
Throughput and latency requirements
Apply risk-based prioritisation for performance testing.
Ensure coverage across:
APIs
Microservices
Data pipelines
Event-driven systems
Lead performance validation for:
Microservices architectures
Event-driven systems (Kafka)
High-throughput APIs
Analyse latency, throughput, error rates, and bottlenecks across distributed systems.
Validate system behaviour under failure conditions and degraded environments.
Ensure horizontal scalability and resilience strategies are tested.
Validate performance across:
AWS cloud environments
Containerised platforms (Docker, Kubernetes)
Conduct capacity planning and infrastructure benchmarking.
Ensure systems scale efficiently using:
Auto-scaling
Load balancing
Distributed architectures
Evaluate performance of Infrastructure as Code (Terraform) deployments.
Use observability tools to analyse system performance, including:
Metrics (Prometheus, Datadog)
Logs (ELK)
Traces (distributed tracing tools)
Identify and diagnose:
CPU, memory, I/O bottlenecks
Network latency issues
Database performance constraints
Collaborate with engineering teams to optimise system performance and architecture.
Define and enforce performance SLAs, SLOs, and acceptance criteria.
Establish quality gates for performance within CI/CD pipelines.
Ensure performance requirements are validated before production release.
Drive adoption of performance testing standards across teams.
Support audit, compliance, and regulatory expectations in performance-critical systems.
Analyse real production performance data to refine testing strategies.
Lead performance-related incident investigations and RCA activities.
Establish feedback loops between production observability and test environments.
Drive improvements in:
System responsiveness
Stability under load
Operational resilience.
Define and track performance KPIs, including:
Response times
Throughput
Error rates
Resource utilisation.
Build performance dashboards and reporting frameworks.
Drive continuous optimisation initiatives based on performance data.
Align performance metrics with business outcomes and user experience.
Requirements
Proven experience as a Performance Test Lead / Performance Engineer / SDET
Strong experience defining performance testing strategies and frameworks
Hands-on expertise with modern performance testing tools
Deep understanding of:
Scalability and distributed system performance
Cloud-native architectures
Experience integrating performance testing into CI/CD pipelines
Strong skills in:
Performance analysis and bottleneck identification
Root cause analysis and system optimisation
Experience defining and tracking performance SLAs/SLOs and KPIs
Ability to lead and influence cross-team quality improvements.
Tech Stack
AWS
Cloud
Distributed Systems
Docker
JMeter
Kafka
Kubernetes
Microservices
Prometheus
Terraform
Benefits
25 days holiday plus bank holidays
Company paid medical insurance
Life assurance
Pension scheme
Annual training allowance
Wellbeing allowance
Virtual GP
Employee Assistance plan and more.
Apply Now
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