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Lead QA Engineer, Performance

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Aker Systems

51 - 200 employees

Founded 2016

🔒 Cybersecurity

💰 Venture Round on 2020-07

AI • Data Infrastructure • Cybersecurity

Aker Systems is a data infrastructure company that specializes in modernizing cloud data environments to empower enterprises with real-time data capabilities. Their mission is to enable secure, seamless, and enterprise-scale data flow in the public cloud, supporting organizations in becoming data-driven. Aker Systems is recognized for its contributions to innovation and has recently received accolades for its workplace culture and leadership in data management.

📋 Description

• 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.

🏖️ 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.

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