
51 - 200 employees
Founded 2016
đ Cybersecurity
đ° 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.
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51 - 200 employees
Founded 2016
đ Cybersecurity
đ° 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.
⢠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.
⢠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.
⢠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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