Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations.
In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a ‘One to Watch’ on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work.
About the Role
We are seeking a Lead Performance Automation Engineer to define and drive performance engineering strategy, tooling, and practices across large-scale, distributed, cloud-native platforms.
This is a technical leadership role responsible for ensuring systems are:
- Scalable
- Reliable
- Resilient under load
- Optimised for performance and cost efficiency
You will lead performance testing and engineering initiatives across multiple teams, embedding non-functional quality into every stage of the software lifecycle.
Key Responsibilities
1. Performance Engineering Strategy & Leadership
- 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.
2. Performance Test Architecture & Automation
- 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.
3. Workload Modelling & Test Design
- 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
4. Backend, API & Distributed System Performance
- 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.
5. Cloud, Infrastructure & Scalability Testing
- 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.
6. Observability, Analysis & Bottleneck Resolution
- 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.
7. Non-Functional Quality Governance
- 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.
8. Production Performance & Continuous Improvement
- 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
9. Metrics, Reporting & Optimisation
- 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.
Technology Environment
Performance Testing Tools
- Gatling, k6, JMeter, Locust (or similar)
Languages
- Java, Kotlin, Python, or JavaScript
Architecture
- Microservices, Event-driven systems, Kafka
Cloud & Infrastructure
- AWS, Kubernetes, Docker, Terraform
CI/CD
- GitHub Actions, GitLab CI, Jenkins
Observability
- Prometheus, Grafana, Datadog, ELK, Distributed Tracing
What We’re Looking For
Essential
- 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
Desirable
- Experience in high-scale or regulated environments
- Exposure to:
- Chaos engineering
- Resilience and fault injection testing
- Experience with capacity planning and cost optimisation
- Knowledge of security-performance interactions (e.g., encryption overhead)
Personal Attributes
- Strong systems thinking and analytical mindset
- Ability to translate performance data into practical engineering improvements
- Influential leader across engineering and product teams
- Proactive and outcome-driven
- Strong communication and stakeholder management skills
Aker Systems Attributes
At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion.
In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more.
Equal Opportunities
Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.
