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.

Lead QA Engineer - Performance

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