Senior Performance Engineer
2 weeks ago
We're looking for a highly capable
Performance Engineer
to join a fast-paced engineering environment and play a key role in ensuring scalability, reliability and exceptional system performance across complex, integrated platforms.
This role is ideal for someone who enjoys deep technical work, thrives in cross-functional teams, and can confidently influence performance and architecture decisions from the earliest stages of delivery.
What You'll Work On
Performance Strategy & NFR Modelling
- Define and model non-functional requirements with minimal direction.
- Analyse system behaviour and translate usage patterns into realistic workload models.
- Influence scalability and architectural decisions early in the development lifecycle.
Performance Testing & Tooling
- Build sophisticated performance tests using
JMeter
,
K6
, and similar tools. - Design and execute load, stress, soak, and spike scenarios.
- Create efficient, reusable scripts across
Web, API, and backend services
using Groovy, Java, JavaScript, or Python.
Data Preparation & Test Automation
- Identify performance test data needs and automate data provisioning.
- Manage complex data setups across integrated systems, including refresh and masking routines.
CI/CD & Version Control
- Integrate performance tests into CI/CD pipelines (Jenkins, GitHub Actions, Codefresh, etc.).
- Contribute to shift-left testing by embedding performance checkpoints earlier in delivery.
- Work confidently with Git branching and versioning strategies.
Service Virtualisation & Stubs
- Build moderate to complex stubs using
Mountebank
or
WireMock
to simulate upstream/downstream systems.
Monitoring, Analysis & Optimisation
- Use tools like
Grafana, Splunk, Dynatrace
to monitor system behaviour during tests. - Build performance dashboards and write advanced Splunk queries.
- Conduct root-cause analysis, recommend tuning fixes, and contribute to capacity planning.
- Partner closely with architects, technical leads, and infrastructure teams on right-sizing and scaling strategies.
Technical Environment
You'll work across applications using:
- Java/J2EE, Spring Boot, ReactJS
- Kafka, MQ, REST APIs
- Cloud and container platforms such as
Docker, Kubernetes, OpenShift, AWS, Azure or GCP - SQL (medium to complex queries; stored procedures a bonus)
Nice to Have
- Exposure to
chaos engineering
(Gremlin, Litmus, Chaos Mesh). - Understanding of
SRE principles
—SLIs, SLOs, error budgets, observability. - Experience with manual or automated deployments.
- Active use of
AI tools
(Copilot, ChatGPT) to streamline testing or scripting workflows.
Who You Are
- A continuous learner who keeps up with emerging tools and performance engineering trends.
- Strong communicator who can explain complex findings to technical and non-technical audiences.
- Confident preparing Test Summary Reports and presenting insights to stakeholders.
- Someone who takes ownership, collaborates closely with delivery teams, and drives performance excellence end-to-end.
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