Resilience Test Engineer

TechShack

2 days ago

Role details

Contract type

Contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Compensation

£ 143K

Job location

Remote

Tech stack

Amazon Web Services (AWS)

Bash

Cloud Computing

Distributed Systems

Fault Tolerance

Python

Powershell

Prometheus

TypeScript

Scripting (Bash/Python/Go/Ruby)

Performance Testing

Autoscaling

Grafana

Amazon Web Services (AWS)

GraphQL

Cloudwatch

Microservices

Job description

Resilience Test Engineer - Fully Remote - 3-month contract - Inside IR35 - £500-£550 per day

I have partnered with a financial services firm who are looking for a Resilience Test Engineer. This role is critical in ensuring their platforms, services, and applications remain available, reliable, and fault-tolerant under real-world stress and failure scenarios. You will design, execute, and automate resilience, chaos, performance, and failover tests across distributed systems and cloud-native architectures.

The ideal candidate has strong experience in resilience engineering, chaos testing, cloud platforms (AWS), microservices, and automated quality gates integrated into unified CI/CD pipelines.

Strong knowledge of distributed systems and cloud platforms (AWS).
Hands-on experience with chaos engineering tools (AWS FIS, Gremlin, Chaos Mesh, Litmus).
Strong Scripting/automation skills using Python, Bash, PowerShell, or TypeScript.
Experience with performance testing tools such as K6.
Familiarity with microservices ( Rest/GraphQL/event based), containers, AWS ECS/EKS, and service meshes.
Strong understanding of observability stacks (CloudWatch, Prometheus, Grafana).
Demonstrable knowledge of resilience patterns (circuit breaker, retry, timeout, load shedding, autoscaling).

Resilience Test Engineer - Fully Remote - 3-month contract - Inside IR35 - £500-£550 per day

Requirements

The ideal candidate has strong experience in resilience engineering, chaos testing, cloud platforms (AWS), microservices, and automated quality gates integrated into unified CI/CD pipelines.

Strong knowledge of distributed systems and cloud platforms (AWS).
Hands-on experience with chaos engineering tools (AWS FIS, Gremlin, Chaos Mesh, Litmus).
Strong Scripting/automation skills using Python, Bash, PowerShell, or TypeScript.
Experience with performance testing tools such as K6.
Familiarity with microservices ( Rest/GraphQL/event based), containers, AWS ECS/EKS, and service meshes.
Strong understanding of observability stacks (CloudWatch, Prometheus, Grafana).
Demonstrable knowledge of resilience patterns (circuit breaker, retry, timeout, load shedding, autoscaling).