Senior Software Development Engineer in Test, Chaos Engineering Specialist

Articul8 AI

full-time

Posted on: 9/7/2025

Origin: • 🇺🇸 United States • California

✨ AI Apply

Senior

AWSAzureCloudDistributed SystemsGoGoogle Cloud PlatformGrafanaKubernetesPrometheusPythonRust

About the role

Design, develop, and maintain advanced test automation frameworks that incorporate chaos engineering principles
Create and execute chaos experiments that simulate various failure modes and edge cases in our distributed systems
Implement monitoring solutions that effectively track system performance, resilience, and failure recovery
Establish observability practices that provide deep insights into system behavior during chaos experiments
Collaborate with development teams to build resilience into our applications from the ground up
Develop metrics and dashboards to visualize system reliability and the impact of chaos experiments
Lead post-mortem analyses to identify system weaknesses discovered through chaos testing
Integrate chaos testing into CI/CD pipelines to validate system resilience continuously
Mentor engineers through code reviews, technical sessions, and hands-on guidance in test automation, chaos engineering, and monitoring best practices
Contribute to the company's overall testing strategy and quality assurance practices

Bachelor's degree in Computer Science, Engineering, or related field
5+ years of experience in software testing and quality assurance, with at least 2 years focused on chaos engineering
Strong programming skills in languages such as Python, Go, and/or Rust
Experience with chaos engineering tools such as Chaos Monkey, Gremlin, or similar frameworks
In-depth knowledge of monitoring systems like Prometheus, Grafana, ELK Stack, or similar tools
Experience implementing observability practices (metrics, logging, tracing) in distributed systems
Familiarity with container orchestration platforms like Kubernetes and related chaos tools
Experience with SRE practices and principles
Strong understanding of CI/CD pipelines and how to integrate testing workflows
Experience with cloud platforms (AWS, GCP, Azure) and their monitoring capabilities
Excellent communication skills with the ability to present technical findings to various stakeholders
Master’s degree in Computer Science, Engineering, or related field (preferred)
Knowledge of statistical analysis for evaluating test results and system performance (preferred)
Experience with distributed systems and microservice architectures (preferred)
Contributions to open-source testing or chaos engineering projects (preferred)
Familiarity with AI/ML systems and their unique testing challenges (preferred)
Relevant certifications in cloud platforms, testing methodologies, or chaos engineering (preferred)