About The Position
We are seeking a Senior SDET specializing in chaos engineering and monitoring to join our Quality Engineering team. You will design and implement sophisticated test automation frameworks, create and run chaos experiments to validate our systems' resilience against real-world failures, while ensuring comprehensive monitoring capabilities that provide actionable insights during both testing and production scenarios.
Requirements
- 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 stakeholder
Nice To Haves
- Master’s degree in Computer Science, Engineering, or related field
- Knowledge of statistical analysis for evaluating test results and system performance
- Experience with distributed systems and microservice architectures
- Contributions to open-source testing or chaos engineering projects
- Familiarity with AI/ML systems and their unique testing challenges
- Relevant certifications in cloud platforms, testing methodologies, or chaos engineering
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
51-100 employees
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