Company Overview
At Articul8 AI, we're building the next generation of resilient, scalable software systems that help organizations transform their operations. Our commitment to quality and reliability drives our engineering culture, where we continuously test and improve our systems under real-world conditions.
Why Join Articul8 AI?
Make an Impact: Shape the resilience and reliability of AI-driven systems at scale.
Build with Modern Tech: Leverage cutting-edge tools and platforms (Multi-cloud, AI-first tooling).
Ownership & Growth: Take ownership of chaos engineering initiatives and influence engineering culture across teams.
Continuous Learning: Collaborate with top engineers, participate in mentoring, and stay ahead in chaos engineering and SRE practices.
Position Summary
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.
Key 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
Qualifications
Required
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
Preferred
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
Ready to shape the future of resilient software systems? Apply now and help drive the reliability of tomorrow’s AI at Articul8 AI!
