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Articul8 AI • Dublin, California, United States
Role & seniority: Senior SDET specializing in chaos engineering and monitoring
Stack/tools: Python, Go, and/or Rust; chaos tooling (Chaos Monkey, Gremlin or similar); monitoring: Prometheus, Grafana, ELK Stack; observability (metrics, logging, tracing); Kubernetes; CI/CD; cloud platforms (AWS, GCP, Azure)
Design, develop, and maintain advanced test automation frameworks with chaos engineering principles
Create and execute chaos experiments simulating failure modes; establish monitoring and observability during testing and production
Integrate chaos testing into CI/CD, lead post-mortems, mentor engineers, and contribute to testing strategy
Bachelor's degree in CS/Engineering or related field
5+ years in software testing/QA; ≥2 years in chaos engineering
Proficiency in Python/Go/Rust
Experience with chaos tools (Chaos Monkey, Gremlin)
Strong knowledge of monitoring/observability (Prometheus, Grafana, ELK) and distributed systems
Kubernetes familiarity; SRE practices; CI/CD experience; cloud platforms (AWS/GCP/Azure)
Excellent written and verbal communication; ability to present findings to stakeholders
Master’s degree
Statistical analysis for evaluating test results
Experience with distributed systems/microservices; open-source chaos/testing contributions
AI/ML system testing familiarity; cloud/platform certifications
Location & work type: Not specified i
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 stakeholder 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!