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Chaos Engineer
- Toronto, ON, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Key Responsibilities
- Design and execute resiliency and chaos testing scenarios across cloud, Kubernetes, APIs, microservices, and distributed environments.
- AWS FIS knowledge, setup and Run Experiments
- AWS CDK knowledge.
- Identify resilience gaps, SPOFs, and operational risks and drive remediation.
- Validate High Availability (HA), Disaster Recovery (DR), failover, auto-healing, and recovery processes.
- Automate testing and reliability validation using scripting and cloud-native tools.
- Monitor application and infrastructure behavior using observability platforms such as AppDynamics, Prometheus, and Grafana.
- Collaborate with DevOps, SRE, Infrastructure, and Application teams to improve system reliability.
- Define and track reliability metrics including SLA, SLO, SLI, MTTR, RTO, and RPO.
Required Skills
- Strong experience in Java/Python, Microservices, APIs, Kubernetes, Docker, and Cloud Platforms (Azure/GCP/AWS).
- Hands-on experience with monitoring and observability tools such as Dynatrace metrics and observability, AppDynamics, Prometheus, and Grafana.
- Knowledge of Reliability Engineering, Chaos Testing, Incident Analysis, and Resiliency Validation.
- Failure-as-a-Service platforms to achieve resiliency in infrastructure failures, network and application failures.
- Chaos Testing mechanism and tools such as AWS-FIS, Lambda testing, On-premise , OpenShift testing.
- Monitoring tools test/scenario capture and report creation through standardized templates and hypothesis formation.
- Experience with automation, CI/CD, and cloud-native architectures.
- Excellent troubleshooting, analytical, and communication skills.
More about this job
Responsibilities
Design and execute resiliency and chaos testing scenarios across cloud and distributed environments to identify system risks. Collaborate with cross-functional teams to validate recovery processes and track reliability metrics like SLA, SLO, and MTTR.
Requirements
Requires strong experience in Java/Python, Kubernetes, and cloud platforms alongside hands-on knowledge of observability tools. Candidates must possess expertise in chaos testing mechanisms, failure-as-a-service platforms, and CI/CD automation.
Skills
- Java
- Python
- Microservices
- Kubernetes
- Docker
- AWS
- Azure
- GCP
- Chaos Engineering
- Prometheus
- Grafana
- AppDynamics
- CI/CD
- Reliability Engineering
- AWS FIS
- Infrastructure as Code
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Consulting
- Data & Analytics
Keywords
- Chaos Engineering
- Resiliency Testing
- Kubernetes
- AWS
- Azure
- GCP
- Java
- Python
- Microservices
- Docker
- AppDynamics
- Prometheus
- Grafana
- AWS FIS
- SLA
- SLO
- SLI
- MTTR
- RTO
- RPO
- CI/CD
- Reliability Engineering
- Incident Analysis
- Cloud-native
- Infrastructure
- Automation
- Disaster Recovery
- High Availability
- OpenShift
- Lambda Testing