Chaos Engineer
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- Experience: 5+ Years
- Posting language
- English
- Posted
Original job description
Experience: 5+ Years
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 run chaos and resilience tests across cloud, Kubernetes, APIs, microservices, and distributed systems, identifying reliability gaps and driving remediation. Validate high availability, disaster recovery, failover, and recovery processes; automate reliability testing, monitor system behavior, and track service reliability metrics.
Requirements
Requires 5+ years of experience and strong skills in Java or Python, microservices, APIs, Kubernetes, Docker, and cloud platforms. Candidates should have hands-on experience with observability tools, chaos testing, reliability engineering, automation, CI/CD, and cloud-native architectures, along with strong troubleshooting and communication skills.
Skills
- Chaos Engineering
- Resilience Testing
- Java
- Python
- Microservices
- APIs
- Kubernetes
- Docker
- AWS
- Azure
- Google Cloud Platform
- AWS Fault Injection Simulator
- AWS CDK
- Prometheus
- Grafana
- AppDynamics
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
Keywords
- Chaos Engineering
- Chaos Testing
- Resilience Engineering
- Resiliency Validation
- Java
- Python
- Microservices
- APIs
- Kubernetes
- Docker
- AWS
- Azure
- Google Cloud Platform
- AWS Fault Injection Simulator
- AWS CDK
- AWS Lambda
- OpenShift
- AppDynamics
- Prometheus
- Grafana
- Dynatrace
- Observability
- CI/CD
- Automation
- High Availability
- Disaster Recovery
- Failover
- SLA
- SLO
- SLI