Chaos Engineering
- Toronto, ON, Canada
- Scarborough, ON, Canada
Contract
Applications open in a new tab.
Job details
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
We have an urgent position below. If you are interested, please share your updated resume with the rate expectation.
Role- Chaos Engineer
Location: Toronto GTA (We have an urgent position below. If you are interested, please share your updated resume with the rate expectation.
Role- Chaos Engineer
Location: Toronto GTA (Scarborough, ON) - Hybrid
Duration: long term Contract
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.
Thanks,
Elyash Khan
Raas Infotek
Newark, DE 19702
Direct number: 302-286-9976 | 125
Email: elyash.khan@raasinfotek.com, ON) - Hybrid
Duration: long term Contract
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.
Thanks,
Elyash Khan
Raas Infotek
Newark, DE 19702
Direct number: 302-286-9976 | 125
Email: elyash.khan@raasinfotek.com
More about this job
Responsibilities
Design and run chaos and resilience tests across cloud, Kubernetes, APIs, microservices, and distributed systems, using tools such as AWS Fault Injection Simulator and AWS CDK. Identify and remediate resilience gaps, validate high availability and disaster recovery, automate reliability testing, monitor system behavior, and track reliability metrics in collaboration with engineering teams.
Requirements
Requires strong experience with Java or Python, microservices, APIs, Kubernetes, Docker, and cloud platforms, along with hands-on observability tooling experience. Candidates should understand reliability engineering, chaos testing, incident analysis, resiliency validation, automation, CI/CD, and cloud-native architectures, and have strong troubleshooting, analytical, 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
Hiring contact
Elyash Khan
Hiring contact email
elyash.khan@raasinfotek.com
Categories
- Technology
- Software
- Engineering
Keywords
- Chaos Engineering
- Resilience Testing
- AWS Fault Injection Simulator
- AWS CDK
- Java
- Python
- Microservices
- APIs
- Kubernetes
- Docker
- AWS
- Azure
- Google Cloud Platform
- AppDynamics
- Prometheus
- Grafana
- Dynatrace
- High Availability
- Disaster Recovery
- Failover
- Auto-Healing
- Reliability Engineering
- Incident Analysis
- Failure-as-a-Service
- OpenShift
- Lambda Testing
- Automation
- CI/CD
- SLA
- SLO