Publié il y a 6 jours
Chaos Engineer
@ W3Global
Ontario
SIGNAUX
En bref
W3Global is hiring a contract Chaos Engineer to design and run resiliency and chaos tests across cloud, Kubernetes, APIs and microservices. The role requires 5+ years of experience and hands-on work with AWS FIS, AWS CDK and observability tools.
Responsabilités :
- Design and run resiliency and chaos tests on cloud and microservices
- Find resilience gaps and drive remediation
- Validate HA, DR, failover and recovery
- Automate reliability testing and monitor with observability tools
- Track SLA, SLO, MTTR, RTO and RPO
Résumé des exigences :
- 5+ years of experience
- Java or Python with microservices, Kubernetes and Docker
- Hands-on AWS FIS and chaos testing tools
- Monitoring tools such as Prometheus, Grafana and Dynatrace
- Excellent troubleshooting and communication skills
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-08
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Milieu de travail | Bureau, Chez les clients |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
W3Global
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 24 |
Description
Job Title: Chaos Engineer
Experience: 5+ Years
Key Responsibilities
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.
- 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.
Journal
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