Chaos Engineer/SRE

@ Yochana

Toutes ses offres

Ontario

Contrat5+ ans d’expérience

Postuler

SIGNAUX

En bref

Yochana is hiring a contract Chaos Engineer / SRE in Scarborough, Ontario (Toronto GTA) for a role requiring 5+ years of experience. The work centres on designing and running resiliency and chaos tests across cloud, Kubernetes and microservice environments, validating HA and DR, and tracking reliability metrics.

Responsabilités :

Design and run resiliency and chaos tests across cloud and Kubernetes environments
Validate HA, DR, failover and auto-healing
Identify resilience gaps and single points of failure
Automate reliability testing and monitor with observability tools
Define and track SLA, SLO, SLI, MTTR, RTO and RPO

Résumé des exigences :

5+ years of experience
Java or Python, microservices and APIs
Kubernetes, Docker and a cloud platform (AWS, Azure or GCP)
Hands-on chaos testing with AWS FIS or similar tools
Monitoring tools such as Dynatrace, AppDynamics, Prometheus and Grafana

Outils et compétences

AWS FIS AWS CDK Kubernetes Docker Dynatrace AppDynamics Prometheus Grafana OpenShift AWS Lambda

Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur: 2026-11-08
Première détection par notre source: 2026-11-10
Mise à jour du dossier source: 2026-11-10

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
Position	Surtout assis
Exigences physiques	physique faible · ordinateur élevé
Langues	English

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Yochana

Toutes ses offres

Champ	Valeur
Offres sur Jobsy	2

Description

Job Title: Chaos Engineer

Experience: 5+ Years

Location: Toronto GTA(Scarborough, ON)

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.