SME - Azure DevOps, Terraform

Job summary

Design and execute chaos and resiliency tests across cloud, Kubernetes, APIs, microservices, and distributed systems. Identify resilience gaps and operational risks, validate high availability, disaster recovery, failover, and recovery processes, and automate reliability testing. Collaborate with engineering teams and track metrics including SLA, SLO, SLI, MTTR, RTO, and RPO using cloud-native and observability tools.

Qualifications

• Strong experience with Java or Python, microservices, APIs, Kubernetes, Docker, and cloud platforms including Azure, GCP, or AWS.
• Hands-on experience with observability tools such as Dynatrace, AppDynamics, Prometheus, and Grafana.
• Knowledge of reliability engineering, chaos testing, incident analysis, and resiliency validation.
• Experience with automation, CI/CD, and cloud-native architectures.
• Knowledge of Azure DevOps, Azure Kubernetes Service, Azure PaaS and IaaS, and Terraform.
• Excellent troubleshooting, analytical, and communication skills.

Responsibilities

• Design and execute resiliency and chaos testing scenarios across cloud, Kubernetes, APIs, microservices, and distributed environments.
• Identify resilience gaps, single points of failure, and operational risks; drive remediation.
• Validate high availability, disaster recovery, 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.
• Collaborate with DevOps, SRE, infrastructure, and application teams to improve system reliability.
• Define and track SLA, SLO, SLI, MTTR, RTO, and RPO metrics.
• Set up and run AWS FIS experiments.
• Capture monitoring test scenarios and create reports using standardized templates and hypotheses.

Skills

Relocation