
Cloud Reliability and Resilience Professional
1 day ago
We are seeking an experienced engineer to design, build, and validate robust, scalable, and automated cloud-native environments. The ideal candidate will possess a deep understanding of AWS Cloud and strong Python development skills for automation and tooling.
Key Responsibilities:- Cloud Engineering (AWS):
- Design, implement, and manage secure, scalable, and cost-efficient AWS infrastructure.
- Automate infrastructure provisioning and configuration using Terraform / CloudFormation and AWS SDKs.
- Manage containerized workloads (Docker, Kubernetes).
- Python Development:
- Develop automation scripts, deployment utilities, and infrastructure tooling using Python.
- Implement self-healing and resilience-focused automation scripts.
- Chaos Engineering & Resiliency:
- Design and execute chaos experiments to validate system resilience.
- Partner with SRE and development teams to define SLIs, SLOs, and error budgets.
- DevOps & Observability:
- Build and maintain CI/CD pipelines for automated deployments.
- Integrate observability frameworks for monitoring and tracing.
- 6–10 years of experience in Cloud, DevOps, or SRE roles.
- Strong hands-on expertise in AWS Cloud and advanced Python development skills.
- Experience designing and running chaos experiments.
- Proficiency in containers & orchestration.
- Good understanding of resilient architectures and reliability principles.
- Opportunity to lead cloud reliability and chaos engineering initiatives.
- Culture focused on automation, resilience, and continuous improvement.
- Growth opportunities through certifications and leadership roles.
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