Reliability and Resilience Expert

5 days ago


Bengaluru, Karnataka, India beBeeCloud Full time ₹ 20,00,000 - ₹ 30,00,000
Job Opportunity

We are seeking an experienced Cloud Engineer to lead our cloud reliability and chaos engineering initiatives.

About the Role:

This is a unique opportunity for a skilled professional to join our team and contribute to the design, build, and validation of resilient, scalable, and automated cloud-native environments. The ideal candidate will have hands-on expertise in AWS cloud, strong Python development skills, and experience designing and running chaos experiments.

Key Responsibilities:
  • Architect, 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, EKS).
  • Develop automation scripts, deployment utilities, and infrastructure tooling using Python (Boto3, Flask, FastAPI, etc.).
  • Implement self-healing and resilience-focused automation scripts.
  • Design and execute chaos experiments (fault injection, latency, outages, resource failures) to validate system resilience.
Required Skills & Qualifications:
  • 6-10 years of experience in Cloud, DevOps, or SRE roles.
  • Strong hands-on expertise in AWS Cloud (certifications preferred: AWS DevOps Engineer / Solutions Architect).
  • Advanced Python development skills for automation and tooling (Boto3 a must).
  • Experience designing and running chaos experiments (Gremlin, AWS FIS, Litmus, Chaos Mesh, or custom Python-based fault injection).
  • Solid knowledge of IaC (Terraform / CloudFormation).
  • Proficiency in containers & orchestration (Docker, Kubernetes, EKS).
Benefits:
  • Opportunity to lead cloud reliability & chaos engineering initiatives.
  • Culture focused on automation, resilience, and continuous improvement.
  • Growth opportunities through certifications, R&D projects, and leadership roles.
Preferred Skills:
  • Knowledge of Go / Shell scripting in addition to Python.
  • Experience with chaos testing in production-like environments.


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