Cloud Resilience Architect

2 weeks ago


Ellore, Andhra Pradesh, India beBeeCloud Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Cloud Resilience Architect

">Role Overview:

We are seeking a skilled cloud architect to design, build, and validate resilient cloud-native environments using AWS.

This role requires expertise in cloud engineering, DevOps, and chaos experimentation to improve system reliability, fault tolerance, and operational efficiency.

Key Responsibilities:
  1. Design, implement, and manage secure, scalable, and cost-efficient AWS infrastructure using EC2, Lambda, EKS, S3, RDS, IAM, CloudFront, etc.
  2. Automate infrastructure provisioning and configuration using Terraform / CloudFormation and AWS SDKs.
  3. Manage containerized workloads using Docker, Kubernetes, and EKS.
Python Development Skills:
  • Build automation scripts, deployment utilities, and infrastructure tooling using Python (Boto3, Flask, FastAPI, etc.).
  • Develop custom monitoring/alerting integrations with APIs, SDKs, and third-party observability platforms.
  • Implement self-healing and resilience-focused automation scripts.
Chaos Engineering & Resiliency:
  1. Design and execute chaos experiments using tools like Gremlin, Litmus, Chaos Mesh, or AWS Fault Injection Simulator.
  2. Partner with SRE and development teams to define SLIs, SLOs, and error budgets.
  3. Document learnings from chaos tests and improve incident response & recovery playbooks.
DevOps & Observability:
  • Build and maintain CI/CD pipelines for automated deployments using Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline.
  • Integrate observability frameworks (Prometheus, Grafana, ELK/EFK, CloudWatch, Datadog) for monitoring and tracing.
  • Ensure proactive alerting and real-time visibility into system health.
Security & Compliance:
  1. Apply AWS security best practices for IAM, networking, and data protection.
  2. Ensure compliance with internal and external regulatory frameworks (SOC2, ISO, GDPR, etc.).
Requirements:
  • 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 using Gremlin, AWS FIS, Litmus, Chaos Mesh, or custom Python-based fault injection.
  • Solid knowledge of IaC (Terraform / CloudFormation).
  • Proficiency in containers & orchestration using Docker, Kubernetes, and EKS.
  • Strong background in monitoring, observability, and incident management.
  • Familiarity with DevOps toolchain (CI/CD, Git, Jenkins, GitLab, CodePipeline).
  • Good understanding of resilient architectures, reliability principles, and disaster recovery.
Nice to Have:
  • Knowledge of Go / Shell scripting in addition to Python.
  • Experience with chaos testing in production-like environments.
  • Exposure to multi-cloud or hybrid-cloud environments.
  • Strong problem-solving and debugging skills.


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