Cloud Reliability and Resilience Expert

5 days ago

Dindigul, Tamil Nadu, India beBeeCloudReliability Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Cloud Engineering and Resilience Specialist

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Job Summary:

We are seeking a skilled professional with expertise in cloud engineering, Python development, and chaos experimentation to design, build, and validate resilient, scalable, and automated cloud-native environments.

About the Role:

The ideal candidate will combine cloud engineering, DevOps, and chaos experimentation to improve reliability, fault tolerance, and operational efficiency of critical systems.

Key Responsibilities:

  • Design, Implement, and Manage Secure, Scalable, and Cost-Efficient Cloud Infrastructure: EC2, Lambda, EKS, S3, RDS, IAM, CloudFront, etc.
  • Automate Infrastructure Provisioning and Configuration: Terraform / CloudFormation and AWS SDKs.
  • Manage Containerized Workloads: Docker, Kubernetes, EKS.

Python Development:

  • Build Automation Scripts, Deployment Utilities, and Infrastructure Tooling: Boto3, Flask, FastAPI, etc.
  • Develop Custom Monitoring/Alerting Integrations: APIs, SDKs, and third-party observability platforms.
  • Implement Self-Healing and Resilience-Focused Automation Scripts:

Chaos Engineering & Resiliency:

  • Design and Execute Chaos Experiments: Fault injection, latency, outages, resource failures.
  • Use Tools Like Gremlin, Litmus, Chaos Mesh, or AWS Fault Injection Simulator:
  • Partner with SRE and Development Teams: Define SLIs, SLOs, and error budgets.
  • Document Learnings from Chaos Tests: Improve incident response & recovery playbooks.

DevOps & Observability:

  • Build and Maintain CI/CD Pipelines: Automated deployments (Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline).
  • Integrate Observability Frameworks: Prometheus, Grafana, ELK/EFK, CloudWatch, Datadog.
  • Ensure Proactive Alerting and Real-Time Visibility: System health.

Security & Compliance:

  • Apply Cloud Security Best Practices: IAM, networking, data protection.
  • Ensure Compliance: Internal and external regulatory frameworks (SOC2, ISO, GDPR, etc.).

Required Skills & Qualifications:

  • 6–10 years of experience in Cloud, DevOps, or SRE roles.
  • Strong hands-on expertise in cloud engineering (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).
  • 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.

Preferred Skills:

  • 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.

What We Offer:

  • 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.

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