Cloud Resilience Professional

5 days ago


Aligarh, Uttar Pradesh, India beBeeResilience Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Cloud Resilience Engineer

We are looking for a skilled engineer to design, build, and validate resilient, scalable, and automated cloud-native environments.

Key Responsibilities:

Cloud Engineering
  • Achieve secure, scalable, and cost-efficient cloud infrastructure (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront) implementation and management.
  • Automate infrastructure provisioning and configuration using Terraform / CloudFormation and AWS SDKs.
  • Manage containerized workloads (Docker, Kubernetes, EKS).
Python Development
  • Build automation scripts, deployment utilities, and infrastructure tooling using Python (Boto3, Flask, FastAPI).
  • Develop custom monitoring/alerting integrations with 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) to validate system resilience.
  • Use tools like Gremlin, Litmus, Chaos Mesh, or AWS Fault Injection Simulator.
  • Partner with SRE and development teams to define SLIs, SLOs, and error budgets.
  • Document learnings from chaos tests and improve incident response & recovery playbooks.
DevOps & Observability
  • Build and maintain CI/CD pipelines for automated deployments (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
  • Apply AWS security best practices for IAM, networking, and data protection.
  • Ensure compliance with internal and external regulatory frameworks.

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.
  • 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.

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.


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