Cloud Infrastructure Specialist

6 days ago

Rajahmundry, Andhra Pradesh, India beBeeResilience Full time ₹ 1,50,00,000 - ₹ 2,25,00,000
Job Title:

Cloud Resilience Engineer

Company Description:

Our company is seeking a highly skilled engineer to join our team and lead cloud reliability initiatives.

Job Responsibilities:
  • Cloud Engineering: Architect, implement, and manage secure, scalable, and cost-efficient AWS infrastructure (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront, etc.).
  • 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, 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: 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 (SOC2, ISO, GDPR, etc.).
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).
  • 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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