AWS Resilience Expert

20 hours ago

Hyderabad, Telangana, India beBeeReliability Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

We are seeking a highly skilled AWS professional to lead the design, implementation, and management of secure, scalable, and cost-efficient cloud-native environments.

Key Responsibilities:
  • Cloud Engineering (AWS):
    • Design, build, and manage secure, scalable, and cost-efficient AWS infrastructure (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront).
    • 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 (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.

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.

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