Expert Cloud Infrastructure Specialist

4 days ago

Udaipur, Rajasthan, India beBeeReliability Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Cloud Reliability Expert

We are seeking an experienced Cloud Reliability Engineer to design, build, and validate resilient, scalable, and automated cloud-native environments.

Key Responsibilities:

Cloud Architecture
  • Develop secure, scalable, and cost-efficient AWS infrastructure, including EC2, Lambda, EKS, S3, RDS, IAM, CloudFront, etc.
  • Automate infrastructure provisioning and configuration using Terraform / CloudFormation and AWS SDKs.
  • Manage containerized workloads, including Docker, Kubernetes, and EKS.
Python Development
  • Build automation scripts, deployment utilities, and infrastructure tooling using Python and Boto3.
  • 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, including fault injection, latency, outages, and 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, including Jenkins, GitHub Actions, GitLab CI, and AWS CodePipeline.
  • Integrate observability frameworks, including Prometheus, Grafana, ELK/EFK, CloudWatch, and 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, including 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, including certifications (AWS DevOps Engineer / Solutions Architect).
  • Advanced Python development skills for automation and tooling, including Boto3.
  • Experience designing and running chaos experiments, including Gremlin, AWS FIS, Litmus, Chaos Mesh, or custom Python-based fault injection.
  • Solid knowledge of IaC, including Terraform / CloudFormation.
  • Proficiency in containers & orchestration, including Docker, Kubernetes, and EKS.
  • Strong background in monitoring, observability, and incident management.
  • Familiarity with DevOps toolchain, including CI/CD, Git, Jenkins, GitLab, and 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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