Cloud Reliability Engineer

4 days ago

Tirupati, Andhra Pradesh, India beBeeCloudReliability Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Design and develop high-performance, scalable cloud infrastructure

Key ResponsibilitiesCloud Infrastructure Engineering
  • Create and manage secure, efficient AWS environments (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront)
  • Automate provisioning and configuration using Terraform / CloudFormation and AWS SDKs
  • Implement containerized workloads (Docker, Kubernetes, EKS)
Software Development
  • Develop automation scripts, deployment utilities and tooling using Python (Boto3, Flask, FastAPI)
  • Build custom monitoring/alerting integrations with APIs, SDKs and third-party platforms
  • Implement self-healing and resilience-focused automation
Critical Systems Testing
  • Conduct chaos experiments (fault injection, latency, outages, resource failures) to validate system reliability
  • Utilize tools like Gremlin, Litmus, Chaos Mesh or AWS Fault Injection Simulator
  • Collaborate with teams to define SLIs, SLOs and error budgets
  • Document learnings from tests and enhance incident response & recovery playbooks
Delivery and Observability
  • Establish 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 status
Safety and Compliance
  • Adhere to AWS security best practices for IAM, networking and data protection
  • Maintain compliance with internal and external regulatory standards (SOC2, ISO, GDPR etc.)

Essential Skills and Qualifications

  • 6–10 years of experience in Cloud, DevOps or SRE roles
  • Strong expertise in AWS Cloud (certifications preferred: AWS DevOps Engineer / Solutions Architect)
  • Advanced Python development skills for automation and tooling (Boto3 a must)
  • Experience conducting 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

We Offer

  • Opportunity to lead cloud reliability initiatives
  • Culture focused on automation, resilience and continuous improvement
  • Growth opportunities through certifications, R&D projects and leadership roles

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