Highly Skilled Cloud Reliability Specialist

6 days ago

Malappuram, Kerala, India beBeeCloudEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Cloud Engineer for Resilient Systems

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

The ideal candidate will combine expertise in cloud engineering, DevOps and resilience to improve system reliability, fault tolerance and operational efficiency.

  • Design, implement and manage secure, efficient AWS infrastructure (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront, etc.).
  • Automate infrastructure provisioning using Terraform / CloudFormation and AWS SDKs.
  • Manage containerized workloads (Docker, Kubernetes, EKS).

Key Responsibilities:

Infrastructure Design:

  • Architect, implement and manage secure, scalable and cost-efficient AWS infrastructure (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront, etc.).
  • Use IaC tools like Terraform or CloudFormation for automation.

Automation & Tooling:

  • 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.

Chaos Engineering & Resiliency:

  • Design and execute chaos experiments (fault injection, latency, outages, resource failures) to validate system resilience.
  • Partner with SRE and development teams to define SLIs, SLOs and error budgets.

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.

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.).

Requirements:

  • 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).

Preferred Skills:

  • Knowledge of Go / Shell scripting in addition to Python.
  • Experience with chaos testing in production-like environments.

What We Offer:

  • Opportunity to lead cloud reliability and chaos engineering initiatives.
  • Culture focused on automation, resilience and continuous improvement.

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