Highly Skilled Cloud Native Engineer Wanted

3 days ago

India beBeeReliability Full time ₹ 6,00,000 - ₹ 8,00,000
Job Description:

We are seeking a highly skilled AWS Engineer to design, build, and validate resilient, scalable, and automated cloud-native environments.

The ideal candidate will combine cloud engineering, DevOps, and chaos experimentation to improve reliability, fault tolerance, and operational efficiency of critical systems.

Required Skills and Qualifications:
  • Cloud Engineering (AWS):
    • 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.
  • Chaos Engineering & Resiliency:
    • Use tools like Gremlin, Litmus, Chaos Mesh, or AWS Fault Injection Simulator.
  • 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.
    • Apply AWS security best practices for IAM, networking, and data protection.
    • Ensure compliance with internal and external regulatory frameworks (SOC2, ISO, GDPR, etc.).
  • 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).
    • 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).
    • 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.

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