Cloud Reliability Engineer Opportunity

1 day ago

Nashik, Maharashtra, India beBeeCloudEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Description:

We are seeking a highly skilled professional to design, build and validate cloud-native environments.

  • Design, implement and manage secure, scalable and cost-efficient infrastructure.


Responsibilities

Cloud Engineering:

  • Implement secure, scalable and cost-efficient AWS infrastructure (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront).
  • Automate infrastructure provisioning 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 and third-party observability platforms.
  • Implement self-healing and resilience-focused automation scripts.

Chaos Engineering & Resiliency:

  • Design and execute chaos experiments to validate system resilience.
  • Use tools like Gremlin, Litmus, Chaos Mesh or AWS Fault Injection Simulator.
  • Partner with SRE teams to define SLIs, SLOs and error budgets.
  • Document learnings from chaos tests and improve incident response 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.
Requirements

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.
What We Offer:

Opportunity to lead cloud reliability and chaos engineering initiatives.

Culture focused on automation, resilience and continuous improvement.

Growth opportunities through certifications, R&D projects and leadership roles.

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