Senior Cloud Infrastructure Specialist

7 days ago

Tiruchi, Tamil Nadu, India beBeeReliability Full time ₹ 2,06,40,000 - ₹ 2,51,20,000
Cloud Reliability Engineer

We are seeking a highly skilled Cloud Reliability Engineer to design, build, and validate resilient cloud-native environments. The ideal candidate will combine expertise in cloud engineering, DevOps, and chaos experimentation to improve system reliability, fault tolerance, and operational efficiency.

Key Responsibilities
  • Cloud Engineering:
    • Architect, implement, and manage secure, scalable, and cost-efficient cloud infrastructure using AWS services (EC2, Lambda, EKS, S3, RDS, IAM, CloudFront).
    • Automate infrastructure provisioning and configuration using Terraform / CloudFormation and AWS SDKs.
    • Manage containerized workloads (Docker, Kubernetes, EKS).
  • Automation and Tooling:
    • Develop automation scripts, deployment utilities, and infrastructure tooling using Python (Boto3, Flask, FastAPI).
    • Implement self-healing and resilience-focused automation scripts.
  • 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.
    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).
    • 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.
    Priorities
    • 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 the opportunity to lead cloud reliability initiatives, a culture focused on automation, resilience, and continuous improvement, and growth opportunities through certifications, R&D projects, and leadership roles.

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