Senior Cloud Systems Architect

2 days ago

Mysore, Karnataka, India beBeeDevops Full time US$ 1,25,000 - US$ 1,75,000

Glowingbud is a rapidly growing eSIM services platform that simplifies connectivity with powerful APIs, robust B2B and B2C interfaces, and seamless integrations with leading carriers.

Job Overview

We are seeking an experienced DevOps Engineer to maintain scalable cloud environments, implement robust CI/CD pipelines, optimize system performance, and ensure high availability of critical applications.

Main Responsibilities:

  • Cloud Infrastructure Management: Design, implement, and maintain scalable cloud infrastructure using industry-leading technologies.
  • System Documentation & Diagrams: Maintain up-to-date system diagrams, architecture documentation, and operational procedures.
  • Containerization & Orchestration: Deploy and manage containerized applications using Docker and Kubernetes.
  • System Maintenance & Optimization: Ensure high availability, performance tuning, and cost optimization of cloud and on-premise infrastructure.
  • Monitoring & Observability: Implement detailed system monitoring, logging, and alerting using tools like Prometheus, Grafana, ELK stack, or AWS CloudWatch.
  • Security & Compliance: Enforce security best practices, conduct regular audits, and ensure adherence to compliance standards.
  • CI/CD Pipeline Management: Build and maintain automated deployment pipelines for seamless application releases.
  • Incident Response & SLA Management: Define SLAs, monitor system performance, and establish an efficient incident response strategy.

Requirements:

  • 7+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles.
  • Expert knowledge of cloud services (AWS, Azure, Google Cloud). Strong experience with Docker & Kubernetes for container orchestration and management.
  • Hands-on experience with infrastructure as code (IaC) tools like Terraform, CloudFormation, or Pulumi.
  • Expertise in system monitoring and logging tools (Prometheus, Grafana, ELK Stack, Datadog, AWS CloudWatch).
  • Proficiency in scripting languages (Bash, Python, or Go) for automation and infrastructure management.

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