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Senior Platform Engineer

Roles & Responsibilities

  • Cloud platforms expertise (AWS, Azure, or GCP) with experience designing, building, and operating scalable infrastructure
  • Proficiency with Infrastructure as Code tools (Terraform, CloudFormation, or Pulumi) and automation scripting (Python, Bash, PowerShell)
  • Experience with containerization and orchestration (Docker, Kubernetes) and implementing robust CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI, Bitbucket Pipelines)
  • Strong focus on monitoring, logging, security integration (DevSecOps), auto-scaling, high availability, and incident response

Requirements:

  • Design, build, and manage scalable cloud infrastructure across multiple environments
  • Implement and optimize CI/CD pipelines to accelerate software delivery
  • Develop and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools
  • Enable containerized workloads with Docker and orchestration platforms like Kubernetes

Job description


Responsibilities
  • Design, build, and manage scalable cloud infrastructure across multiple environments.
  • Implement and optimize CI/CD pipelines to accelerate software delivery.
    Develop and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
  • Enable containerized workloads with Docker and orchestration platforms like Kubernetes.
  • Establish monitoring, logging, and alerting systems to ensure system reliability and performance.
  • Integrate security (DevSecOps) practices into platform pipelines.
  • Implement auto-scaling, load balancing, and failover strategies for high availability.
  • Support disaster recovery and incident response processes, including root cause analysis.
  • Partner with development and architecture teams to align platform capabilities with product needs.
  • Drive automation of operational tasks, deployments, and configurations.
  • Provide guidance and mentorship to engineers on platform best practices.

Technologies
  • Cloud Platforms: AWS, Azure, or GCP
  • Containers & Orchestration: Docker, Kubernetes
  • Infrastructure as Code: Terraform, CloudFormation, Pulumi
  • CI/CD: Jenkins, GitHub Actions, GitLab CI, or Bitbucket Pipelines

Tools
  • Monitoring & Logging: Prometheus, Grafana, ELK Stack, CloudWatch, or Datadog
  • Configuration Management: Ansible, Chef, or Puppet
  • Build & Artifact Management: Maven, Gradle, JFrog Artifactory
  • Scripting & Automation: Python, Bash, PowerShell
  • Collaboration & Version Control: Git, Jira, Confluence

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