Cloud Infrastructure Engineer

1 day ago

Jaipur, Rajasthan, India beBeeDevops Full time ₹ 15,00,000 - ₹ 25,00,000
Job Description

Maintaining and enhancing the driver to ensure seamless operations.

Key Responsibilities:

  • Handling bug fixes in the driver.
  • Participating in the development and ownership of automation processes for benchmarking.
  • Onboarding new capabilities in benchmarking.
  • Collaborating with other teams on benchmarking capability additions.
Requirements

Strong Development and Automation Skills

Hands-on experience in Software Development across multiple languages.

Experience in developing automation strategies and designing automated systems.

Strong communication, logical thinking, and analytical skills.

Leadership skills to own and execute tasks independently and collaborate with others as needed.

Agile Development Model understanding.

Test automation frameworks and integrations with multiple tools.

Skills and Qualifications

Expertise in cloud platforms (AWS, Azure, Google Cloud).

Strong experience with Docker and Kubernetes for container orchestration.

Proficiency in automation tools like Terraform, Ansible, or CloudFormation.

Experience with CI/CD tools (Jenkins, GitLab CI, or equivalent).

Supporting feature teams by building and managing pipelines / infrastructure / hosting on Google Cloud Platform.

Managing Kubernetes (GKE) clusters and configuring Helm templates.

Scripting in several languages (e.g. Groovy, Python, JavaScript, PowerShell, Bash/Shell).

Configuring deployment management tools e.g. Terraform, Chef.

Designing, implementing, and maintaining scalable infrastructure using cloud platforms like AWS, Digital Ocean, or Google Cloud.

Automating infrastructure provisioning and managing configuration management using infrastructure-as-code tools like Terraform.

Building, managing, and optimizing continuous integration/continuous deployment (CI/CD) pipelines using Jenkins.

Collaborating with development, product, and QA teams to enhance system performance, deployment processes, and incident response times.

Monitoring system health and performance using tools such as Prometheus, Grafana, and Cloud-specific monitoring tools.

Managing and optimizing container orchestration platforms (Docker, Kubernetes) to ensure efficient application delivery.

Implementing security best practices across infrastructure, including patch management, vulnerability scanning, and access control.

Troubleshooting and resolving production issues to ensure minimal downtime and disruption to services.

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