Description

You will manage and automate infrastructure, deployment pipelines, and cloud environments to support large-scale applications.

Responsibilities

• Automate networking tasks and implement process improvements through Python scripting and coding standardization.
• Deploy application artifacts to target environments using supported infrastructure and deployment automation tools.
• Monitor environmental health, including disk space and system status reporting, to detect and resolve production bottlenecks.
• Collaborate with technology leads and developers to assess current states and identify developer pain points.
• Execute deployment pipelines and maintain continuous integration workflows across the organization.

Required Skills

• 10+ years of experience in DevOps or related engineering roles.
• Proficiency in Python, NodeJS, Go, and Shell scripting.
• Hands-on experience with AWS and Azure cloud infrastructure.
• Experience managing containerized workloads using Kubernetes and Docker.
• Strong knowledge of CI/CD workflows and tools like Jenkins.
• Expertise with Git and version control platforms such as GitHub.
• Understanding of API concepts and cloud-based container platforms (PaaS/SaaS).
• Experience building and debugging operating systems, databases, and infrastructure at scale.
• Working knowledge of deployment automation tools like Terraform, Puppet, or Chef.

Key Skills

Education

Any Graduate