Sobre este puesto de AI Automation Developer en Qvantel
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Job Summary
We are looking for a versatile Automation cum Software Developer to join our managed services team. This role would be to automate the operational processes, workarounds, Managed services tooling needs.
In this role, you won't just "do" operations; you will code them. Your mission is to eliminate manual toil by building automated systems that manage our production environments.
You will use Python and Go to develop custom internal tools, operators, and automation scripts that interact with Linux servers, Telco Applications, Kubernetes, cloud APIs, and databases. As a CS graduate, you will apply rigorous software engineering principles (version control, testing, CI/CD) to the world of infrastructure and operations.
Key Responsibilities
Automation Development: Build and maintain custom automation tools and "glue code" using Go and Python to streamline operational workflows.
Kubernetes Orchestration: Manage the lifecycle of containerized applications using Helm and jenkins where needed.
DB Operations Automation: Automate database tasks such as backups, scaling, schema migrations, and performance monitoring across SQL and NoSQL environments.
Systems Scripting: Create advanced Bash and Python scripts for system hardening, automated patching, and rapid incident response.
Observability as Code: Automate the deployment of monitoring and alerting stacks to ensure "day-zero" visibility for all new services.
Infrastructure Reliability: Ensure the stability of the platform by implementing automated self-healing mechanisms and scaling policies.
CI/CD for Ops: Maintain the pipelines that deploy our infrastructure and automation tools, ensuring a "GitOps" approach to all changes.
Technical Requirements
Education: BE / B-Tech CS or BCA or BCS (With coding experience)
Programming: Proficiency in Python or JAVA for automation and data handling and Go would be added advantage
Orchestration: Hands-on experience with Kubernetes (K8s), Helm & Jenkins.
Database Knowledge: Strong understanding of DB operations and the ability to interact with databases programmatically (SQL/NoSQL).
Linux/Scripting: Expert-level Shell scripting and a deep understanding of Linux internals.
Automation Mindset:
Automation experience on scripting in bash , perl, awk.
Experience with Infrastructure as Code (Terraform, Pulumi) and Configuration Management (Ansible). added as advantage
CI/CD: Understanding of building pipelines in GitLab CI, Jenkins, or GitHub Actions.
The Ideal Candidate
You believe that if a task has to be done twice, it should be automated.
You treat infrastructure code with the same level of care as application code (testing, PRs, documentation).
You enjoy "looking under the hood" of complex systems to understand how they fail and how to fix them with code.
Technical Qualifications
Education: Bachelor’s Degree in Computer Science, Information Technology, or
BCA or BCS Or MCA Or MCS.
Programming: Strong proficiency in Python or JAVA (for automation/scripting). Good to have proficiency on Go (for backend services).
Containerization: Deep hands-on experience with Kubernetes (K8s) and Docker.
Package Management: Proven ability to manage application deployments using Helm.
3-4 years of hands on experince in Scripting and Python.
Understand and implement web services
Databases: Solid understanding of Database operations (PostgreSQL, MySQL, or MongoDB) and ORMs.
Linux/Scripting: Advanced knowledge of Shell scripting (Bash) and Linux system administration.
Cloud/DevOps: Familiarity with CI/CD tools (Jenkins, GitLab CI, or GitHub Actions) and Infrastructure as Code (Terraform is a plus).
Soft Skills
Excellent problem-solving skills and a "can-do" attitude toward automation.
Strong communication skills to collaborate with both Dev and Ops teams.
Ability to work in a fast-paced, Agile environment.
