Job Summary

Job Title  

DevOps Engineer (Technical Lead / Specialist)

Key Responsibilities

Role Description 

CI/CD

• Support build, test and deployment automation using CI/CD tools (e.g., Jenkins / Azure DevOps / GitHub Actions)
• Configure and maintain pipelines for build, test, and deployment

Automation

• • Develop and maintain Python scripts for DevOps automation, deployment orchestration, infrastructure management, and operational support.
  • Troubleshoot and resolve issues related to automation scripts, CI/CD pipelines, cloud infrastructure, and deployment workflows.
  • Integrate Python-based automation with CI/CD tools, cloud platforms, Kubernetes environments, and monitoring solutions.
  • Create reusable automation frameworks and utilities to improve deployment consistency, operational efficiency, and system reliability.

Cloud & Infrastructure Fundamentals

• Work with cloud services (e.g., Azure/AWS/GCP basics): compute, storage, networking fundamentals
• Handling IaaS/PaaS concepts, virtual machines, and app hosting
• Hands-on in environment provisioning and configuration
• Expert in container-based application deployments

Containers & Deployment

• Build and run applications using Docker (images, containers, Dockerfiles)
• Advanced in Container orchestration (Kubernetes fundamentals: pods, deployments, services)

Monitoring, Logging & Reliability

• Assist in configuring monitoring/logging tools (e.g., Prometheus/Grafana/ELK/Azure Monitor)
• Track application health, availability, and performance
• Troubleshoot deployment failures and environment issues

Security & Compliance (Awareness)

• Follow secure DevOps practices (credential hygiene, secrets awareness, access controls basics)
• Support quality gates and compliance checks as per organizational standards

AI & Intelligent DevOps (Exposure Level)

• Use AI‑assisted tools for pipeline optimization, alert analysis, and automation
• Understand how AI/ML is applied in predictive monitoring, anomaly detection, and incident reduction
• Work with AI‑enabled DevOps platforms as part of training and projects

Collaboration & Delivery Practices

• Work in Agile/Scrum teams
• Participate in incident triage, root cause analysis (RCA) learning sessions
• Maintain documentation for pipelines, runbooks, and deployment steps

Skill Requirements

Technical Skills – Role Based Expectations

Mandatory Skills

Linux basics

• file systems, permissions, basic commands, process basics

Networking basics

• IP, DNS, ports, HTTP/HTTPS, basic troubleshooting concepts

DevOps & Cloud

• Github / GitLab (clone, commit, branch, merge, pull request awareness)
  • CI/CD : Jenkins / Azure DevOps / GitHub Actions
  • Containers: Docker/ECR/ACR
  • Kubernetes / EKS/AKS
  • Cloud fundamentals (Azure/AWS/GCP)
  • IaC: Terraform / ARM / CloudFormation (conceptual)
  • Helm

Scripting fundamentals

• Python overview and scripting knowledge
• Error Handling and Debugging in Python
• Loop Control Statements (break, continue, pass) in Python

Problem solving

• Strong logical thinking + debugging mindset

AI Knowledge (Expected – Basic Awareness)

• Conceptual understanding of AI / Machine Learning fundamentals
• Awareness of Generative AI and AI usage in software development
• Exposure to AI tools, courses, or certifications is an added advantage

Behavioral & Soft Skills

• Strong problem-solving and logical thinking
• Willingness to learn and adapt to new technologies
• Good communication skills
• Team player with a positive attitude
• Ability to work in a fast‑paced, project-driven environment

Other Requirements

  Certifications

DevOps / Cloud

• AWS Cloud solutions architect or practitioner
• Azure Fundamentals
• CKAD or CKA

  Language skills

• English: Professional working proficiency (mandatory)
• Ability to communicate technical ideas clearly in written and verbal form