DevOps Engineer

Introduction

IBM Cognos Analytics is a comprehensive business intelligence platform that transforms raw data into actionable insights through advanced reporting, AI-powered analytics, and interactive visualizations. Designed to cater to organizations of all sizes, it offers high-quality, scalable reporting capabilities, enabling users to create and share customized reports efficiently. The platform’s intuitive interface allows for seamless exploration of data, uncovering hidden trends and facilitating informed decision-making without the need for advanced technical skills. With robust governance and security features, IBM Cognos Analytics ensures data integrity and confidentiality, making it a trusted solution for businesses aiming to harness the full potential of their data.

Your Role And Responsibilities

• Design, implement, and manage cloud infrastructure and CI/CD pipelines.
• Collaborate with software development and IT teams to improve and automate processes for software deployment and infrastructure management.
• Develop, optimize, and maintain Kubernetes clusters for containerized applications.
• Manage Docker containers and orchestration, ensuring efficient workflows and minimizing downtime.
• Write and maintain efficient Shell scripts and automation tools to streamline operations.
• Develop and maintain automation scripts in Python and JavaScript for system integration, deployment, and monitoring.
• Troubleshoot, debug, and resolve system issues related to networking, infrastructure, and application environments.
• Maintain and optimize Red Hat/UBI Linux environments, ensuring secure, reliable, and scalable systems.
• Collaborate with network engineers to implement and optimize networking solutions in a cloud-native environment.
• Stay up to date with emerging DevOps tools, technologies, and best practices to continually improve systems and processes.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• 6+ years of experience in DevOps or related field with hands-on experience in the tools and technologies listed below:
• Kubernetes: Expertise in managing and scaling containerized applications using Kubernetes.
• Docker: Proficient in containerization using Docker and orchestration tools.
• Shell Scripting: Advanced proficiency in writing and maintaining Shell scripts for automation.
• JavaScript & Python: Experience writing scripts and automation tools in JavaScript and Python.
• Linux (Red Hat/UBI): In-depth knowledge of Red Hat and Universal Base Image (UBI) Linux distributions for system administration.
• WAF: Knowledge of Web Application Firewall (WAF) configuration and management.
• Networking: Strong understanding of networking principles, protocols, and troubleshooting in a cloud-native environment.
• Experience with cloud platforms (AWS, Azure, GCP) and related DevOps tools.
• Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK stack).
• Solid understanding of CI/CD pipelines, version control (Git), and infrastructure as code (IaC) tools like Terraform or Ansible.
• Strong problem-solving, troubleshooting, and analytical skills.
• Excellent communication and teamwork abilities in a collaborative, fast-paced environment.
• Experience with ArgoCD
  
  

Preferred Technical And Professional Experience

• Certifications in Kubernetes (CKA, CKAD), AWS, or other cloud platforms.
• Experience with Helm, Istio, or service meshes.
• Familiarity with CI/CD tools like Jenkins, GitLab CI, or CircleCI.
• Experience with security best practices and tools for DevOps workflows.