Job Details:

• Job Type: Full-time, Office Desk Job

• Working Days: 6 days a week (1 day holiday: Friday or Sunday)

• Salary: Negotiable, based on skill & performance

• Design, implement, and maintain CI/CD pipelines for automated application deployment

• Manage cloud infrastructure and environments across development, staging, and production

• Configure and maintain Docker containers and container orchestration platforms

• Monitor system performance, availability, and security using modern observability tools

• Automate infrastructure provisioning and configuration management processes

• Collaborate closely with developers to streamline deployment workflows and release management

• Implement backup, disaster recovery, and high-availability strategies

• Troubleshoot infrastructure, deployment, networking, and performance issues

• Ensure security best practices, access control, and compliance standards are followed

• Maintain infrastructure documentation, architecture diagrams, and operational procedures

• Bachelor of Science (BSc) in Computer Science & Engineering

• Cloud Infrastructure: Hands-on experience managing cloud infrastructure on AWS, Azure, GCP, or DigitalOcean. Understanding of networking, storage, compute services, and cloud security principles.
• CI/CD & Automation: Ability to design and maintain CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, or similar platforms.
• Containerization: Strong experience with Docker, Docker Compose, container image management, and containerized application deployment.
• Infrastructure as Code (IaC): Experience automating infrastructure provisioning using Terraform, CloudFormation, Ansible, or equivalent tools.
• Linux Administration: Strong command of Linux systems, server management, process monitoring, shell scripting, and troubleshooting.
• Monitoring & Observability: Experience implementing monitoring, alerting, logging, and performance analysis using Prometheus, Grafana, ELK Stack, Datadog, or similar platforms.
• Networking: Good understanding of DNS, TCP/IP, SSL/TLS, Load Balancers, Reverse Proxies, VPNs, and Firewall configurations.
• Security & Compliance: Knowledge of access management, secrets management, vulnerability mitigation, backup strategies, and infrastructure security best practices.
• Version Control: Proficiency with Git workflows, branching strategies, pull requests, and repository management.
• Database Fundamentals: Basic knowledge of PostgreSQL, MySQL, Redis, database backups, and performance optimization concepts.
• Scripting & Automation: Ability to automate operational tasks using Bash, Shell Scripting, Python, or similar scripting languages.
• Documentation: Ability to create and maintain infrastructure documentation, deployment guides, architecture diagrams, and operational runbooks.
• Communication & Collaboration: Strong communication skills and ability to work effectively with developers, QA engineers, product teams, and stakeholders.
• Problem Solving: Strong analytical and troubleshooting skills for diagnosing infrastructure, deployment, networking, and performance-related issues.
• 
  

• Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP), DigitalOceanCI/CD: GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, Bitbucket Pipelines
• Containerization: Docker, Docker Compose
• Container Orchestration: Kubernetes (K8s), Amazon EKS, Azure AKS
• Infrastructure as Code: Terraform, AWS CloudFormation, Ansible
• Source Control: Git, GitHub, GitLab, Bitbucket
• Monitoring: Prometheus, Grafana, Datadog, New Relic
• Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Graylog
• Linux & Scripting: Ubuntu, CentOS, Bash, Shell Scripting
• Databases: PostgreSQL, MySQL, MongoDB, Redis
• Web Servers: Nginx, Apache
• Security & Secrets: AWS IAM, HashiCorp Vault, Cloudflare
• Project Management: Jira, ClickUp, Trello
• Documentation: Confluence, Notion, Markdown
• API & Testing: Postman, Swagger/OpenAPI
• Collaboration: Slack, Microsoft Teams, Google Workspace
  
  

• Experience with Kubernetes or container orchestration platforms

• Knowledge of microservices architecture and distributed systems

• Familiarity with PostgreSQL, MySQL, Redis, and database administration

• Experience managing high-traffic SaaS applications

• Exposure to AI/ML infrastructure, MLOps, or data pipelines

• Knowledge of serverless architectures and cloud-native services

• Experience with security scanning, vulnerability management, and DevSecOps practices

• Understanding of Agile/Scrum development environments
•