Job Summary:

We are seeking a skilled and proactive Cloud & DevOps Engineer to design, automate, and scale our cloud infrastructure and deployment pipelines. In this role, you will be responsible for ensuring high availability, robust security protocols, and seamless CI/CD workflows across our cloud environments. If you are passionate about infrastructure automation, server optimization, and modern DevOps practices in a fast-growing startup, we want you on our team.

Key Responsibilities:

• Cloud Infrastructure Management: Architect, provision, and manage scalable cloud environments and server infrastructures (such as GCP or AWS) to ensure peak performance.
• CI/CD Pipeline Automation: Build, maintain, and optimize automated continuous integration and continuous deployment (CI/CD) workflows for rapid software delivery.
• Security & Compliance: Implement and monitor hardened security protocols, firewall configurations, SSL management, and access controls across all infrastructure.
• Performance Optimization: Monitor system performance, troubleshoot server-side bottlenecks, optimize database query speeds, and ensure high availability.
• Backup & Disaster Recovery: Establish automated backup systems, disaster recovery protocols, and log monitoring to safeguard critical data and applications.
• Collaboration & Tooling: Work closely with the development team to streamline deployment processes, containerize applications, and manage version control infrastructure.

Qualifications:

• Experience: 3+ years of hands-on experience in cloud architecture, DevOps engineering, or systems administration within modern web ecosystems.
• Technical Stack: Strong command over cloud platforms (GCP/AWS), containerization tools (Docker/Kubernetes), CI/CD pipelines, and Linux server management.
• Security & Networking: Deep understanding of server hardening, network security, DNS management, and SSL implementation.
• Problem-Solving Approach: Highly analytical, detail-oriented, and capable of troubleshooting complex infrastructure and deployment issues independently.