DevOps Engineer

We are looking for a highly skilled DevOps Engineer to build, manage, and optimize scalable cloud infrastructure supporting AI and SaaS products. You will play a key role in ensuring infrastructure reliability, deployment automation, security, observability, and system scalability across cloud-native environments.

The core responsibilities for the job include the following:

Cloud Infrastructure Management:

• Design, implement, and manage scalable cloud infrastructure on AWS, GCP, and Azure.
• Build and maintain high-availability and auto-scaling environments.
• Optimize infrastructure performance, reliability, and cost.

Containerization and Orchestration:

• Deploy, manage, and monitor Kubernetes clusters.
• Build and optimize Docker-based containerized applications.
• Ensure seamless application deployment and scaling.

CI/CD and Automation:

• Design and maintain CI/CD pipelines using Jenkins, GitLab CI/CD, or similar tools.
• Automate deployment and operational workflows.
• Improve release velocity and developer productivity.

Monitoring and Reliability:

• Implement monitoring and observability solutions.
• Monitor system health, application performance, and infrastructure metrics.
• Troubleshoot production issues and perform root cause analysis.

Security and Infrastructure as Code:

• Implement Infrastructure as Code (Terraform, CloudFormation).
• Integrate security best practices into deployment workflows.
• Ensure infrastructure compliance and operational security.

Collaboration:

• Partner with engineering teams to improve deployment processes.
• Provide guidance on scalability, reliability, and cloud best practices.

Requirements:

• 5-8 years of experience in DevOps, Cloud Infrastructure, or SRE roles.
• Strong experience with AWS, GCP, and Azure.
• Hands-on expertise with Kubernetes and Docker.
• Experience designing and managing CI/CD pipelines.
• Strong knowledge of Terraform and/or CloudFormation.
• Experience with auto-scaling and high-availability architectures.
• Understanding of networking concepts (Load Balancers, DNS, and Firewalls).
• Experience with infrastructure monitoring and performance tuning.
• Strong troubleshooting and root-cause analysis skills.

Good to Have:

• Experience working in AI, ML, or SaaS companies.
• Exposure to large-scale cloud-native applications.
• Experience supporting AI/LLM workloads.
• Knowledge of cloud security and compliance practices.

What We Look For:

• Strong ownership mindset.
• Passion for automation and infrastructure scalability.
• Ability to solve complex production issues.
• Strong collaboration and communication skills.
• Interest in building infrastructure for AI-driven products.