About the Role

We are looking for a skilled and proactive DevOps Engineer to manage cloud infrastructure, automate deployments, ensure system reliability, and support engineering teams across multiple AI, mobile, backend, and SaaS projects.
This role is ideal for someone who enjoys automation, thrives in fast-paced environments, and can independently manage DevOps pipelines for global clients and internal products.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for Node.js, React Native, React/Next.js, and AI services.
• Manage and optimize AWS infrastructure including EC2, S3, RDS, ECS/EKS, CloudFront, IAM, VPC, Lambda, and Route53.
• Containerize applications using Docker and manage orchestrations via ECS/EKS.
• Ensure system reliability, monitoring, logging, and alerting using CloudWatch or similar tools.
• Automate deployment workflows for development, staging, and production environments.
• Work closely with developers to support seamless API, mobile, and frontend deployments.
• Implement security best practices for cloud resources, access controls, and data protection.
• Optimize infrastructure costs and performance across services.
• Troubleshoot cloud, networking, and pipeline issues quickly and effectively.
• Document DevOps standards, workflows, and deployment procedures.

Required Skills

• 3+ years of hands-on DevOps experience in a production environment.
• Strong expertise in AWS cloud services (EC2, RDS, S3, ECS, Lambda, CloudFront).
• Proficiency with Docker, containerization, and cloud deployments.
• Experience building CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, or similar tools.
• Strong understanding of Linux, shell scripting, and automation workflows.
• Experience with monitoring/logging tools such as CloudWatch, ELK, Prometheus, or Grafana.
• Knowledge of networking basics: VPC, security groups, load balancers, DNS.
• Good problem-solving skills and ability to handle production incidents.

Nice-to-Have Skills

• Experience with Kubernetes (EKS or self-managed).
• Familiarity with Terraform or AWS CDK for infrastructure-as-code.
• Experience supporting AI/ML inference servers or GPU workloads.
• Knowledge of performance tuning, autoscaling, and cost optimization.
• Exposure to DevSecOps practices and automated security scanning.

Interested candidates may apply at [email protected]