We are looking for a highly skilled Senior DevOps Engineer to join our engineering team and manage the deployment, automation, security, and reliability of our cloud infrastructure. The ideal candidate should have strong hands-on experience with AWS services, containerized deployments, CI/CD pipelines, monitoring solutions, infrastructure automation, and production support. You will work closely with development teams to build scalable, secure, and highly available environments while supporting modern web, mobile, and AI-based applications. Experience with AI infrastructure and open-source LLM deployments is highly desirable. Kubernetes knowledge is an added advantage but is not mandatory.
Roles & Responsibilities
- Design, deploy, and maintain secure, scalable, and highly available AWS infrastructure.
- Manage and optimize services including EC2, ECS, S3, RDS, IAM, Route53, CloudWatch, SES, SNS, Load Balancers, VPC, WAF, and related AWS services.
- Build and maintain CI/CD pipelines for automated application deployments.
- Manage Docker-based deployments and containerized applications.
- Perform server provisioning, infrastructure upgrades, server migrations, and production deployments.
- Plan and execute database migrations with minimal downtime.
- Configure and maintain monitoring, logging, alerting, and observability using tools such as Sentry, CloudWatch, Grafana, or similar platforms.
- Implement infrastructure automation using Terraform, CloudFormation, or scripting languages such as Bash or Python.
- Ensure infrastructure security, backup strategies, disaster recovery, and system reliability.
- Troubleshoot production issues, perform root cause analysis, and optimize system performance.
- Support AI infrastructure, including deployment of open-source AI models, inference servers, GPU-enabled environments, and vector databases where required.
- Collaborate with development, QA, and project teams to streamline release processes and improve operational efficiency.
- Maintain infrastructure documentation and follow DevOps best practices.