Senior DevOps Engineer
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Job Description
DevOps Engineer to build and operate scalable cloud infrastructure, CI/CD pipelines, and ML workloads for AI solutions. Role requires extensive cloud experience across multi-cloud environments.
Responsibilities:
- Design, build, and operate infrastructure across AWS, GCP, and Azure
- Optimize cloud environments for performance, reliability, scalability, and cost efficiency
- Own CI/CD pipelines from code integration through automated deployment
- Implement and maintain Infrastructure as Code using Terraform or similar tools
- Containerize and orchestrate services using Docker and Kubernetes
- Manage GPU-enabled infrastructure for AI model training and inference workloads
- Build and maintain monitoring, logging, and alerting systems
- Support private, VPC-isolated enterprise deployments with strong security and audit capabilities
- Collaborate with ML teams to deploy and scale training and inference workloads
- Work closely with Security and Engineering teams to improve infrastructure resilience and operational excellence
- Maintain infrastructure documentation and operational best practices
Requirements:
- 3+ years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering
- Hands-on experience with AWS, GCP, and/or Azure
- Strong knowledge of Docker and Kubernetes
- Experience building and managing CI/CD pipelines
- Proficiency with Infrastructure as Code tools such as Terraform
- Experience with Git, GitHub Actions, or similar automation tools
- Understanding of monitoring, logging, and observability platforms
- Experience managing production infrastructure with a focus on reliability and scalability
- Knowledge of networking, VPCs, security groups, and cloud-native services
- Familiarity with GPU infrastructure and ML workload deployment is a plus
- Strong troubleshooting and problem-solving skills
- Excellent written and verbal communication skills in English.
Benefits:
- Flexible work arrangements
- Professional development
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