As a Senior DevOps Engineer in this AI Technology company, you will be part of a team that is building the AI layer for Bharat at India-scale. The company has strong partnerships with global tech leaders like Meta and Google, and is focused on creating AI solutions that cater to the entire Indian user base across various languages, contexts, and daily needs. You will have the opportunity to work on a platform-and-product stack that aims to make AI useful, reliable, and safe for everyday consumers. If you are looking to be part of a fast-moving team with high ambitions and real-world impact, this is the opportunity for you. The culture emphasizes engineering excellence, collaboration, and making a tangible impact across sectors that are crucial for India's development. **Key Responsibilities:**
Build and maintain Docker containers and deployment configurations for AI services on Google Cloud Platform
Implement and manage CI/CD pipelines using Google Cloud Build for automated ML model deployment
Monitor and maintain GCP infrastructure including Compute Engine instances, Cloud Storage, and networking components
Set up monitoring and alerting systems using Google Cloud Monitoring for AI services availability
Collaborate with engineering teams to optimize deployment processes using Cloud Run and GKE
Maintain documentation for GCP infrastructure processes, runbooks, and deployment procedures
**Qualifications Required:**
5+ years of DevOps, SRE, or infrastructure engineering experience handling billions of transactions
Strong hands-on experience with Docker containerization and container deployment at enterprise scale
Proficiency in Google Cloud Build for CI/CD pipeline implementation and management
Experience working with Google Cloud Platform services including Compute Engine and Cloud Storage
Knowledge of Terraform for Infrastructure as Code on Google Cloud Platform
Experience with Google Cloud Monitoring and logging for production system observability
Strong Linux/Unix system administration skills and command-line proficiency
Experience with Google Kubernetes Engine (GKE) for container orchestration
Familiarity with ML workloads and AI/ML infrastructure on Google Cloud Platform
Experience with Cloud Run for serverless container deployment
Knowledge of Python or Bash scripting for GCP automation tasks
By joining this company, you will have the opportunity to work with global tech leaders, contribute to India's AI ecosystem development, and impact millions of users through AI solutions across sectors like education, healthcare, and agriculture. Additionally, you will receive competitive compensation, access to world-class resources, and benefit from partnerships with Meta, Google, and other tech giants. As a Senior DevOps Engineer in this AI Technology company, you will be part of a team that is building the AI layer for Bharat at India-scale. The company has strong partnerships with global tech leaders like Meta and Google, and is focused on creating AI solutions that cater to the entire Indian user base across various languages, contexts, and daily needs. You will have the opportunity to work on a platform-and-product stack that aims to make AI useful, reliable, and safe for everyday consumers. If you are looking to be part of a fast-moving team with high ambitions and real-world impact, this is the opportunity for you. The culture emphasizes engineering excellence, collaboration, and making a tangible impact across sectors that are crucial for India's development. **Key Responsibilities:**
Build and maintain Docker containers and deployment configurations for AI services on Google Cloud Platform
Implement and manage CI/CD pipelines using Google Cloud Build for automated ML model deployment
Monitor and maintain GCP infrastructure including Compute Engine instances, Cloud Storage, and networking components
Set up monitoring and alerting systems using Google Cloud Monitoring for AI services availability
Collaborate with engineering teams to optimize deployment processes using Cloud Run and GKE
Maintain documentation for GCP infrastructure processes, runbooks, and deployment procedures
**Qualifications Required:**
5+ years of DevOps, SRE, or infrastructure engineering experience handling billions of transactions
Strong hands-on experience with Docker containerization and container deployment at enterprise scale
Proficiency in Google Cloud Build for CI/CD pipeline implementation and management
Experience working with Google Cloud Platform services including Compute Engine and Cloud Storage
Knowledge of Terraform for Infrastructure as Code on Google Cloud Platform
Experience with Google Cloud Monitoring and logging for production system observability
Strong Linux/Unix system administration skills and command-line proficiency
Experience with Google Kubernetes Engine (GKE) for container orchestration