AI Devops Engineer CST Time Zone

As a highly experienced Senior DevOps Engineer at Ekshvaku Tech Innovations, your role will involve leading the DevOps strategy to modernize infrastructure and ensure high performance across multi-environment deployments. You will work closely with cross-functional engineering teams to build scalable automated and resilient infrastructure for modern distributed systems and AI-driven platforms. Your responsibilities will include:

- CI/CD & Automation - Design, implement, and maintain scalable CI/CD pipelines for Pre, QA, and Production environments. - Continuously improve build, release, and deployment workflows. - Reduce manual operations through automation and scripting.

- Infrastructure Engineering - Automate provisioning and configuration using Terraform, Ansible, and similar IaC tools. - Architect, deploy, and maintain cloud infrastructure (AWS/GCP). - Lead modernization initiatives such as containerization, orchestration, and microservices optimization. - Implement high availability setups, DR strategies, and cost-optimized infrastructure.

- AI/ML Operations - Support AI/ML model training and deployment pipelines. - Manage GPU orchestration and scalable model-serving environments. - Collaborate closely with AI and Data Engineering teams.

- Monitoring, Security & Observability - Implement centralized monitoring, logging, and alerting systems. - Improve system reliability and incident response times. - Ensure cloud security best practices and contribute to compliance efforts.

- Documentation & Collaboration - Maintain clear documentation, runbooks, and architecture diagrams. - Collaborate with Engineering, Product, QA, and AI teams. - Evaluate new DevOps tools and AI-powered automation capabilities.

Required Skills & Experience: - 8 years in DevOps or Cloud Infrastructure roles. - Strong expertise in GitHub Actions and CI/CD pipeline architecture. - Deep understanding of AWS or GCP. - Production-level experience with Docker & Kubernetes. - Proficiency in scripting: Python, Bash, or Go. - Strong experience with Terraform, Ansible, CloudFormation. - Solid understanding of monitoring tools. - Experience supporting AI/ML pipelines. - Knowledge of security best practices & compliance frameworks. - Excellent communication and documentation skills.

Preferred Qualifications: - Experience with GPU workloads and ML orchestration. - Knowledge of event-driven or serverless architectures. - Exposure to GitOps tools. - Background in AIOps. - AWSDevOps Engineer Professional or equivalent certification.

Success Indicators: - 90% reduction in manual deployment tasks within 6 months. - Fully standardized infrastructure documentation. - Reduced downtime and faster incident resolution. - Improved developer velocity and deployment frequency. - Adoption of AI-assisted automation and predictive monitoring. As a highly experienced Senior DevOps Engineer at Ekshvaku Tech Innovations, your role will involve leading the DevOps strategy to modernize infrastructure and ensure high performance across multi-environment deployments. You will work closely with cross-functional engineering teams to build scalable automated and resilient infrastructure for modern distributed systems and AI-driven platforms. Your responsibilities will include:

- CI/CD & Automation - Design, implement, and maintain scalable CI/CD pipelines for Pre, QA, and Production environments. - Continuously improve build, release, and deployment workflows. - Reduce manual operations through automation and scripting.

- Infrastructure Engineering - Automate provisioning and configuration using Terraform, Ansible, and similar IaC tools. - Architect, deploy, and maintain cloud infrastructure (AWS/GCP). - Lead modernization initiatives such as containerization, orchestration, and microservices optimization. - Implement high availability setups, DR strategies, and cost-optimized infrastructure.

- AI/ML Operations - Support AI/ML model training and deployment pipelines. - Manage GPU orchestration and scalable model-serving environments. - Collaborate closely with AI and Data Engineering teams.

- Monitoring, Security & Observability - Implement centralized monitoring, logging, and alerting systems. - Improve system reliability and incident response times. - Ensure cloud security best practices and contribute to compliance efforts.

- Documentation & Collaboration - Maintain clear documentation, runbooks, and architecture diagrams. - Collaborate with Engineering, Product, QA, and AI teams. - Evaluate new DevOps tools and AI-powered automation capabilities.

Required Skills & Experience: - 8 years in DevOps or Cloud Infrastructure roles. - Strong expertise in GitHub Actions and CI/CD pipeline architecture. - Deep understanding of AWS or GCP. - Production-level experience with Docker & Kubernetes. - Proficiency in scripting: Python, Bash, or Go. - Strong experience with Terraform, Ansible, CloudFormation.