subrahmanyam kasani

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

• Extensive hands-on experience in AWS cloud infrastructure design, deployment, and management, including services like Lambda, ECS, and volume encryption.
• Proficient in CI/CD pipeline implementation using Jenkins, GitLab CI/CD, and GitHub Actions, demonstrating strong automation capabilities.
• Solid understanding and practical experience with containerization technologies, including Docker and Kubernetes (deployment, scaling, orchestration), and AWS ECS.
• Strong background in Infrastructure as Code (IaC) with Terraform for consistent and scalable cloud resource provisioning.
• Demonstrated ability to manage and optimize various databases (MongoDB, PostgreSQL, Elasticsearch) and messaging systems (Kafka, Filebeat).
• Experience in MLOps, specifically designing Azure infrastructure for ML models, deploying pre-trained models (GPT-3.5 Turbo), and automating ML deployment workflows via CI/CD.
• Competent in scripting (Bash, Python) for automation and system administration tasks.
• The candidate's technical skill set aligns well with the requirements for a senior DevOps Engineer role, covering core areas like cloud, CI/CD, containers, and automation.