Padmi

Database & DevOps Engineer

ChennaiPosted 1 month ago
Infrastructure And DatabasesJuniorFull Time
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Applicants must read the JD and understand the JD throughly Job Title: Database & DevOps Engineer Location: Chennai, Tamil Nadu (On-site/Hybrid) Experience: 2+ years - Job Summary We are looking for a skilled Database & DevOps Engineer with 2+ years of hands-on experience in database administration, cloud infrastructure, CI/CD pipelines, automation, and AI application deployment. The role involves managing database and infrastructure environments, automating deployments, supporting AI/LLM workloads, and ensuring high availability, security, performance, and scalability. Key Responsibilities Database Management Install, configure, monitor, and maintain SQL and NoSQL databases. Manage database backup, recovery, replication, and disaster recovery. Optimise performance through indexing, query tuning, and monitoring. Ensure database security, integrity, and availability. Troubleshoot database issues and provide timely resolutions. DevOps, Infrastructure & AI Operations Design, implement, and maintain CI/CD pipelines. Automate infrastructure provisioning using Infrastructure as Code tools. Deploy and manage applications across cloud and on-premises environments. Configure and maintain containerised applications using Docker and Kubernetes. Deploy and support AI/ML, LLM, RAG, and agentic AI applications. Configure and manage GPU-enabled infrastructure for AI workloads. Support model serving, vector databases, and AI application APIs. Monitor application, infrastructure, and AI-service performance, including availability, latency, resource utilization, and failures. Maintain Linux servers and automate routine operational tasks. Implement secure management of credentials, secrets, model endpoints, and data access. Collaborate with development and AI teams to streamline deployment and release processes. Mandatory Skills 2+ years of hands-on experience in Database Administration and DevOps. Strong knowledge of MySQL, PostgreSQL, Microsoft SQL Server, and MongoDB. Experience with database backup, restoration, replication, indexing, query optimization, and performance monitoring. Hands-on experience with Git and CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps. Experience with Docker and Kubernetes. Experience with AWS, Azure, or GCP. Knowledge of Terraform and Ansible. Strong Linux administration and shell-scripting skills. Experience with Prometheus, Grafana, ELK Stack, or Nagios. Working knowledge of networking, security, SSL/TLS, and load balancing. Understanding of LLMs, RAG, embeddings, vector databases, and agentic AI architecture. Experience deploying Python-based AI/ML services and APIs. Familiarity with model-serving tools such as llama.cpp, vLLM, Ollama, Hugging Face, or equivalent. Knowledge of GPU-enabled environments, NVIDIA drivers, CUDA, and containerized AI deployment. Understanding of AI/LLM observability, model versioning, security, scaling, and rollback. Strong troubleshooting, analytical, and problem-solving skills. Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Cloud, DevOps, Linux, database, or Kubernetes certifications are an advantage. Technical Stack Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB and vector databases Cloud: AWS, Azure, GCP. CI/CD: Jenkins, GitLab CI/CD, Azure DevOps Containers and IaC: Docker, Kubernetes, Terraform, Ansible Monitoring: Prometheus, Grafana, ELK Stack, Nagios AI Infrastructure: Python APIs, LLM serving, RAG, embeddings, vector search, GPU/CUDA Operating Systems: Linux—Ubuntu, CentOS, Red Hat Soft Skills Excellent communication and collaboration skills. Strong ownership and accountability. Ability to work effectively in a fast-paced Agile environment. Proactive approach to troubleshooting and continuous improvement. Ability to manage multiple priorities and deliver on time. Skills:- DevOps, Database performance tuning, Database migration, Relational Database (RDBMS), CI/CD, Git, Linux/Unix, AI/LLM,, RAG, Google Cloud Platform (GCP), CI/CID, ELK,, grafana and prometheus

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