Database & DevOps Engineer

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