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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
