Full Stack Developer + AI

Skills: Python, JavaScript, React/ReactJS, Generative AI, Agentic AI, LLMs, REST APIs, Microservices, Automation

Education and Certification

Qualification: Any Graduate

JD:

• Develop Python-based automation for database administration tasks, including cluster expansions, health checks, compliance validation, and self-healing
• Build full-stack applications using React, JavaScript/TypeScript, REST APIs, and microservices
• Leverage Generative AI, Agentic AI, and LLM technologies to develop intelligent operational assistants and workflow automation solutions
• Design and develop integrations with databases, cloud services, ticketing platforms, monitoring systems, and CI/CD pipelines
• Collaborate with DBAs, SREs, and platform engineers to identify and eliminate repetitive operational activities through automation
• Create dashboards, self-service portals, and reporting solutions to improve operational visibility and efficiency
• Maintain coding standards, security controls, testing practices, and technical documentation

Requirements

• 3+ years of software development experience
• Strong hands-on experience in Python programming
• Experience with JavaScript and React/ReactJS
• Experience developing REST APIs and integrations
• Hands-on experience with Generative AI, Agentic AI, and LLM frameworks
• Strong problem-solving skills with an automation-first mindset
• Database experience with platforms such as PostgreSQL, Cassandra, MongoDB, Couchbase, Yugabyte, or similar databases is preferred
• Experience with AWS and/or GCP is preferred
• Hands-on experience with Docker, Kubernetes, GitHub Actions, and CI/CD pipelines is preferred
• Experience with monitoring and observability tools such as Prometheus and Grafana is preferred
• Knowledge of infrastructure automation and DevOps practices is preferred

Key Skills

Python, JavaScript, React, ReactJS, TypeScript, REST APIs, Microservices, Generative AI, Agentic AI, LLM, Database Automation, PostgreSQL, MongoDB, Cassandra, Couchbase, Yugabyte, AWS, GCP, Docker, Kubernetes, GitHub Actions, CI/CD, Prometheus, Grafana, DevOps