Database and Messaging Software Engineer ( Chennai, Bangalore and Hyderabad)

Key Responsibilities

• Design, develop, and maintain full-stack enterprise applications with a strong focus on databases, messaging, APIs, and distributed systems.
• Develop scalable backend services and microservices using Java, Python, Go, .NET, or similar technologies.
• Build responsive frontend applications using React, Angular, or similar modern frameworks.
• Design and implement event-driven architectures using Apache Kafka.
• Develop Kafka producers and consumers, topics, partitions, consumer groups, event processing, and messaging workflows.
• Design and optimize databases using MongoDB and PostgreSQL.
• Develop database schemas, queries, indexes, stored procedures, and data-access layers for high-performance applications.
• Perform database performance tuning, troubleshooting, capacity planning, and optimization.
• Build and integrate RESTful APIs and microservices for enterprise applications.
• Work with Apigee for API management, security, routing, policies, traffic management, and API lifecycle management.
• Implement application monitoring and observability using Splunk and Grafana.
• Develop dashboards, alerts, logs, metrics, and monitoring solutions to identify application, database, and messaging issues.
• Troubleshoot production issues involving applications, databases, Kafka, APIs, infrastructure, and distributed services.
• Design highly available, scalable, resilient, and fault-tolerant systems capable of handling high transaction and message volumes.
• Integrate Generative AI capabilities into enterprise applications, workflows, APIs, or developer solutions.
• Leverage GenAI/LLM technologies to improve application functionality, automation, analytics, and engineering productivity.
• Implement secure coding, authentication, authorization, data protection, and API security practices.
• Collaborate with DevOps, Cloud, Architecture, Security, QA, Data Engineering, and Product teams.
• Participate in application modernization and migration initiatives, including legacy modernization and event-driven architecture adoption.
• Perform code reviews, technical design reviews, debugging, performance tuning, and production support.
• Create technical documentation for application architecture, APIs, database designs, Kafka workflows, and operational processes.

Required Technical Skills

• 8–12 years of software engineering experience with strong hands-on development experience.
• Strong full-stack development experience with backend and frontend technologies.
• Hands-on experience with Apache Kafka, including producers, consumers, topics, partitions, consumer groups, offsets, and event-driven architecture.
• Strong experience with MongoDB, including schema design, indexing, aggregation, queries, and performance optimization.
• Strong experience with PostgreSQL, including database design, SQL queries, indexing, optimization, and troubleshooting.
• Hands-on experience with Splunk for centralized logging, log analysis, monitoring, and troubleshooting.
• Hands-on experience with Grafana for dashboards, metrics, visualization, monitoring, and alerting.
• Experience with Apigee or equivalent API management platforms.
• Strong understanding of REST APIs, Microservices, distributed systems, and event-driven architecture.
• Experience with Generative AI, LLMs, AI-enabled applications, or AI-assisted software development.
• Strong programming skills in Java, Python, Go, .NET, or similar languages.
• Hands-on frontend experience with React, Angular, or equivalent technologies.
• Strong understanding of Git, CI/CD, testing, deployment automation, and software engineering best practices.

Preferred Skills

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with Kubernetes, Docker, and cloud-native applications.
• Experience with Kafka Streams, Schema Registry, Kafka Connect, or similar Kafka ecosystem technologies.
• Experience with MongoDB Atlas or managed database platforms.
• Experience with PostgreSQL high availability, replication, and disaster recovery.
• Knowledge of observability practices involving logs, metrics, traces, and distributed monitoring.
• Experience integrating LLM APIs, AI agents, RAG, or GenAI capabilities into enterprise applications.
• **Knowledge of API security, OAuth2, JWT, authentication, a…