• Design, develop, and maintain backend services using Python and Java. • Support and contribute to the gradual migration from Python-based services to Java, ensuring stability and continuity. • Build and maintain RESTful APIs and backend integrations. • Participate in system design and architectural discussions, especially around service boundaries and migration strategy. • Work with distributed systems and microservices. • Integrate with third-party services and external APIs. • Write clean, well-tested, and maintainable code following best practices. • Participate in code reviews, technical discussions, and knowledge sharing. • Debug production issues and improve system reliability, observability, and performance. • Collaborate effectively with cross-functional teams across time zones.

• Design, develop, and maintain scalable microservices using Java 8+ and Spring Boot. • Design scalable database schemas for high-transaction-volume systems, applying normalization, partitioning, and sharding. • Optimize SQL queries and resolve performance issues such as full table scans. • Analyze execution plans using EXPLAIN / EXPLAIN ANALYZE and cost-based optimizers. • Work with distributed architectures and apply microservices patterns. • Ensure high code quality, testability, and backend performance. • Monitor and optimize production systems using observability tools.

• Lead the design of high-performance distributed systems capable of handling global traffic • Develop and refine services to improve scalability and efficiency • Drive the transition toward a service-oriented architecture (SOA) to ensure modularity and resilience • Set the bar for code quality by enforcing SOLID principles, design patterns, and testing standards • Actively coach mid-level engineers through deep code reviews and technical knowledge sharing • Identify bottlenecks in services and implement advanced caching and database strategies • Partner with Product and DevOps to translate complex requirements into scalable technical roadmaps

• Perform database engineering and administration activities including design, planning, configuration, monitoring, automation, self-serviceability, alerting, and space management, database backup and recovery. • Plan computerized databases, including base definition, structure, documentation, long-range requirements, operational guidelines, and protection with a capacity to lead and advise on migration and modernization. • Discover and execute workload migrations to Cloud (Azure/GCP). • Hand’s on with using cloud tech tools such as Azure Migrate, Data Migration Service, Azure ASR, GCP DMS, GCP Backup and Disaster Recovery Service. • Migration from Oracle or/and Postgres to/from Other RDBMS platform for PaaS models like Azure Database, GCP Cloud SQL, Oracle@GCP. • Understanding Cloud basics and perform duties like security management, storage management, Backup Vaults, Key vaults, Server/DB Monitoring. • Cost Optimization: Compute and workload analysis, License enhancements and features.