Backend Software Engineer with 4+ years of experience building scalable, production-grade backend systems and APIs on AWS. Strong background in Python, Django, PostgreSQL, distributed systems, and real-time data processing. Proven record of owning services end to end, increasing reliability and performance, and collaborating closely with product and leadership teams. Experience integrating AI and ML services and building high-availability cloud infrastructure used by enterprise customers.
Backend Software Engineer with 4+ years of experience building scalable, production-grade backend systems and APIs on AWS. Strong background in Python, Django, PostgreSQL, distributed systems, and real-time data processing. Proven record of owning services end to end, increasing reliability and performance, and collaborating closely with product and leadership teams. Experience integrating AI and ML services and building high-availability cloud infrastructure used by enterprise customers.
- Created and deployed scalable backend services using Python and Django supporting high-volume enterprise workflows on
- AWS.
- Built and optimized RESTful APIs handling millions of requests per day with 35% faster response latency.
- Led the migration of legacy monolith services into containerized microservices using Docker and Kubernetes.
- Implemented PostgreSQL performance tuning, indexing strategies, and query optimization, reducing database load by 40%.
- Integrated AI-powered services and LLM APIs into internal platforms to automate document analysis and user workflows.
- Collaborated directly with product stakeholders to gather feedback and translate requirements into scalable architecture.
- Developed backend services in Python and Java to support real-time analytics and enterprise collaboration products.
- Built event-driven pipelines using Kafka for real-time data streaming across distributed systems.
- Created high-availability APIs deployed on AWS ECS and Lambda, achieving 99.9% service uptime.
- Implemented secure authentication, rate limiting, and monitoring for production services used globally.
- Partnered with cross-functional teams to deliver customer-facing features from concept to production release.
- Developed and maintained backend microservices using Python and Spring Boot for global enterprise clients.
- Built scalable REST APIs and data processing pipelines handling large datasets and high traffic workloads.
- Built cloud-native deployments on AWS using EC2, RDS, S3, and CI/CD pipelines.
- Boosted application reliability by implementing automated testing and observability practices.
- Worked closely with product teams and customers to iterate on features and resolve production issues quickly.