Srilatha T

About Srilatha T

Senior Software Engineer with 8+ years of experience designing and building scalable, high-performance enterprise applications across telecom and e-commerce domains. Specialized in Java backend development, microservices architecture, and distributed systems, with a strong focus on delivering resilient, cloud-native solutions.Proven expertise in developing RESTful APIs and GraphQL services, implementing reactive programming, and optimizing system performance for high-throughput applications. Hands-on experience with AWS, Docker, and Kubernetes to build and deploy fault-tolerant, containerized systems.Strong background in system architecture, API integrations, and end-to-end solution design, with a track record of improving system scalability, reducing latency, and enhancing operational efficiency. Experienced in DevOps practices, CI/CD automation, and monitoring using tools like Jenkins, Grafana, and Kibana.Recently focused on integrating AI/LLM capabilities into enterprise systems, enabling intelligent automation, developer productivity enhancements, and next-generation engineering platforms.Recognized for technical leadership, mentoring teams, and driving large-scale projects in Agile environments while collaborating with cross-functional stakeholders to deliver business-critical solutions.

Experience

1. Senior Software Engineer

   AT&T

   Aug 2023 — Present · Houston, TX, US

   Spearheaded the architecture and development of AI-enabled internal engineering platforms to streamline backend development and automate enterprise workflows across large-scale microservices ecosystems->Designed and delivered distributed, omni-channel e-commerce systems supporting order orchestration, billing, and customer lifecycle management, handling over 1M daily transactions->Developed high-performance microservices using Java and Spring Boot, exposing RESTful APIs and GraphQL endpoints to optimize data aggregation and minimize latency->Led end-to-end system architecture, including service decomposition, API gateway design, and API proxy integrations with internal and external platforms->Implemented reactive programming using WebFlux and asynchronous processing to enhance system scalability, resilience, and throughput->Integrated Cassandra databases and PNO architecture to support high-volume, low-latency telecom transaction systems->Embedded LLM-driven capabilities to enable automated code generation, intelligent debugging, and dynamic API documentation->Designed and implemented MCP servers and AI-powered developer tools to standardize AI-assisted engineering practices across teams->Deployed and managed cloud-native applications on AWS (EKS, EC2, S3) using Docker and Kubernetes, ensuring scalable and fault-tolerant environments->Built and optimized CI/CD pipelines using Git, Jenkins, and Ansible, reducing release cycles by approximately 40%->Implemented observability frameworks using Grafana and Kibana, significantly improving system monitoring and incident response efficiency->Enhanced system performance through caching strategies, API optimization, and horizontal scaling, improving response times by approximately 30%->Led and mentored a team of 10+ engineers, driving architectural decisions, fostering best practices, and ensuring high-quality delivery in Agile environments.

Education

• MLRITM

  Bachelor's degree, Computer Science

• Illinois Institute of Technology

  Master's degree, Information Technology