Shanmukh Praveen Kothala
Professional Summary
Software Engineer with 7+ years of experience building cloud-native enterprise applications using Java, Spring Boot, Microservices, RESTful APIs, AWS, Kubernetes, Apache Kafka, and CI/CD across automotive, telecommunications, and mobility domains. Delivered high-performance distributed systems that improved platform scalability by 40% while enhancing reliability, security, and operational efficiency. Experienced in designing scalable backend architectures, developing event-driven solutions, optimizing application performance, and delivering business-critical software through Agile development and DevOps best practices. Proven expertise in building secure, resilient, and available applications that support large-scale enterprise operations and evolving business requirements.
Technical Skills
Work Experience
- Architected scalable Connected Vehicle and Fleet Management microservices using Java, Spring Boot, Angular, and AWS, improving platform scalability by 35% and enabling real-time vehicle diagnostics, fleet monitoring, and telematics processing.
- Developed secure RESTful APIs for vehicle telemetry, fleet operations, maintenance scheduling, driver management, and reporting, enabling enterprise system integration and reliable data exchange across microservices.
- Optimized event-driven processing using Apache Kafka to manage high-volume vehicle telemetry, diagnostic events, and maintenance alerts, reducing telemetry processing latency by 40% and accelerating real-time vehicle insights.
- Collaborated with developers, QA engineers, DevOps engineers, product owners, and solution architects to deliver cloud-native automotive applications, ensuring on-time sprint deliverables and production-ready releases.
- Automated application deployments using Docker, Kubernetes and Terraform, standardizing CI/CD workflows, infrastructure provisioning, and release automation, reducing deployment effort by 60% and improving release consistency.
- Strengthened application reliability by optimizing PostgreSQL, implementing OAuth 2.0 authentication, and monitoring production workloads with CloudWatch, reducing production incidents and improving platform stability.
- Engineered a scalable Telecom Service Assurance platform using Java, Spring Boot, and microservices, improving application scalability by 35% while supporting subscriber and service operations.
- Developed backend services for subscriber onboarding, service provisioning, and order fulfillment using Spring Data JPA and Hibernate, enabling reliable telecom business operations.
- Optimized event-driven service communication using Apache Kafka, reducing event-processing latency by 30% and improving synchronization across distributed telecom applications.
- Designed responsive customer-service dashboards using Angular, TypeScript, and Angular Material, enabling efficient order tracking, account management, and service monitoring.
- Automated cloud deployments using AWS, Docker, Kubernetes, and Jenkins, reducing deployment effort by 45% through streamlined CI/CD pipelines.
- Integrated secure RESTful APIs between CRM, billing, and network systems, improving operational efficiency and enabling seamless customer service workflows.
- Engineered scalable backend microservices using Java, Spring Boot, and microservices, increasing ride-processing throughput by 40% while supporting real-time ride matching and trip lifecycle management.
- Designed secure RESTful APIs for trip requests, driver assignment, fare estimation, payment processing, and rider profile management, enabling seamless integration across distributed ride fulfillment services.
- Optimized high-volume transaction processing by implementing Apache Kafka event-driven messaging and tuning PostgreSQL queries, reducing service latency by 32% during peak ride demand.
- Spearheaded cross-functional delivery with architects, product managers, QA engineers, and DevOps teams in Agile environments, ensuring releases of business-critical mobility applications.
- Orchestrated cloud-native deployments using AWS, Docker, Kubernetes, and Jenkins, reducing deployment effort by 45% through automated CI/CD pipelines and containerized infrastructure.
Education
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