Arfath Mohammad
Software Engineer @ Recursion Technologies | Building Scalable Systems & Cloud-Native Solutions | Java • JS • SpringBoot • Node.js • AWS • Azure | Microservices • Real-Time Analytics | Transforming Data into Impact
- Role
- Software Engineer at BNY
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Arfath Mohammad
Innovating at the Intersection of Code and Impact I’m a Software Engineer with…
Experience
Software Engineer
Oct 2024 — Present · Richardson, TX, US
Developed highly scalable backend services using Java, Spring Boot, and microservices architecture, ensuring high availability and fault tolerance for mission-critical applications. Deployed cloud-native solutions using AWS services like EC2, ECS, and RDS, optimizing system performance and reliability while reducing operational costs. Designed and implemented RESTful APIs and integrated SQL databases like MYSQL for high-performance data management in a distributed environment. Enhanced existing web interfaces for improved user experience and performance by implementing modular CSS and optimizing HTML5 code. Collaborated with front-end developers to build responsive and dynamic UI components using React JS. Designed and developed RESTful and SOAP web services using Java 8, Spring Boot, and Spring Data JPA for seamless application integration. Assisted in migrating monolithic applications to microservices architecture, leveraging Spring Boot, Netflix Eureka Server, and Docker for scalability and maintainability. Assisted in the resolution of complex technical issues, working closely with team members to ensure quick and efficient problem-solving, enhancing system stability. Managed the CI/CD process using Git, Jenkins, Maven builds, Docker image creation, and Kubernetes deployment. Developed Kafka producers and consumers and configured Kafka topics with partitions and replication factors to ensure fault tolerance and scalability. Managed scalable microservices using Kubernetes, Docker, and Kafka broker to ensure high availability and resilience. Improved system observability by integrating Grafana, Prometheus, Splunk, and Elasticsearch, significantly reducing production issue response times and improving overall system reliability. Documented key system architecture, APIs, and deployment processes for knowledge sharing and future reference.
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