#210685640
and responsiveness of the application
Designs and implementation of low-latency, high-availability, and performant applications
Designs, develop, test, and implement Big Data solutions using Apache Spark
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on programming/application development experience JAVA 21, Spring Boot, REST/API. Proficiency in: SQL/Hibernate, Messaging (MQ & Kafka), application performance testing and tuning, Agile.
Experience in Spark, Scala, Python writing reusable, testable, and efficient code.
Experience in working with one search engine [Elastic search, OpenSearch].
Experience in building applications with microservices patterns and being cloud native.
Good knowledge of AWS offerings (S3, EC2, RDS, Terraform etc).
Good knowledge of Docker, Kubernetes.
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills