•Executes standard software solution, design, development, and technical troubleshooting
•Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
•Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
•Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
•Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
•Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
•Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
•Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Required qualifications, capabilities, and skills
•Formal training or certification on software engineering concepts and 1+ years applied experience
•Hands-on practical experience in system design, application development, testing, and operational stability
•Experience working with microservices and should have developed web applications with Java and Spring
•Experience working with cloud and building cloud-native applications.
•Experience with distributed/document databases (MongoDB) is required for high-scale data ingestion and persistence.
•Experience with Apache Kafka is required for event streaming and ingestion pipelines.
•Experience with Kubernetes is required for containerized deployment, scaling, and operations of services and Experience of working collaboratively within a globally diverse team.
•Experience of Continuous Integration technologies, such as: Jules, Maven, Ant, Selenium, Cucumber, Mocks, JMeter, JUnit, etc. is expected.
•Experience across the whole Software Development Life Cycle
•Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
