Software Engineer II - Java Fullstack + React + Python(AI/ML)

h-quality code using the syntax of at least one programming language with limited guidance

• 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 to improve the value realized by automation

• Applies technical troubleshooting to break down 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

• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience

• Hands-on experience of developing microservices using Java and Spring Boot (understanding Spring internals)

• Hands-on experience of building distributed system with micro-services

• Hands-on experience deploying and running workloads on AWS

• Hands-on React, JavaScript, and HTML 2+ years of hands on Python experience

• Willingness to work on teams that develop highly scalable, secure, and resilient applications utilizing Java, Spring Core, Spring Boot, REST APIs, JPA, Hibernate, Kubernetes, Swagger

• Proficiency with Object-Oriented Design (OOD) and Test Driven Development (TDD). Hands on experience with test automation frameworks, such as Junit, Mockito, Cucumber

• Experience with log/metric collection and monitoring technologies, such as ELK stack, Dynatrace, Grafana is a plus

• Hands-on experience with building CICD pipelines using Git, Maven, Jenkins, SonarQube, Fortify, AWS Code Deploy

• Experience with AWS services, such as S3, EKS, SQS, Lambda, Terraform is highly desirable

• Understand and build based on design discussions with data owners and stakeholders for AI/ML solution integration

Preferred qualifications, capabilities, and skills

• Experience with Agile scrum methodology and CI/CD deployment
• Familiarity with Spring framework and Spring Boot applications
• Knowledge of RDBMS, NoSQL databases, and SQL queries
• Knowledge of Cloud technologies (preferably AWS) and Containers