#210588581
nd reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s)
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Hands-on experience in system design, application development, testing, and ensuring operational stability, with a strong proficiency in Java/J2EE, including language fundamentals, core APIs, web services, and design patterns
Skilled in implementing Microservices using Spring Boot and Event-Driven architecture, with expertise in enterprise systems utilizing Domain-Driven Design (DDD) and Command Query Responsibility Segregation (CQRS) patterns
Proficient in designing and developing applications using AWS services such as ECS, EKS, Aurora Database, SQS, SNS, and EventBridge
Experience in messaging-based integration and microservices using Kafka, with a focus on complex interactions between client UIs and middleware systems through object-oriented design patterns and the Spring Framework
Proficient in Java performance tuning, multi-threaded/concurrent programming, and working with databases, including DB2
Experience in software applications and technical processes across various technical disciplines, including cloud, artificial intelligence, machine learning, and mobile technologies
Preferred qualifications, capabilities, and skills