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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
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging 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 3+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Solid programming skills with Java . Working knowledge of AWS.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Proficiency in Java/J2EE and REST APIs, Web Services and experience in building event-driven Micro Services and Kafka streaming
Experience in Spring Framework and AWS Services in public cloud infrastructure. Experience in RDBMS and NOSQL databases.
Working proficiency in developmental toolsets like GIT/Bit Bucket, JIRA, Maven. Proficiency in automation and continuous delivery methods.
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
Preferred qualifications, capabilities, and skills
Python, Snowflake, MongoDB, Postgres, Terraform .
Experience in cloud engineering including Pivotal Cloud Foundry, AWS.
Experience in PERF testing and turning as well as shift left practices.
Experience in big data technologies: Hadoop, Hive, Spark, Kafka.