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.
Gather, analyze, synthesize, and develop visualizations from large, diverse data sets in service of continuous improvement of software applications and systems
Work within an Agile/Scrum environment, contributing to sprint planning, code reviews, and continuous improvement.
Champion best practices in design, architecture, and AWS cloud-native development.
Identify opportunities to eliminate or automate manual processes and recurring issues to improve the overall operational stability of the platform
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
Experience with distributed streaming platform (Kafka)
Proficient in coding in one or more languages: Core Java, Spring boot
Demonstrated knowledge within a technical discipline: Big data stack – Spark, S3, Flink, Cloud technology, AWS, Databricks, Core Java, Spring boot, artificial intelligence)
Strong understanding of data, data modeling and database methodologies and architecture disciplines
Advanced SQL and data management knowledge
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Experience with AI tools like Claude / Github co pilot
Preferred qualifications, capabilities, and skills
AWS Cloud Certification and other relevant certifications are a plus
Data Engineering Experience
