Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
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
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience.
8+ years of software development experience.
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Strong understanding of computer science fundamentals, algorithms, and data structures.
Strong knowledge and practical experience with Java, Spring Framework (Spring Boot, Spring MVC, Spring Data), RESTful APIs, and Microservices architectures.
Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket.
Proficiency in designing and implementing data models for relational databases.
Experience with using relational database like MS SQL Server.
Experience working on Cloud platform (AWS/GCP/Azure).
Preferred qualifications, capabilities, and skills
Experience in Python/Golang and any front technologies like React and NodeJS
Experience in Identity and Access Management.
Experience to cloud services such as AWS S3, EC2, EKS, IAM, and Lambda.
Experience in Cloud and Container based development (Gaia, Kubernetes).
