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.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s), including Java
Hands-on experience building and maintaining microservices with Spring Boot, including REST APIs with JSON, dependency injection, configuration management, and actuator-based monitoring.
Proficiency in automation and continuous delivery methods.
Previous experience working with relational databases such as Oracle, Postgres, MongoDB, Etc.
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.
Proficient in all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies such as CI/CD, Pair Programming, TDD, Application Resiliency, and Security.
In-depth knowledge of the financial services industry and their IT systems.
Preferred qualifications, capabilities, and skills
Experience using modern cloud technologies such as AWS and frameworks such as S3, Lambdas, Athena, etc.
Practical cloud native experience, AWS preferred.
Experience building and supporting centralized and de-centralized data architectures such as data lakes and data meshes
In-depth knowledge of the financial services industry and their IT systems.
