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, certification, or equivalent experience in Software Engineering with 5+ years of applied experience designing, developing, and delivering enterprise software solutions.
Hands-on experience in system design, application development, testing, deployment, and operational support of scalable and resilient applications.
Advanced proficiency in one or more programming languages, with demonstrated ability to develop high-quality, maintainable, and secure code.
Demonstrated experience using AI-assisted software development tools to improve engineering efficiency, including code generation, code reviews, testing, troubleshooting, and documentation, while ensuring output quality, security, and performance standards.
Strong understanding of Responsible AI practices within engineering workflows, including data sensitivity, secure handling of inputs and outputs, compliance with enterprise standards, and coaching team members on safe AI adoption.
Proficient in all phases of the Software Development Life Cycle (SDLC), including requirements analysis, design, development, testing, deployment, monitoring, and support.
Advanced understanding of Agile software development methodologies, CI/CD pipelines, application resiliency, observability, and security best practices.
Experience developing and supporting technology solutions within the financial services industry or other highly regulated environments.
Hands-on experience building and deploying cloud-native applications, leveraging modern cloud platforms, microservices, and distributed architectures.
Strong server-side development experience with Java, JEE, Spring, Spring Boot, REST APIs, Kafka, JUnit, integration testing, and Behavior-Driven Development (BDD) practices.
Proven programming and coding expertise with a passion for delivering high-quality, scalable, secure, and production-ready applications that drive business value.
Preferred qualifications, capabilities, and skills
Strong analytical and problem-solving skills, with the ability to evaluate multiple solution options and make sound technical decisions with limited oversight.
Working knowledge of financial services technology environments, controls, compliance expectations, and regulatory considerations.
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field, or equivalent practical experience.
