Description

Responsibilities

• Provide technical guidance and direction to support business and technical teams
• Develop secure, high-quality production code and review and debug code written by others
• Drive decisions that influence product design, application functionality, and technical operations
• Serve as a subject matter expert in one or more areas of focus
• Lead team adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while establishing consistent validation standards
• Apply knowledge of Software Development Life Cycle tools and automation capabilities to improve the value realized by automation
• Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices
• Influence peers and project decision-makers to consider leading-edge technologies
• Contribute to a team culture of diversity, opportunity, inclusion, and respect

Qualifications

• Required
  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced proficiency in Java programming
  • Proficiency in automation and continuous delivery methods
  • Proficiency in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)
  • Demonstrated experience leading effective use of approved AI-assisted software development tools 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 designing, deploying, and managing containerized applications using Kubernetes
  • In-depth knowledge of the financial services industry and their IT systems
• Preferred
  • Experience with microservices architecture
  • Proficiency with Spring Boot
  • Experience with Kafka
  • Experience with Cassandra
  • AWS experience or solution architect certification
  • Co-Pilot skills

Key Skills

Education

Bachelor's degree