Proactively identify hidden problems, risks, and patterns in data and systems. Raise them early, propose solutions, and drive improvements to coding hygiene and system architecture without waiting to be asked.
Use enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation). Validate outputs through peer review, automated testing, and secure coding standards, and share learnings and reusable patterns with the team.
Apply knowledge of Software Development Life Cycle tools, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized by automation.
Produce architecture and design artifacts for complex applications and be accountable for making sure design constraints are met in code.
Gather, analyze, and synthesize large, diverse data sets, and build visualizations and reporting for continuous improvement of applications and systems.
Contribute actively to team ceremonies, code reviews, and knowledge sharing. Support and mentor peers to build a culture of trust, inclusion, and continuous learning.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and applied experience, 3+ years applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability for mission-critical, high-volume financial services applications
Proven experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages — for this role, Java (Spring / Spring Boot) and SQL (Oracle), including MyBatis and/or Hibernate data-access layers
Experience building and consuming RESTful services and event-driven integrations (Apache Kafka); experience with modern front-end frameworks (Angular / React / TypeScript) is a plus
Experience operating services on containerized / cloud-native infrastructure (Docker, Kubernetes/GKP) with CI/CD pipelines (Jenkins / Jules), source control (Bitbucket/Git), and work tracking (JIRA)
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
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Interpersonal and professional
Communication: Strong verbal and written communication skills, with the ability to explain technical decisions, escalate issues, and align stakeholders effectively
Teamwork: Proven ability to work collaboratively in cross-functional, multicultural, and geographically distributed teams
Proactivity: Self-starter who anticipates problems, proposes improvements, and takes initiative beyond assigned tasks
Ownership: Strong sense of accountability for deliverables, production stability, and outcomes, from design through support
Adaptability: Comfortable working in a dynamic, fast-paced environment with shifting priorities and time-sensitive business needs
Problem-solving and critical thinking: Structured, analytical approach to complex problems and sound judgment on trade-offs
Continuous learning: Curiosity and willingness to learn new technologies, business domains, and practices, and to share knowledge with others
Preferred qualifications, capabilities, and skills
Familiarity with modern front-end technologies
Exposure to cloud technologies
Interest in or exposure to financial markets, especially FX and/or Rates products
Professional proficiency in English
