Engage in code reviews; promote TDD/BDD practices to ensure maintainability and quality.
Assist in demonstrating service scalability and resilience using mock frameworks, performance testing, and related tools.
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Hands-on practical experience in core Java across the Software Development Life Cycle, including system design, application development, testing, CI/CD pipelines, and operational support.
Experience with messaging and streaming technologies such as Kafka, IBM MQ, Rabbit MQ, MSK...
Working knowledge of SQL and NoSQL databases, and event-driven architectures.
Experience with caching systems like Redis, GemFire, or Apache Ignite
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.
Experience with distributed systems concepts and building services in patterns such as microservices and RESTful APIs.
Practical understanding of DevOps toolchains, and agile, test-driven delivery.
Hands-on exposure to AWS cloud services and ecosystems
Preferred qualifications, capabilities, and skills
Familiarity with modern front-end technologies (React)
Familiarity with trading systems; exposure to the FIX protocol is a plus.
Ability to solve complex, mission-critical problems with a pragmatic, hands-on approach.
Continuous learner and early adopter of emerging technologies and methodologies.
