oin us as a Full Stack Engineer for an exciting journey as we modernize our core platforms to make them Simpler, Leaner and more Efficient. You will utilize your strong industry and domain expertise to shape up our Technology product offerings to meet the Business requirements for the future. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences
To be successful as a Full Stack Engineer, you should have experience with:
- Strong experience as a Full Stack Engineer building cloud native applications using Java, Spring Boot, and modern architecture
- Strong experience with AI-assisted developer tools such as GitLab Duo, GitHub Copilot, and Claude to enhance productivity, code quality, and development workflows
- Proficient in developing and consuming REST APIs, with hands on experience in CI/CD, GitLab, SonarQube, and Wiz
- Experience with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB) and scalable system design
- Build features across UI, APIs, and data layers using Java 21+, Spring Boot 3.x, Angular and React/Next.js, ensuring clean integration and adherence to standards
- Good knowledge of monitoring, logging, and troubleshooting tools (e.g., CloudWatch, CloudTrail).
- Ensure production ready, observable, and resilient releases, leveraging Kafka and API standards (OpenAPI/TypeSpec)
- Design, develop, test, and deliver end to end full stack solutions with strong focus on quality, performance, and maintainability
- Apply engineering best practices and maintain high code quality through reviews and continuous improvement
- Collaborate with Product Owners, BAs, and engineers to define requirements and assess feasibility.
- Support sprint planning and estimation, and own delivery of committed work end to end.
- Drive definition of done, including unit/integration testing (JUnit 5, Cucumber BDD) and strong nonfunctional quality standards.
Some other highly valued skills may include:
- Experience in financial services/technology
- Strong communication and stakeholder management
- Experience in undertaking spec driven development using AI Dev agents
- Knowledge of Python skills with experience in GenAI and agentic frameworks
- Good understanding of LLMs, AI Agents, NLP, and Conversational AI
- Proven expertise in prompt engineering and optimization
- Design and deliver scalable, high-quality software solutions
- Collaborate across product, design, and engineering teams
- Promote code quality, reviews, and knowledge sharing
- Follow secure coding and testing best practices
- Apply observability practices (latency, cost, quality monitoring)
- Drive cybersecurity practices including risk assessment, controls, and awareness.
- Manage incidents and adopt emerging security solutions.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.