Full-Stack Engineer

• Serve as a hands-on full stack developer, directly designing, building, testing, and deploying applications aligned with business needs.
• Write high-quality, maintainable code across the front end and back end, actively contributing to core project deliverables.
• Collaborate with cross-functional teams including product, operations, and security to deliver practical, scalable solutions.
• Lead by example through technical execution, driving best practices in coding, testing, debugging, and deployment to ensure high-quality software delivery.
• Explore and implement opportunities to streamline the software development lifecycle through automation, modern engineering practices, and intelligent tooling.
• Participate actively in code reviews, troubleshooting, and debugging efforts, helping resolve complex technical issues quickly and effectively.
• Contribute to architectural decisions and technology strategy with a pragmatic, builder-focused mindset grounded in hands-on development experience.
• Mentor and guide junior developers through day-to-day technical leadership, pairing, code review, and knowledge sharing.
• Ensure applications meet security, compliance, performance, and reliability standards.
• Help manage project timelines and deliverables in partnership with stakeholders, while remaining deeply involved in execution.
• Balance leadership responsibilities with direct technical contribution, operating as a doer who helps move work forward.

• Bachelor’s degree in computer science, Engineering, or related field
• Experience in full stack software development required.
• Finance domain experience is preferred
• Extensive hands-on experience in full stack development, with strong proficiency in modern front-end frameworks (e.g., Angular, React, Flutter, Dart) and back-end technologies (e.g., Java, Spring Framework, Oracle, MongoDB, SQL).
• Strong understanding of REST APIs, cloud platforms, DevOps practices, and modern software development lifecycle processes.
• AI Agentic process engineering & skills
• Demonstrated ability to contribute directly in code, troubleshoot issues, and deliver production-ready software in a fast-paced environment.
• Experience with or strong interest in leveraging AI-assisted development tools, automation, and engineering productivity practices to improve SDLC efficiency and delivery outcomes.
• Excellent problem-solving, communication, and collaboration skills.
• Ability to work effectively in a fast-paced, agile environment with a strong sense of ownership and execution.

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