Software Engineering Manager

Visa; Singapore; Hybrid; SGD 108,000 - 135,000; Full time

Job summary

A leading global financial technology firm is seeking a technical leader to manage engineering responsibilities and mentor a team. This hybrid role emphasizes high scalability, security, and the integration of generative AI tools. Candidates should have substantial technical experience and a passion for teamwork.

Qualifications

• 5+ years relevant work experience or equivalent qualifications.
• Strong understanding of generative AI and security practices.
• Experience collaborating with technical and business partners.

Responsibilities

• Lead engineering responsibilities and mentor a team.
• Evaluate technical options and recommendations for solutions.
• Integrate AI solutions into existing systems and maintain quality standards.

Skills

Java 8+

REST APIs

Agile development

Continuous integration

Continuous delivery

Generative AI models and tools

Education

Bachelor's Degree

Master's Degree

PhD

Job description

The role at our organization involves engaging in extensive hands-on activities and collaborating with product owners and technical staff globally to define requirements for new features and enhancements to the platform. You will be responsible for evaluating technical options, providing recommendations on the scope and scale of effort required to develop end-to-end solutions, and managing and mentoring a team of talented engineers.

As a key member of our team, you will take ownership and lead the engineering responsibility for multiple components of the platform, with a focus on security, high scalability (3000+ TPS), and ensuring six nines of availability. Your role will also involve actively participating in defining architecture, creating solution documents, and engaging in hands-on activities such as low-level design, code review, coding, and unit testing.

Encouraging and ensuring the team utilizes GenAI tools to enhance software development processes will be a crucial aspect of your responsibilities. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, coordinate engineering activities across project delivery, and work with engineers to ensure efficient and high-quality standards are maintained.

Identifying and managing risks at all stages of the project, building a culture of engineering excellence within the team, driving adoption of best practices, and identifying opportunities for further enhancements and refinements to standards, processes, and systems will also be part of your role.

This is a hybrid position, and the expectation of days in the office will be confirmed by your Hiring Manager.

Basic Qualifications:

• 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g., Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.

Preferred Qualifications:

• 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g., Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
• Experience delivering complex projects involving domain knowledge, distributed architecture, technical stack, and collaborating with multiple technology and business partners.
• Strong understanding of generative AI models and tools, familiarity with GenAI tools, and experience as a technical leader.
• Proficiency in Java 8+, REST APIs, JSON, Agile development, continuous integration, and continuous delivery.
• Experience with shift-left practices, performance testing, and collaborating with security teams to implement secure coding techniques.

If you are passionate about working with people, mentoring your team to reach new heights, and possess the required qualifications and experience, we encourage you to apply for this exciting opportunity.