Product Engineer (Threat Investigation)

Team: Software Development

Location: Singapore, Singapore

Commitment: Full-time

Workplace Type: onsite

Key Responsibilities:

• Collaborate with diverse stakeholders to gain a deep understanding of user challenges and operational requirements, and leverage these insights to design and develop intuitive, user-friendly solutions that drive effective outcomes.
• Design, develop, and deploy scalable web applications using industry-standard full-stack technologies and frameworks (such as React, Spring Boot, and Kubernetes) to improve operational efficiency and optimize user workflows.
• Design, develop, and deploy scalable data processing systems using industry-standard technologies and frameworks to ingest, transform and enrich datasets with high performance and reliability.
• Design and implement APIs to facilitate seamless communication between frontend applications and backend microservices, databases, and in-house systems.
• Leverage and integrate frontier AI models into web applications and data systems, building robust pipelines to optimize complex user workflows and drive productivity.
• Provide ongoing support and maintenance for production software systems, ensuring reliability, resolving issues promptly, and implementing updates to optimize performance and stability.
• Opportunity to explore and leverage cutting-edge AI tools across the software development lifecycle to enhance coding efficiency, automate testing, improve debugging, and accelerate delivery.

Requirements (Minimum Qualifications):

• Background in computer science, software engineering, information technology or related fields.
• At least 3 years of experience in software engineering for Senior Engineer
• Proficient in Java, Python and Javascript/Typescript.
• Proficient in at least one of the following frameworks: React, Spring Boot.

Nice-to-haves:

• Familiar with database concepts, queries and optimisation techniques.
• Familiar with DevOps and SRE concepts.
• Good understanding of Linux/Unix environment.
• Experience in working on Cloud environment eg. Google, AWS, Azure.