We’re working with a fast-growing AI start-up that’s transforming how people and organisations get work done. They've raised over $70M and are scaling quickly.
Responsibilities:
- Lead and manage the backend engineering team, driving high-quality development and strategic technical planning.
- Take an active role in system architecture design, ensuring performance, reliability, and scalability across services.
- Own the development and optimisation of core features, tackling complex technical problems and fostering innovation.
- Design and maintain robust backend systems, including microservices, distributed architectures, and high-performance APIs.
- Oversee code quality through regular reviews, provide technical mentorship, and implement best practices across the team.
- Collaborate closely with product, frontend, and AI teams to ensure smooth and efficient cross-functional execution.
- Coach and support team members in developing their technical capabilities and enhancing productivity.
- Stay abreast of backend technology trends and identify opportunities to adopt cutting-edge tools and methodologies.
Qualifications:
- Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
- 5+ years of backend development experience, including 2+ years in a team leadership role (team size: 3–8).
- Strong command of Golang and proven expertise in building microservices, distributed systems, and high-performance backend services.
- Deep understanding of relational and NoSQL databases (e.g. MySQL, PostgreSQL, MongoDB) with a focus on optimisation.
- Experience deploying and managing services on cloud platforms such as AWS, GCP, or Azure.
- Skilled in handling large-scale data processing and high-concurrency system design.
- Fluent in English (native-level) with conversational Mandarin for effective collaboration across regions.
- Strong leadership and communication skills, with a track record of guiding teams and delivering results.
- Passionate about technology, with a growth mindset and a keen interest in the AI space.