Client: Reward Marketing Agency based in Singapore
Arrangement: Fulltime, Permanent
Responsibilities
- Lead and mentor a team of developers across multiple discipline
- Manage and develop Node.js backend systems within an event-driven, micro-services architecture
- Migrate legacy micro-services from PHP to Node.js while developing new backend features
- Oversee frontend development using Next.js, React, and playable Unity ads
- Coordinate external developers working on Flutter-based mobile applications (with potential to build an in-house team in the future)
- Work closely with product team, UI/UX designers, stockholders, and data specialists
- Collaborate with Data Engineers, Data Analysts, and Data Scientists on AI/ML initiatives
- Implement best practices and coding standards to ensure high-quality code
- Contribute to the development of our technical roadmap and strategy
- Stay current with the latest technologies and trends in AdTech, tracking systems, and application development
Qualifications
- 5+ years of experience with Node.js development
- 2+ years of Full-Stack or Frontend development experience
- Solid understanding of software development methodologies and best practices
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration skills
- Ability to work in a fast-paced environment and adapt to changing priorities
- Management experience leading development teams
- 3+ years of experience with PHP development
- 1+ years of experience with Next.js
- 1+ years of experience with React
- 1+ years of experience with Flutter
- 2+ years of experience with AdTech, Mobile App Events, and Tracking systems (Appsflyer, Adjust, Firebase, Google Analytics)
- Experience with high-volume event processing (10K events/second)
- Familiarity with rewarded ad ecosystems and publisher MMPs (Mobile Measurement Partners)
A Nice to have:
- Experience with Golang is a plus
- Knowledge of AWS Cloud infrastructure and services
- Experience with multiple database technologies (PostgreSQL, MariaDB, Redis, ClickHouse, Scylla/Cassandra)
- Experience with Kafka for event-driven architectures
- Background in Machine Learning/AI implementation in production environments