What you’ll Do:
- Collaborate closely with a diverse and talented multi-national team, to embark on the creation of our next-generation discovery, recommendation, and personalization search system
- Engage in extensive research and development, focusing on cutting-edge technology, to pioneer state-of-the-art algorithms in the realm of relevant search, thereby elevating the capabilities of our platform
- Forge strong partnerships with the engineering and infrastructure team to construct and scale robust back-end search services, while continuously monitoring and enhancing the platform's availability, scalability, latency, and efficiency
- Take on the pivotal role of guiding and mentoring the technical design process, lending your expertise and offering alternative perspectives to engineer's proposals. At LMWN, we employ the RFC for a formal technical review process
- Coach and empower engineers in creating meticulous task breakdowns and implementation plans, striking a delicate balance between business impact, quality, and efficiency. You will adeptly gauge technical development and engineering efforts, discerning when a solution meets the criteria of being 'good enough'
- Demonstrate strategic acumen in designing and orchestrating the rollout of new features into the production environment, prioritizing minimal risk and maximum impact. We routinely conduct experiments, including A/B testing, to evaluate the effectiveness of each feature
- Forge a close partnership with the product team, identifying future opportunities and aligning our technical design to support forthcoming endeavors. This collaboration will enable us to stay agile and adaptable in meeting emerging market needs
What you’ll Need:
- 5+ years of experience in the software development cycle
- Proficient in at least one programming language for backend services, preferably Go or Java
- Strong background knowledge in Elasticsearch
- Ability to establish a high-performance and self-organized work team with suitable processes and procedures.
- Experience with AWS and/or GCP, SQL and/or NoSQL databases, technologies like RabbitMQ, Docker, Kubernetes, and Solr
- Growth mindset and willingness to learn and teach from others
- Strong problem-solving and analytical skills in business requirements and be able to suggest technical solutions or recommended workarounds
- Strong leadership and coaching skills
- Strong and clear written and verbal communication skills in both Thai and English
It’d be Great if you have: (If any)
- Understanding of basic concepts of data science and/or machine learning concepts
- Have a curious and innovative attitude