Summary
We are looking for a Senior Backend Engineer to join the Service Platform Team and grow together with Next Securities. The Service Platform Team builds and maintains the foundational backend infrastructure, shared services, and data services that all other product and engineering teams depend on. You will design system architectures from the ground up, develop core platform services — such as data aggregation and delivery, authentication and identity management, API gateway, and experimentation infrastructure — and own the entire service lifecycle from design through production operations.
[Key Responsibilities]
- Design and build foundational backend microservices that serve as shared infrastructure for the entire organization
- Develop data aggregation services that collect, clean, organize, and serve external vendor data (reference data, real-time streaming data, historical data) to other backend and frontend teams
- Design real-time data delivery systems using event streaming and push-based protocols
- Build authentication and identity management services including OAuth2 integration, token lifecycle management, and security policies
- Develop API gateway services for request routing, authentication, rate limiting, and traffic management
- Implement experimentation infrastructure (feature flags, A/B testing) to enable controlled rollouts and data-driven product decisions
- Collaborate with Backend for Frontend teams, other backend teams, and mobile teams to define platform APIs and service contracts
[Required Qualifications]
- 3+ years of experience as an AI/ML Engineer.
- Bachelor’s degree or higher in Computer Science or a related field.
- Proficiency in modern frameworks such as PyTorch and Hugging Face.
- Experience developing and deploying deep learning models (e.g., GraphSAGE, UniTRec/ModernBERT, PinSAGE) using user behavior logs at a production level.
- 5+ years of experience developing services using LLMs or multimodal models.
- Experience in feature engineering.
- Experience with model serving technologies such as Triton, TorchServe, or BentoML.
[Preferred Qualifications]
- Author of AI-related academic papers or contributor to open-source projects.
- Experience building and operating LLMOps systems.
- Experience in GPU profiling and tuning.
- Experience training and deploying AI models in hybrid cloud architecture environments.
- Proven technical leadership or AI project management experience.
- Experience with deployment and operations using Kubernetes/Docker.
[Global Hiring Notice]
This position is open to global candidates. Work arrangements, employment terms, and requirements may be adapted according to local conditions and applicable regulations.
[Required Application Materials]
- Resume (no specific format required)
- (Optional) Links to GitHub, technical blog, or portfolio.
Contact: HR Team – [email protected]
[Notes]
- Any falsified information found in the submitted materials or during the hiring process may result in cancellation of employment.
- To ensure smooth recruitment, simultaneous applications for multiple positions are not allowed. Please apply carefully.
- Recruitment is on a rolling basis and may close early once a successful candidate is selected.
- Interviews are typically one-on-one or panel-style and last up to one hour.
Summary
We are looking for a Senior Backend Engineer to join the Service Platform Team and grow together with Next Securities. The Service Platform Team builds and maintains the foundational backend infrastructure, shared services, and data services that all other product and engineering teams depend on. You will design system architectures from the ground up, develop core platform services — such as data aggregation and delivery, authentication and identity management, API gateway, and experimentation infrastructure — and own the entire service lifecycle from design through production operations.
[Key Responsibilities]
- Design and build foundational backend microservices that serve as shared infrastructure for the entire organization
- Develop data aggregation services that collect, clean, organize, and serve external vendor data (reference data, real-time streaming data, historical data) to other backend and frontend teams
- Design real-time data delivery systems using event streaming and push-based protocols
- Build authentication and identity management services including OAuth2 integration, token lifecycle management, and security policies
- Develop API gateway services for request routing, authentication, rate limiting, and traffic management
- Implement experimentation infrastructure (feature flags, A/B testing) to enable controlled rollouts and data-driven product decisions
- Collaborate with Backend for Frontend teams, other backend teams, and mobile teams to define platform APIs and service contracts
[Required Qualifications]
- 3+ years of experience as an AI/ML Engineer.
- Bachelor’s degree or higher in Computer Science or a related field.
- Proficiency in modern frameworks such as PyTorch and Hugging Face.
- Experience developing and deploying deep learning models (e.g., GraphSAGE, UniTRec/ModernBERT, PinSAGE) using user behavior logs at a production level.
- 5+ years of experience developing services using LLMs or multimodal models.
- Experience in feature engineering.
- Experience with model serving technologies such as Triton, TorchServe, or BentoML.
[Preferred Qualifications]
- Author of AI-related academic papers or contributor to open-source projects.
- Experience building and operating LLMOps systems.
- Experience in GPU profiling and tuning.
- Experience training and deploying AI models in hybrid cloud architecture environments.
- Proven technical leadership or AI project management experience.
- Experience with deployment and operations using Kubernetes/Docker.
[Global Hiring Notice]
This position is open to global candidates. Work arrangements, employment terms, and requirements may be adapted according to local conditions and applicable regulations.
[Required Application Materials]
- Resume (no specific format required)
- (Optional) Links to GitHub, technical blog, or portfolio.
Contact: HR Team – [email protected]
[Notes]
- Any falsified information found in the submitted materials or during the hiring process may result in cancellation of employment.
- To ensure smooth recruitment, simultaneous applications for multiple positions are not allowed. Please apply carefully.
- Recruitment is on a rolling basis and may close early once a successful candidate is selected.
- Interviews are typically one-on-one or panel-style and last up to one hour.