Senior Backend Engineer(Global Hiring)
직무
AI Engineer
경력사항
경력 3년 이상
고용형태
정규직
근무지
여의도 본사서울특별시 영등포구 국제금융로 10, 3IFC 15층 넥스트증권
원격근무 가능

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.
공유하기
Senior Backend Engineer(Global Hiring)

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.