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Key Responsibilities● Work with product owners and other development team members to determine new features and user stories needed in new/revised applications or large/complex development projects● Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate● Respond to trouble/support calls for applications in production in order to make quick repair to keep application in production● Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives● Mentor less experienced technical staff; may use high end development tools to assist or facilitate development process● Advanced proficiency in Object Oriented Design (OOD) and analysis. Advanced proficiency in application of analysis/design engineering functions. Advanced proficiency in application of non-functional software qualities such as resiliency, maintainability, etc. Advanced proficiency in advanced behavior-driven testing techniquesOur Stack● Application Framework: Java 8, Spring Boot● Microservices: Spring Cloud (Spring Cloud Config / Open Feign / Spring Cloud Hystrix / Spring Cloud Gateway)● Database: MySQL (Aurora / RDS)● Public Cache: ElastiCache, Redis (MS, Sentinel, cluster)● Message Queue: Apache RocketMQ, RabbitMQ, Kafka● Coordinator: Zookeeper● APM: Jaeger, opentracing● Documentation: Springdoc-OpenAPI● Search and Reporting: ElasticSearch● Log Real-time Visualization: ELK, Loki● Monitoring: Prometheus, Grafana, CloudWatch● Container: Docker, Kubernetes● CI/CD: Jenkins, ArgoCD

1.擔任核心開發者,承擔關鍵任務攻關2.保證所負責系統的穩定性、高性能、可擴展性

If you● Are a self-driven DevOps Engineer with proven experience in large-scale micro-service systems hosted on AWS● Have a deep understanding of cloud architecture, AWS technologies and cloud security best practices● Are following the latest industry trends and are passionate about cloud computing for large-scale systems Key Responsibilities● Work in a team of DevOps and DBA professionals – initially 3 people, although this will expand throughout the country expansion● Improve existing infrastructure and CI/CD procedure● Holistically improve all aspects of our infrastructure, including reducing costs, improving build and deployment times, streamlining environment provisioning, lowering load times, incorporating the latest techniques and technologies, and more● Monitor and maintain the existing cloud infrastructure via autoscaling, automated alerts● Take ownership and responsibility for our cloud operation activities● Liaise with external security agencies for annual audits as well as perform our own internal security sweeps● Aid in reconfiguring existing architecture to allow for rapid deployments to new countries● Report to DevOps Leader/DirectorOur Stack● Backend Application Framework: Spring Boot (Java Config + Embedded Tomcat)● Frontend Application Framework: VueJS● Micro Service Framework: Spring Cloud Dalston (Netflix Eureka + Netflix Eureka + Netflix Ribbon + Feign)● Database: AWS RDS, RDS Proxy, MONGODB● Public Cache: AWS ElastiCache + Redis● Message Queue: Apache RocketMQ, RabbitMQ● Distributed Scheduling: Dangdang Elastic Job● Data Index and Search: ElasticSearch● Log Real-time Visualization: ElasticSearch + Logstash + Kibana, Grafana Loki● Business Monitoring: Prometheus + Grafana● Reverse Proxy: Nginx● CDN: Cloudflare● Server Virtualization Container: AWS EKS + AWS EC2● Server Operation System: CentOS● Static File Storage: AWS S3● Inner DNS Resolution: AWS Route 53● Network Management: AWS VPC● Cluster Management and Scaling: AWS OpsWorks● Cluster Monitoring: Prometheus + AWS CloudWatch● HTTPS Certificate Management: AWS Certificate Manager● Malicious Attack Defending: AWS WAF Shield● Cluster Alert: AWS SNS + Slack● Continuous Integration/Deployment: Jenkins, Rancher, ArgoCD● Configuration Tool: Ansible, Chef, Sal

晧飛思（Heph A.I Studios）是一家專注於 AIGC（AI 生成內容）的創新公司， 致力於打造 數字人（Digital Human）、語音互動（Speech AI）、虛擬主持人（AI Host）、智慧櫃檯（Smart Concierge）、AI 虛擬助理 等新世代 AI 產品。 我們相信未來的人機互動，不只要即時、自然，更要能帶來情感連結。 後端團隊在這當中扮演核心角色：串接大型語言模型（LLM）、影音流處理、推論系統部署、API 設計與效能優化。 我們正在尋找一位 能主導 AIGC 應用後端架構與效能優化的資深 Backend 工程師，負責設計高效、穩定、可擴展的 AI 應用服務，並與 AI 研究與產品團隊協作，打造高互動性的語音與數字人體驗。

協助專案經理，完成業務及產品需求。根據產品需求設計規劃資料庫與系統環境、和撰寫系統、介面。對即有服務 API 介面，提出效能優化方案。對即有負責的產品技術架構升級。協助開發團隊導入新技術。協助開發團隊 Code Review 及開發問題。

Restful API 開發與維護。功能性開發 / 測試程式開發與效能優化。主動針對開發中技術難點提出解決方案。產品技術升級 。學習新技術與分享知識。編寫開發文檔、技術資料等。細心、積極、思考邏輯清晰。

Java 開發工程師 【職務說明 What you will do】 1. 以 Java 程式語言及 Spring boot 框架進行微服務開發 2. 根據系統規格書進行 API 服務設計以及開發與測試等工作 3. 設計符合專案所需的系統架構功能與測試等相關工作

【Key Responsibilities】 1. Design, develop, and maintain scalable backend services and RESTful APIs using Java and Spring frameworks. 2. Collaborate with cross-functional teams to translate business requirements into technical solutions, with increasing ownership as experience grows. 3. Implement and maintain secure systems using JWT for authentication and Casbin for role-based access control. 4. Perform database operations and optimizations on PostgreSQL and MongoDB, including schema design and query tuning. 5. Manage database schema changes using Flyway or similar migration tools. 6. Write and maintain unit and integration tests using JUnit, Mockito, and Testcontainers to ensure code quality and system reliability. 7. Participate in code reviews, debug production issues, and contribute to system performance optimization. 8. Work with DevOps teams to support CI/CD pipelines using Git, Docker, Kubernetes (K8s), and related tools. 9. Deploy and monitor applications in cloud environments (AWS/Azure), with increasing autonomy in infrastructure decisions at senior levels. 【Must-Have Skills】 1. Programming Language: Proficient in Java (Junior: basic proficiency with willingness to learn; Senior: deep expertise in concurrency, JVM tuning, and design patterns). 2. Framework: Experience with Spring ecosystem (Spring Boot, Spring Security, Spring MVC); Junior: foundational understanding; Senior: advanced configuration and custom extension. 3. Database: Working knowledge of PostgreSQL (essential); experience with MongoDB (preferred). 4. Version Control: Proficient in Git for collaborative development and branching workflows. 5. Testing: Hands-on experience with JUnit and Mockito for unit and integration testing. 6. Security: Practical implementation of JWT for authentication. 7. Deployment: Familiarity with containerization (Docker) and orchestration (Kubernetes), with ability to deploy and troubleshoot in cloud environments.

We are looking for an experienced Senior Software Engineerwho is passionate about building high-performance backend systems. You will work closely with a talented engineering team in an Agile environment, contributing to all stages of product development — from architecture design, coding, code review, to production operations. Our product is a next-generation social platform that integrates social media, personalized feed, rating review systems, community engagement, social gamification, real-time chat, and merchant services. The platform is built with a complex microservice architecture, designed to handle millions of users, massive data streams, and high concurrent traffic efficiently. The system is deeply integrated with AI, leveraging machine learning and large language models (LLMs) to enable content understanding, recommendation, fraud detection, and intelligent moderation. You will have the opportunity to work closely with AI engineers to design scalable APIs, data pipelines, and backend infrastructures that power these intelligent features across the social ecosystem.Mô tả công việcDesign, develop, and maintain backend services using Java (Spring Boot / Vert.x / Quarkus) and Kotlin;Build and integrate RESTful APIs, gRPC services, and external third-party systems;Design scalable, reliable, and fault-tolerant architectures that meet performance and business requirements;Write clean, maintainable, and testable code following SOLID principles and modern best practices;Conduct code reviews, optimize performance, and improve database queries (MySQL / MongoDB / Redis / Kafka / ElasticSearch/ HBase/ ClickHouse);Collaborate with DevOps teams to implement and maintain CI/CD pipelines (ArgoCD, Docker, Kubernetes, GitLab CI) across cloud environments (AWS / GCP / Azure);Apply best practices for performance tuning, caching, monitoring, logging, and observability;Work closely with AI and data teams to integrate backend services with machine learning and data pipelines;Mentor and support junior developers, fostering a culture of technical excellence and continuous improvement.Yêu cầu công việcBachelor’s degree in Computer Science, Software Engineering, or a related field;3–6+ years of hands-on experience in Java (Kotlin) development for production systems;Strong proficiency in Spring Boot or Vertx, with understanding of reactive or asynchronous programming;Experience with REST / gRPC APIs and message queues (Kafka, RabbitMQ);Solid understanding of OOP, design patterns, concurrency, and memory management;Experience working with OLAP systems, data analytics pipelines, or data warehousing technologies;Proficient in working with SQL / NoSQL databases (Oracle, MongoDB, Redis, HBase etc.);Familiar with Docker, Kubernetes, and cloud environments (AWS / GCP / Azure);Strong problem-solving skills, logical thinking, and a sense of ownership;Good communication and collaboration skills across teams.

《Responsibilities》 1. 開發，更新及維運自動化相關平台。 2. 規劃設計DevOps CI/CD pipeline流程。 3. 支援建置或維運DevOps所需Eco system(Kubernetes/Pipeline/Monitoring/Logging/Container registry)。 4. 進行DevOps相關技術與流程的深入研究及分析，整合資訊並提出建議。 5. 重視溝通、主動積極、有負責感、配合度高、重視團隊合作、提出開發改善流程。 6. 對技術有熱情，具備自我學習及研究的能力。 《Qualification》 1. 三年以上Java開發經驗。 2. 熟悉Spring boot。 3. 熟悉透過 git 程式碼版控, 使用 GitHub flow 多人團隊合作。 4. 熟悉RESTFul API, SOAP觀念. 開發清晰的 API 以及與各系統串接。 5. 熟悉CI/CD流程實作與容器化的導入及維運經驗。 6. 具備 Gitlab-CI/Ansible/Jenkins/Helm/Kubernetes yaml等IaC(infrastructure as code)撰寫與實作的經驗。 7. 在 AWS、GCP、Azure 等雲端平台中至少具備一種相關維運工作經驗，尤其以 Azure 為佳。 8. 熟悉在 Linux 作業系統下進行指令操作。