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← MONEY FORWARD VIETNAM CO.,LTD

Principal Software Engineer Ruby on Rails/AI

MONEY FORWARD VIETNAM CO.,LTD · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Not Available, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • 7 million B2C users; 140,000+ business customer
  • Technical Leadership
  • Ruby on Rails: Design, develop, and operate backend features in a Ruby on Rails and core services, with strong software engineering fundamentals and pragmatic delivery.
  • API & Services: Design and evolve RESTful APIs and service boundaries with clear tradeoffs and maintainable interfaces.
  • Data & Performance: Model data effectively and optimize SQL performance; identify and address bottlenecks and system inefficiencies.
  • Cloud-Native Delivery: Architect and operate cloud-native applications on AWS (and related tooling) with pragmatic use of Docker/Kubernetes where appropriate.
  • Operational Excellence: Improve observability (logs/metrics/traces), incident response, and post-incident learning to raise system reliability.
  • Delivery Ownership & Cross-Functional Collaboration
  • End-to-end Delivery: Own delivery from problem definition through production rollout, ensuring quality and operational readiness.
  • Stakeholder Collaboration: Partner with Product, Design, QA, and DevOps to clarify requirements, reduce ambiguity, and deliver outcomes aligned to business goals.
  • Release Management: Plan and execute production releases, coordinate stakeholders, and continuously improve deployment safety and speed (CI/CD)
  • Engineering Excellence & Quality
  • Code Quality: Set and model best practices for clean, maintainable code; lead strong code review culture.
  • Testing & Automation: Increase confidence and reduce manual testing via effective automated tests and robust review processes.
  • CI/CD: Operate and improve CI/CD pipelines (CircleCI/GitHub Actions or similar) to support frequent and safe delivery.
  • Security & Scalability: Ensure AI-assisted speed never compromises security, privacy, scalability, or compliance requirements.
  • AI-Assisted Delivery Practices
  • Rapid Iteration: Use AI to speed up prototyping and iteration (requirements exploration, code scaffolding, test generation, refactoring).
  • Verification & Governance: Quickly identify flaws in AI-generated output and correct them; maintain strong human verification habits (testing, reviews, threat modeling).
  • AI-Friendly Documentation: Improve the clarity of logs, runbooks, and technical documentation so both humans and AI tools can understand and operate the system effectively.
  • Scope & Collaboration
  • Primary focus is Rails-first backend/API delivery, with pragmatic cross-functional reach (infra/observability/quality) as needed to unblock outcomes.
  • You will collaborate across time zones with global stakeholders and engineering partners.
  • Your Skills and Experience
  • Required Skills & Competencies
  • Experience: 5+ years of software engineering experience, including significant experience building and operating production web applications.
  • Ruby on Rails: Strong proficiency with Ruby on Rails (or a strong willingness and demonstrated ability to ramp up quickly and work day-to-day in a Rails codebase).
  • Distributed Systems: Experience designing and operating web services and microservices in production environments.
  • Cloud: Strong hands-on experience with AWS and cloud-native development practices.
  • Databases: Deep knowledge of relational databases and practical experience with data modeling and SQL performance tuning.
  • Delivery Leadership: Demonstrated ability to lead projects end-to-end and coordinate releases across stakeholders.
  • Collaboration: Strong communication and ability to work effectively with cross-functional teams.
  • Language: Professional English proficiency for global collaboration.
  • Preferred Skills
  • Kubernetes/EKS experience in production.
  • Monitoring/logging experience (e.g., Datadog, Prometheus, Grafana, ELK).
  • Message brokers/event-driven architectures (e.g., Kafka, RabbitMQ).
  • Experience integrating LLM APIs into products or internal tools (prompting, async workflows, handling non-deterministic outputs).
  • Technology Stack
  • Languages: Ruby on Rails (core), Go (selected services)

Quyền lợi

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