Mô tả công việc
Tóm tắt công việc
As a Product Engineer, you will drive outcomes across the team and technical system by leading design, implementation, rollout, and operational excellence. You will work primarily in our Ruby on Rails codebase to deliver product features end-to-end. We also have services written in Go (Golang), and you may occasionally contribute fixes or improvements there when needed.
Key Responsibilities
1. 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.
2. 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)
3. 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.
4. 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.
Caring Mental & Physical Recreation:
Hybrid working
Full salary in probation & 13th month salary
Social insurance on full salary from probation
Premium Health insurance from probation
Flexible start 8AM-9AM from Mon-Fri
16 days off annually + 1 Birthday Leave
Paternity leave extra 5 days
Annual company trip; Quarterly team building activities
Club activities
Annual health check
Caring Career & Development:
Clear Career path
Foreign language & International technology-related certifications sponsoring
Well-equipped facility: Macbook pro, additional monitor,..
Soft skill workshops
Tech seminars
Monthly and biannually Recognition Awards
Performance review twice/year
Yêu cầu
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)
Datastores: MySQL, DynamoDB, Redis
Infrastructure: AWS (EKS, ECR, RDS, S3, SQS/SNS), Kubernetes, Docker, Terraform
Tools Used
Communication: Slack, Notion, Zoom
Monitoring: Datadog, Rollbar
Source control: GitHub
CI/CD: Argo CD, CircleCI, GitHub Actions
Ticketing: Jira
Security: Dependabot, SonarQube
Thông tin khác
Ruby on Rails
Ruby
Golang
MySQL
Jira
API
MS SQL
Github
Distributed Systems
RabbitMQ
Elasticsearch
Docker
Redis
Data Modeling
Grafana
Amazon S3
Amazon RDS
Apache Kafka
SonarQube
DynamoDB
AWS
Amazon SQS
Slack
Kubernetes
DataDog
Microservices
Terraform
LLM
Performance tuning
Amazon EKS
Prometheus
ELK
Async
Amazon ECR
Amazon SNS
Zoom
Rollbar
CI/CD
ArgoCD
CircleCI
GitHub Actions
Thông tin chung