Director of Engineering

ABOUT CLIENT

Our client is a leading technology company that specializes in supply chain management and quality control solutions.

JOB DESCRIPTION

Oversee and support multiple engineering squads focusing on a SaaS platform.
Promote excellence in software development across various areas.
Work closely with Product Managers, Designers, and cross-functional teams for project delivery.
Take ownership of sprint goals, project delivery, and operational KPIs.
Encourage a culture of continuous improvement and collaboration.
Coach engineers in best practices and architectural decisions.
Advocate for modern SaaS engineering practices and implement them.
Drive the adoption of AI and advanced analytics in supply chain operations.
Recruit, develop, and retain engineering talent.
Represent engineering in leadership discussions on platform evolution and scaling.

JOB REQUIREMENT

A minimum of 5 years of demonstrated experience leading multiple engineering teams (20+ members) in a SaaS product environment.
12 or more years of experience in software engineering with a strong proficiency in backend, frontend, cloud-native development, and APIs; proficient in two or more of Python, Node.js, Google Cloud, Postgres, and API design.
Proficiency in English and strong business acumen are both essential.
Familiarity with agile methodologies and end-to-end delivery in a fast-growth context.
Strong people management, communication, and stakeholder engagement skills.
Experience with AI, analytics, and data-driven systems is a plus.
Strong track record of building scalable, resilient, and secure SaaS platforms.
A commitment to building inclusive, diverse, and high-performing engineering teams.
Enthusiasm for supply chain, sustainability, and technology that has a global impact.

WHAT'S ON OFFER

Enjoy flexible annual leave that prioritizes your well-being and allows you to manage your time.
Embrace flexible working options, whether at home, a coffee shop, or at our global hubs.
Take ownership of projects that you are passionate about, both professionally and socially.
Grow personally and professionally with our investment in your development.
Join a global, diverse, and innovative team comprising individuals from 30+ countries, where unique perspectives drive innovation.
Work closely with colleagues who value your voice, share our values, and support your personal growth.
Participate in remote and hub company and team events that foster team spirit and build a fun culture.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01930

Status:

Close

Related Job:

Technical Lead

Ho Chi Minh - Viet Nam


Product

  • NodeJS
  • Python

Leading the backend development team, providing technical direction, mentorship, and best practices. Designing and implementing scalable, secure, and high-performance microservices-based architectures. Architecting and implementing agentic AI workflows and RAG (Retrieval-Augmented Generation) systems for personalized user interactions and automated coaching features. Overseeing data pipelines and infrastructure required for real-time AI model inference within a microservices-based environment. Collaborating with stakeholders to align on requirements and delivery timelines. Optimizing application performance, monitoring system reliability, and proactively troubleshooting issues. Advocating for CI/CD pipelines, automated testing, and robust version control strategies. Documenting key architectural decisions, APIs, and processes for internal use.

Negotiation

View details

Chief Technology Officer

Ha Noi - Viet Nam


Product

  • Cloud
  • Backend

Planning & designing overall system architecture: Creating a Technology Roadmap for a Game Server system with high concurrency and low latency for global players. Cost optimization: Deciding on the strategy for using Cloud infrastructure (AWS, GCP, Azure) or Hybrid Cloud to balance performance and operational expenses. High-level consultation: Participating in the Executive Board to address the relationship between speed-to-market of features and system stability. Tech-stack selection: Evaluating and finalizing programming languages (Go, C++, Java, Node.js) and processing models (Microservices vs Monolith) suitable for the complex logic of the game. Scalability solution: Directing the development of Auto-scaling, Load Balancing mechanisms, and managing Player State on large clusters. Data management: Designing Database structure (SQL/NoSQL) and Cache system (Redis, Memcached) to handle billions of queries daily without congestion. Ensuring Uptime: Building real-time monitoring and alerting systems to maintain 99.99% Availability. Network security: Implementing solutions to combat DDoS attacks, game fraud (Anti-cheat), and comprehensive user data security. Infrastructure & CI/CD: Standardizing automatic deployment processes to ensure game updates (Hotfix/Update) do not disrupt players. Deployment strategy & Optimization: Developing plans to optimize Cloud Services costs (AWS/GCP/Azure), evaluating the use of Spot Instances, Reserved Instances, or Private Cloud solutions to save operational budget. Meanwhile, establishing 24/7 monitoring and incident response systems.

Negotiation

View details

Platform Engineer

Ho Chi Minh - Viet Nam


Product

  • Backend
  • Devops
  • Data Engineering

Create and maintain distributed infrastructure responsible for handling telemetry, sensory, and control data in cloud and edge environments Develop and operate data ingestion and streaming pipelines connecting robot fleets to the cloud in real-time, including video, joint states, audio, and LiDAR Build and manage backend services and APIs for the developer-facing platform, prioritizing reliability and excellent developer experience Oversee and improve cloud-native infrastructure utilizing Kubernetes, Docker, and infrastructure as code tooling Ensure platform reliability through monitoring, alerting, autoscaling, failover, and incident response Provide support to ML and robotics teams with data infrastructure for training pipelines, policy rollout, and hardware-in-the-loop simulation Implement secure APIs with access control, rate limiting, and usage metering to accommodate scaling efforts

Negotiation

View details