Director, Software Engineering

JOB DESCRIPTION

Your Impact
As the Director of Platform Engineering you will own the foundational technologies, building blocks, and services that drive Our Client's public safety cloud around the world. You will lead and grow a world-class group of engineers in Vietnam to build solutions to Our Client’s scalability, networking, platform engineering, storage, and infrastructure problems. Not afraid of scale, you will find solutions to complex engineering challenges driving petabytes of traffic every month and billions of transactions per day.
We need someone willing to be fearless and more than willing to take on bold challenges. Through great products and accelerating the adoption of our technologies, you'll help protect life and build a justice system that serves our communities better everyday. Your leadership and team deliverables will improve everyday outcomes around the world.
You have a strong background in leading fast growing engineering teams. You have worked with stakeholders around the world. You own it, always.
What You’ll Do:
Location: Ho Chi Minh City, Vietnam
Reports to: VP Software Engineering in Vietnam
Direct Reports: Senior Managers, Staff Software Engineers
Lead Our Client’s Platform Engineering Group in Vietnam
Deliver highly available, operationally excellent foundational services used by all Our Client's customers both inside and outside of the company
Partner with peer software engineering teams and information security to efficiently deliver high quality, secure products and services
Deliver vision and execution roadmap for technical initiatives aligned with business needs
Raise the bar on cost efficiency, developer productivity, operational excellence, storage and compute infrastructure, quality, and unified UX across the company

JOB REQUIREMENT

Bachelor’s Degree in Computer Science, Engineering, or an equivalent technical field
At least 10 years of experience in software engineering building distributed systems, with a minimum of 5 years in a leadership role leading managers of managers.
A deep understanding of how to deliver software to production with high quality and high velocity
A strong background deploying and running microservices at scale on Kubernetes in cloud environments such as AWS, Microsoft Azure, or GCP
Ability to deliver results while dealing with ambiguity and balancing multiple competing priorities in a fast-paced environment
Proven experience interacting with multiple stakeholders such as business leaders, engineering leaders, compliance and security teams
Proven ability to manage and mentor a high-performing engineering team.
Excellent interpersonal and communication skills, with the ability to convey complex technical ideas to various stakeholders.
Fluent in English, with Vietnamese language skills being a plus.
The ability to engage effectively with colleagues in multiple different time zones using written communications and other tools.

WHAT'S ON OFFER

Medical and Dental Insurance
Vision Insurance
Robust Paid Time Off policy
Bonuses
Lunch allowance
Cell phone stipend
Free LinkedIn Learning account
Access to 24/7 online emotional and mental support
Gym membership
Free parking
Stocked fridges and pantries - free coffee, cold beverages, snacks
Annual Company Outing Trip
Monthly team social activities

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:

Offshore, Product B2B

Technical Skills:

Backend, Devops, Kubernetes, Cloud

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01326

Status:

Close

Related Job:

Software Engineer

Ho Chi Minh - Viet Nam


Product

Create and develop the API Platform with a focus on reliability, performance, and providing a top-tier developer experience Deploy and enhance AI/ML models in scalable, production environments in collaboration with research and applied ML teams Manage and advance a contemporary, cloud-native infrastructure stack utilizing Kubernetes, Docker, and infrastructure-as-code (IaC) tools Ensure platform dependability by designing and implementing telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms Contribute to developer and operations workflows, encompassing CI/CD pipelines, release management, and on-call rotations Work collaboratively across teams to implement secure APIs with fine-grained access control, usage metering, and billing integration Continuously enhance platform performance, cost-efficiency, and observability to accommodate scaling and serve users globally.

Negotiation

View details

Software Architect

Others - Viet Nam


Outsource

  • .NET
  • AWS
  • AI

Lead the development of scalable full-stack applications. Optimize database schemas and queries for secure, high-performance systems with strong data integrity. Make key architectural decisions that balance scalability, performance, maintainability, and developer experience while mentoring engineers. Implement DevOps into the development lifecycle by managing CI/CD pipelines and overseeing infrastructure-as-code. Plan, design, and implement cloud infrastructure using cloud services to ensure system availability, scalability, and cost efficiency. Collaborate with cross-functional teams to define system architecture and align on technical direction to support product goals and timelines. Continuously explore, assess, and adopt modern tools, frameworks, and best practices to boost engineering productivity, code quality, and system resilience.

Negotiation

View details

Senior Software Engineer, Machine Learning

Ho Chi Minh - Viet Nam


Product

  • Machine Learning

Building and maintaining high-scale ML pipelines using big data technologies (Spark, BigQuery, Delta Lake), writing reliable, testable, and maintainable production-ready code. Leveraging modern ML platforms like Vertex AI or Databricks to orchestrate workflows and optimizing models for both batch/offline training and real-time/streaming inference with a focus on low latency. Gaining a deep understanding of specific domain challenges (e.g., fraud detection, location spoofing) to engineer better features and network-level intelligence that go beyond algorithms. Championing best practices in software engineering, including CI/CD, automated testing, code reviews, and documentation to ensure ML systems are built to software engineering standards, not just research scripts. Acting as a technical lead for projects, defining milestones and ensuring on-time delivery, mentoring Data Scientists on engineering best practices, and collaborating with other engineers to integrate models into the wider platform.

Negotiation

View details