[ITO] (Infra) Software Engineering Manager (Bangkok-based, relocation provided)

Location: Bangkok, Thailand

Department: Information Technology

Get to Know our Team:  

The Infrastructure Team operates all networks, servers, and storage platforms used to deliver services to Agoda’s customers. We support every product within the company, working with a wide range of systems and technology stacks. As part of our team, you will be working on a mission critical private cloud with over 800k cores, spread over hundreds of Kubernetes clusters, OpenStack virtual machines and bare metal servers. 

Each of these opportunities - coupled with an open work environment - are a great way to gain experience on a modern and dynamic platform, constantly evolving to adapt to changes in the business landscape.  

The Opportunity: 

Our Compute Platform team in Bangkok is looking for an experienced Engineering Manager to help scale and evolve our Compute Platform, with a strong focus on inventory, platform tooling, and lifecycle management across bare‑metal infrastructure, virtual machines, and Kubernetes. 

You’ll balance hands‑on technical leadership with people leadership, guiding a small, cross‑functional team while ensuring our platform delivers reliable, high‑quality data and tooling that supports informed decision‑making at scale. 

In This Role, You Will: 

• Stay hands‑on by contributing to system design and code, performing reviews, and providing expert technical guidance and mentorship to engineers at all levels, including interns and junior contractors. 

• Build, lead, and develop a cross‑functional team of software and systems engineers, supported by contractors and interns, operating with agile delivery practices. 

• Drive the research, design, and delivery of inventory and compute platform tooling that improves visibility, efficiency, reliability, and lifecycle management. 

• Own and support design reviews within the team and across the wider engineering organization, helping shape platform standards and technical direction. 

• Own the roadmap, and be accountable for delivery, reliability, and operational outcomes 

• Foster a culture of operational excellence, engineering quality, and continuous improvement. 

• Continuously learn and explore emerging technologies, proactively sharing knowledge and raising the technical bar across teams. 

What You’ll Need to Succeed: 

• 3+ years of experience as an Engineering Manager, leading, coaching, and developing engineers with a mix of seniority and experience levels. 

• Strong hands‑on coding experience in a modern programming language; Golang is preferred as it is our primary language. 

• Experience building or supporting platform tooling for large‑scale compute or infrastructure environments, with an understanding of Kubernetes, OpenStack, virtual machines, and containers. 

• Proven experience with platform stability, resilience, and observability. 

• A strong focus on testing, quality, and delivery, with experience in modern CI/CD environments. 

• A data‑driven, scientific approach to decision‑making, particularly around platform health, delivery outcomes, and performance. 

• Comfort operating with high autonomy at the team level, including setting OKRs/KPIs, prioritizing work, and taking clear ownership. 

• Experience leading Agile/Scrum teams with multiple direct reports. 

• Demonstrated experience using Generative AI tools in day‑to‑day engineering and management workflows (e.g. coding, design, documentation, analysis). 

• Self‑motivated, approachable, and adaptable, with strong communication skills; English is the working language. 

It’s Great if you Have: 

• Experience designing or building asset and inventory management systems at scale. 

• Hands‑on experience with configuration management and automation tools, preferably Ansible and/or AWX. 

• Solid understanding of networking fundamentals and protocols in large‑scale infrastructure environments. 

• Ability to communicate and collaborate effectively across teams and levels within a large organization. 

• Experience using, maintaining, or contributing to open‑source projects. 

• Experience integrating GenAI capabilities into platforms, such as MCP‑based or similar GenAI tooling. 

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