[Infra] Staff/Lead Software Engineer – Compute Platform (Bangkok Based, relocation provided)

A core part of the team's roadmap is ACP (Agoda Compute Platform), our in-house, lightweight orchestration stack for dedicated-resource virtual machines on bare metal, alongside broader fleet lifecycle tooling and automation.

The Opportunity

Our Compute Platform team in Bangkok is looking for an experienced Staff/Lead Software Engineer to take technical ownership of ACP and our wider fleet and compute platform. You will be a senior, hands-on individual contributor: someone who can independently design, build, and drive the architecture of large-scale infrastructure systems, while mentoring other engineers and representing the team as a technical point of contact across Agoda's engineering organization.

In This Role, You'll Get to:

• Own and evolve the architecture of ACP: the orchestrator, per-host agent, and CLI that manage dedicated-resource virtual machines on bare metal, including compute placement, image management, and network recovery.
• Design, build, and operate Agoda's compute and fleet tooling in Go (and Python where relevant), including systems that interface with Kubernetes, OpenStack, and out-of-band hardware management APIs.
• Lead medium to large projects across Fleet, Compute Platform, and adjacent teams, with ownership from design through delivery and operation.
• Take an active role in System Design Reviews, both within the team and across the wider engineering organization, influencing architecture beyond your own systems.
• Use agentic coding tools (for example Claude Code and similar) as a normal part of design, implementation, testing, and review — the way the team works today — and help others use them well without lowering engineering standards.
• Troubleshoot product and system issues at scale across multiple global data centers.
• Interview and mentor engineers across the team and help raise the hiring bar for compute and fleet roles.
• Define and use clear measures for ACP reliability, operational load, and delivery quality, and use them to decide what to build next.
• Work with Software Development, Infrastructure Management, and adjacent teams to gather requirements and design scalable, resilient services.
• Write the technical documentation and training the team needs to operate and extend ACP.

What You'll Need to Succeed:

• 10+ years of software engineering, with a strong hands-on background in infrastructure or compute systems (bare metal, virtualization, Kubernetes, and/or OpenStack).
• Strong distributed systems development skills in Go; Python is advantageous.
• Proven experience owning and evolving distributed systems such as control planes, orchestrators, or agents in production.
• Experience with virtualization and bare-metal provisioning at scale.
• Practical experience using Kubernetes in production (workloads, APIs, and how clusters actually behave).
• Comfortable using agentic coding tools in day-to-day software development, or able to adopt the team’s workflow quickly. These tools are how we work; they are not a substitute for distributed-systems judgment, code quality, or operational ownership.
• Strong understanding of observability for distributed systems: monitoring, alerting, logging, and visualisation at scale.
• A track record of leading medium to large technical projects and driving architectural decisions inside a team.
• Experience working across team boundaries and learning the internals of adjacent systems, not only your own.
• Clear written and verbal English, including design docs, reviews, and cross-team discussion.

It's Great if You Have:

• Hands-on experience with Kubernetes beyond cluster-user work: controllers, operators, and/or CRDs.
• Experience contributing to or maintaining open-source Kubernetes Operators/Controllers.
• Experience with configuration management and automation tooling, preferably Ansible and/or AWX.
• Experience with out-of-band hardware management APIs (iLO, DRAC) and physical architecture at scale, including building resilient, highly available solutions with no single point of failure.
• Experience with CI/CD and GitOps approaches to infrastructure delivery.
• Experience working across a large, distributed engineering organization with many stakeholders.

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