Senior Software Engineer (Platform)

About LINE MAN Wongnai

LINE MAN Wongnai (LMWN) platform team is a high-octane, high performing team where we're making an impact across multiple teams. Our team is focused on developer productivity by providing the best development platform for the engineering teams with seamless integration with development and operations tasks. Our team works on comprehensive full-stack solutions, overseeing projects from conceptual design to the deployment of functional applications. This includes crafting intuitive user interfaces, robust APIs, core system functionalities, and implementing scalable data storage solutions across a distributed network. Undoubtedly, our products are being used across functional teams.

Summary

Forget the average coding job. As a Platform Engineer, you're the force-multiplier for all of LMWN. Your mission: make our developers lives awesome. You'll build the smooth highways that let them stop worrying about potholes and just drive. To achieve this, we need a self-driven problem-solver with a deep toolbox covering frontend, backend, ops, CI/CD, and cloud wizardry.

We are building a team of exceptional engineers to solve complex, high-impact challenges at massive LMWN scale, where performance, reliability, and precision are non-negotiable. Our impact is proven: we recently optimized our observability platform, now handling over 900,000 events per second while achieving a 60% cost reduction. This engineering excellence extends to our foundational Platform Portal, which serves as the core mechanism for improving efficiency and unifying the developer experience across all services.

The Platform Portal is a powerful self-service engine that: automates infrastructure; features built-in scorecard systems to drive quality; and enables instantaneous live application profiling on production to massively boost engineering efficiency. Furthermore, you will design critical, high-performance systems like the Storage Object UI, implementing complex ABAC/RBAC bucket-level permissions on our custom backend. This ties directly into our zero-data-loss Audit platform (the backbone of trust and compliance). You will also engineer specialized internal Go libraries (database drivers, web servers) for safety and concurrency.

The work you do here won't just scale systems; it will fundamentally shape how the entire company builds, operates, and innovates.

What you'll Do:

• Join a team of expert engineers to tackle true full-stack challenges, significantly elevating company development efficiency. Drive projects that span backend and infrastructure enhancements, frontend web development, and CI/CD automation.
• Analyze current software systems and leverage multiple technologies to solve technical, architectural, and/or organizational problems, focusing on velocity, quality, security, and cost.
• Diagnose and resolve advanced system-level performance bottlenecks, including identifying and addressing kernel-level factors that impact CPU and overall system efficiency.
• Lead the entire lifecycle of platform projects designed to improve developer efficiency and core infrastructure, from conceptual design and architecture through to deployment and post-launch support.
• Operate with a high degree of autonomy and initiative in a fast-paced, agile environment to drive projects forward and deliver results.
• Design and implement robust, scalable distributed systems that are foundational to multiple products and services across the organization.

What you'll Need:

• Total 5+ years of professional experience in one of these roles: Software Engineer, Platform Engineer, DevOps, or SRE.
• Mastery of software engineering fundamentals: data structures, algorithms, design patterns, testing strategies, and modern code review practices.
• Demonstrated ability to deep-dive into core system fundamentals and software implementation to extract maximum performance given available resources.
• Genuine intellectual curiosity about how systems work at every level, instinctively asking why and how from service architecture and application code down to the operating system and hardware-level bit manipulation.
• Deep understanding of distributed systems fundamentals: consensus algorithms, the CAP theorem, eventual consistency, and service mesh architectures.
• Keen eye for inefficient processes and a genuine desire to fix them, improving the quality of life for other engineers.
• Proficiency and hands-on expertise with at least one major cloud provider (AWS, GCP, and/or Azure).
• Expert-level knowledge of Docker and Kubernetes in production environments.
• Extensive knowledge of CI/CD pipelines and automation tools.