Software Engineer (Socom)

Who we are

Intrepid Asia is a leading e-commerce and Digital Solutions Provider in Southeast Asia. We offer end-to-end omni-channel ecommerce management, Livestreaming, Video production & Affiliate Management for Social Commerce, plus full funnel Digital Marketing Services and advanced Market Intelligence, all powered by state of the art in-house technology to our client base of leading international brands across all key marketplaces and social platforms in all 6 SEA countries. Brands love our regional presence, our excellent data-driven and growth-focused services, which are enabled by the strongest team in the industry, and our advanced marketing and tech capabilities.

We are growing rapidly and as the exclusive partner of Flywheel in SEA, we offer many exciting opportunities to work with leading brands across multiple categories and key industry players. By joining us, you will work on the cutting edge of digital and social commerce in SEA, and experience what it takes to drive a successful e-commerce business end-to-end.

The team you will be part of

Our Tech Team is the engine behind our digital capabilities — designing and building the platforms, tools, and systems that power our services across the eCommerce ecosystem. From automation to optimization to data integration, the team turns complex challenges into seamless solutions, enabling scale, speed, and smarter decision-making. With innovation at its core, Tech drives the digital backbone of our business and empowers every function to perform at its best.

The team operates across multiple product domains — MarTech, Data-as-a-Service, and Social Commerce — each with its own suite of internal tools and external-facing applications. All products are built on a common shared infrastructure and benefit from a collaborative engineering culture where knowledge-sharing, code standards, and continuous learning are central to how we work.

The part you will play

As a Software Engineer, you will build the AI-powered tools that help brands and marketers operate their social commerce businesses more effectively — from understanding performance data to creating content at scale.

You will work on two major product areas:

Social Commerce Intelligence Platform

A performance management app for brands to track affiliate programs, creator partnerships, and livestream commerce operations. Features include creator GMV and commission dashboards, live traffic and conversion analytics, content ROI tracking, and self-serve reporting — all integrated with embedded Apache Superset dashboards and a custom dashboard builder on top of Cube.

AI Video Automation Platform

An end-to-end AI creative production platform — built for social commerce video (TikTok, Reels, Shopee Live, affiliate). Takes a product brief and images as input; generates scripts, storyboards, model/background images, per-scene video clips, voiceover, and subtitles — with a Review Mode (step-by-step human approval) and a Turbo Mode (fully automated one-click pipeline). All AI model choices and prompt templates are user-configurable without developer involvement.

Depending on your strengths, you will work on the Backend (Golang/Python microservices, RabbitMQ workers, AI integrations, JWT middleware) or the Frontend (Vue.js 3, Superset embed, self-serve dashboard builder, video/image review UIs, real-time pipeline status).

As a Software Engineer, you will take charge of

Backend Track — Golang  

• Build Golang microservices and RabbitMQ consumer workers for AI-driven product features: content pipelines, media generation queues, data processing jobs, and analytics data retrieval.
• Implement JWT middleware: validate AWS Cognito tokens, call ShareFoundation APIs to fetch user ACL and subscription entitlements, and inject tenant context into the request lifecycle.
• Build REST and gRPC APIs consumed by Vue.js frontends; WebSocket endpoints for real-time AI job progress, stage status, and approval prompts.
• Implement RabbitMQ workers for async AI generation (LLM, image gen, video gen, TTS) — with retry, exponential backoff, dead-letter handling, and progress event publishing.
• Integrate AI model adapters: OpenAI/Gemini/Claude (LLM), Runway/Kling/Veo/Flux (image/video), ElevenLabs/Whisper (TTS/ASR) through pluggable interfaces.
• Query Cube API from backend services to serve pre-aggregated analytics metrics and dimension breakdowns to frontend apps.
• Design MySQL schemas and migrations; Redis caching patterns; S3 asset storage integration.
• Write unit and integration tests (TDD mindset); participate in code reviews and system design sessions.
• Actively use AI-assisted development tools (Windsurf, Cursor, Claude Code) to improve coding speed, test coverage, and code quality.

Frontend Track — Vue.js  

• Build Vue.js 3 + Vite + TypeScript web apps: affiliate/creator performance dashboards, AI pipeline wizards, asset libraries, config/prompt editors, and AI output review and approval interfaces.
• Implement ShareFoundation SSO: AWS Cognito OAuth2 login flow (redirect, token storage, silent refresh, logout), permission-based route guards and feature gating based on ACL from ShareFoundation API.
• Integrate Apache Superset embed: load dashboards via secure guest token from backend, handle token refresh, scope per tenant, use Superset JS SDK for filter and cross-filter interaction.
• Build self-serve custom dashboard builder: drag-and-drop widget canvas, metric and dimension selector from Cube API, configurable chart types (line, bar, table, KPI card), saved views, and sharing.
• Build AI pipeline UIs: scene-by-scene storyboard view, model/background image grid (select/swap/approve), clip playback and side-by-side comparison, subtitle editor, voiceover preview.
• Implement real-time UIs via WebSocket/SSE: job progress bars, stage status, HiL approval modals, per-stage error recovery — without full-page reload.
• Build Config & Prompt Editor: allow non-technical users to manage AI model parameters and prompt templates — zero developer changes needed.
• Actively use AI-assisted development tools to speed up component building, testing, and debugging.