Engineering Manager: API-First Data Platform Leader
Engineering Manager at MerchantSpring in Kuala Lumpur leads 11 engineers across ETL, API and AI/MCP squads, owning the technical vision and architecture of an API-first marketplace data platform. Hands-on role built on Node, TypeScript, AWS, Postgres/TimescaleDB and MongoDB.
- Compensation
- Not disclosed
- Location
- Kuala Lumpur, Malaysia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Deep, current expertise in Node, TypeScript and AWS
- Data and platform engineering credibility: relational and document databases (Postgres, MongoDB), time-series data at scale, API platform design
- Has led a team of roughly 8 to 15 engineers while staying close to the architecture and coding when it matters
- Track record of optimising and reducing database and infrastructure costs at scale; thinks in unit economics
- People-first leader who champions and develops engineers and serves as a role model for juniors
- End-to-end owner with decisive accountability when things go wrong
- Proactive culture builder who invests in team cohesion
- Pragmatic and data-driven; welcomes rigorous debate and explains technical trade-offs
- Grounded in customer problems so technical priorities stay tied to user needs
- Resilient in ambiguity; manages competing priorities
- Has scaled a multi-tenant, high-volume data and API platform through rapid growth in any industry
- Able to travel to Australia occasionally with a valid visa
Nice to have
- Exposure to marketplaces, e-commerce, or the Amazon SP-API ecosystem
Full description
Global marketplaces — Amazon, Walmart, eBay, Shopify and over a hundred others — are the engines of modern commerce. But the data sits locked inside each channel, fragmented and rarely adding up to a clear picture.
MerchantSpring is the API-first data infrastructure for the businesses that operate, advise on, and build for digital commerce. We consolidate cross-channel marketplace data into a single source of truth that our customers reach through a visualisation platform, an API gateway, MCP tools and embeddable widgets.
We are profitable, self-funded, and seven years in — scaling on our own revenue rather than someone else's runway. We are headquartered in Australia with a growing presence in Kuala Lumpur, and we operate as a single team across sites.
Today the platform spans 120+ e-commerce channels, manages roughly 12TB of data across 35,000 seller accounts in 29 countries, serving agencies, enterprise brands, and ecosystem and technology partners.
**The role
We are looking for a Engineering Manager to take full ownership of our engineering function and lead the next chapter: our evolution into a true API-first data platform. You will inherit a team of 11 engineers across our ETL, API and AI/MCP squads**, report to our CEO, and own the technical vision, the architecture, and the culture that carries us from startup to scale-up.
This is a builder's leadership role. We want someone who leads from within the architecture — setting direction, making the hard technical calls, and rolling up their sleeves to code when it helps the team move or unblocks a problem. As the team grows, the role is expected to evolve further toward organisational leadership, and we say so openly because we want someone who wants that trajectory.
**What You'll Own
- Technical vision and architecture. Translate business goals into a technical roadmap, set direction across the squads, and own the architectural bets — with our API-first data layer as the centrepiece
- Platform scale. Take our API and data platform from where they are today to scale: more channels, more volume, and more external builders relying on our endpoints, MCP tools and widgets
- Infrastructure economics. Own the unit economics of the platform. A large and growing share of our cost base sits in database and infrastructure spend, and you will be accountable for managing and driving it down as we scale with a focus on database cost:
- TimescaleDB compression, retention and continuous aggregates
- Postgres query and index optimisation and right-sizing
- MongoDB indexing and sharding
- Data integrity and reliability. 35,000 accounts depend on financially accurate data. Own incident practices and resilience that keep serious problems rare — and provide visible, decisive leadership on the rare occasions they aren't