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Singapore · Reports to Group COO
About us
CellResearch Corporation was founded in Singapore in 2002. In 2004 our scientists isolated epithelial and
mesenchymal stem cells from the umbilical cord lining membrane — a discovery now protected by patents
across key territories worldwide, covering isolation, banking, cultivation and therapeutic application.
Today that platform runs in two directions: a consumer cosmeceuticals business selling globally, and a
therapeutics arm developing treatments for conditions including diabetic foot ulcers. We hold SME designation from the European Medicines Agency and an Innovation Passport from UK regulators.
Both sides are growing, and the systems underneath them need to grow with them.
The role
We run on NetSuite, Shopify, and a range of SaaS and on-premises systems, integrated today with external
partners. As we scale, we want that capability in-house — closer to the business, and able to move at the pace the business moves.
We're hiring an experienced engineer to build it by directing AI coding agents rather than writing everything by hand. This is not a traditional development role, and it's not a pilot — it's where we think the discipline is going, and we're staffing it accordingly.
You'll be the first hire into this function and will shape how it works. We intend to build a team around it.
How you'll work
You'll design systems and direct agents to implement them: specifying, reviewing, correcting, deciding — several threads at once, catching the wrong turn before it reaches production.
That only works if you already know what good looks like. The agent will confidently produce something plausible and wrong; the value of this role is being the person who spots it.
What you'll own
The integration layer between NetSuite, Shopify, and everything else — orders, inventory, fulfilment, customers, financials. Building new integrations and bringing existing ones in-house.
The engineering fundamentals underneath them: source control, CI/CD, testing, error handling, and observability built in from the start. Deployment should be a pipeline, not an event.
Direct working relationships with the operations and finance people who understand the business processes — define the problem together, agree what good looks like, ship against it.
Enabling non-developers to build safely. Colleagues across the business want to automate more of their own work; your job is to give them the guardrails, patterns and review that let them go further with confidence.
What we're looking for
At least five years building and running production systems. You've been on call for something you wrote, and it changed how you build.
Working fluency with AI coding agents, and a clear view of where they break down.
Strong with APIs and data movement — REST/GraphQL, webhooks, queues, idempotency, reconciliation. You know what happens when a message arrives twice, or out of order, or not at all.
Fluent in Python, TypeScript, or similar — enough to read critically and intervene, which is most of the job.
You own deployment, not just code. CI/CD pipelines, automated testing, repeatable environments — agent-generated code makes this non-negotiable, since volume without automated verification is just faster breakage.
Able to turn a business process described by a non-technical colleague into a system that holds up.
NetSuite or Shopify experience is a plus, not a requirement, if you have a track record of getting deep in an
unfamiliar platform quickly.
What this role is not
Not a vendor manager. Not a ticket queue. You'll own architecture and outcomes, and make calls without
waiting for a committee.
The arrangement
Based in Singapore, reporting directly to the Group COO — close to the business, not buried in an IT function.
Job ID: 152966461
Skills:
Restful Apis, Sql, Python, Nosql, Git, Typescript, React, AI coding tools, CSS-in-JS, Tailwind CSS
Skills:
data engineering , data streaming , production readiness , AWS, Aws Cloud, Amazon Web Services, Cloud Infrastructure, Cloud Architecture, AWS Infrastructure, ECS, Iam, AWS IAM, Aws Lambda, Amazon Vpc, Cloud Security, Terraform, AWS CloudFormation, Devops, DevSecOps, Jenkins, Pdlc, Cloud Automation, Smoke Testing, Unit Testing, Regression Testing, Enterprise Architecture, Kubernetes, MLops, Kafka, Amazon Kinesis, Software Agents, Cloud Engineering, Platform Engineering, Senior Platform Engineer, EKS, VPC Networking, Infrastructure as Code, IaC, Cloud-Native Architecture, platform architecture, CI/CD, CI/CD Pipelines, GitOps, GitHub Actions, GitLab CI, Developer Experience, DevEx, Product Development Life Cycle, Environment Provisioning, Infrastructure Automation, Structural Testing, Systems Validation, Platform Validation, Enterprise Cloud, Secure Cloud Infrastructure, Resilient Infrastructure, Scalable Infrastructure, Container Orchestration, Machine Learning Operations, Data Pipelines, Llm, Large Language Models, Generative AI, Agentic AI, AI Platform, AI Infrastructure, AI Agents, Enterprise AI, Platform Deployment, Cloud Governance, Security Guardrails, CI/CD Automation, AWS Solutions Architecture
Skills:
Gpu, Python, Cuda, Helm, Kubernetes, NIST AI RMF, agentic AI, LLM agents, modern interoperability, Nuclio, GAIA, multi-step control flow, EU AI Act, Verified WebArena, ISO 42001, data-intensive pipelines, Parquet, OSWorld, AI governance frameworks, SWE-bench, Iceberg, DuckDB, ?²-bench, evaluation testing, tool-calling
Skills:
Python, AIOps, Agentic AI, langgraph
Skills:
Java, React, Typescript, Python, orchestration tools, LLMs, RAG, vector databases, agent frameworks