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Our client is a technology-first global hedge fund based in Singapore, building their data platform from scratch. They're looking for a hands-on Software Engineer who wants to own the whole stack.
This is a greenfield build. No legacy baggage, no sprawling bureaucracy. You'll work on genuinely hard distributed systems problems alongside a small, high-calibre team where the quality of your thinking matters more than your title. Modern tooling, AI-augmented workflows, and real engineering autonomy.
What you'll do
Design, build, and operate core data infrastructure end-to-end - from ingestion pipelines to storage and serving layers
Own CI/CD pipelines and deployment workflows (GitLab, Nomad)
Work with modern open table formats (Apache Iceberg) and cloud object storage (S3) at scale
Apply AI tooling where it genuinely accelerates delivery
What they're looking for
Strong Python engineering - you write clean, production-grade code and care about the craft
Comfort across the stack: infrastructure, pipelines, APIs, and everything in between
DevOps experience with GitLab CI/CD, Nomad, S3, or Iceberg is a strong plus
Low ego, high standards - you thrive in a small team where everyone pulls their weight
Please reach out to Nigel MA at [Confidential Information] for more information.
EA License no.: 16S8066
Reg. No. R2091624
Only successful candidates will be notified.
Job ID: 149312971
Skills:
Ml, Jax, Pytorch, Python, RLAIF, SFT, DPO, distributed training, Ai, ppo, preference data curation, reward modeling, large language models, synthetic data generation, RLHF
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