Member of Technical Staff - Data & Infrastructure

About z Star Research z Star Research is a start-up systematic quantitative investment firm. We take a research-driven, scientific approach to markets, and we build the technology behind that approach in-house. We are a small team of researchers and engineers, which means the systems you build will be used daily by the people sitting next to you — and your impact on the firm will be direct and measurable.

About the Role This role spans data engineering and core infrastructure. As a Member of Technical Staff, you will build and maintain the data platform that supports our research and trading, along with the cloud infrastructure the firm runs on. You will work directly with researchers and engineers across the firm. The work requires care with data correctness and a high standard for reliability. Strong candidates own systems end-to-end, communicate clearly, and pay close attention to detail.

What You'll Do

• Design, build, and maintain pipelines that ingest, validate, and curate datasets from external vendors
• Ensure data quality, point-in-time correctness, and reproducibility across the data platform
• Build tooling and operational processes to surface, track, and resolve data issues
• Design, build, and manage the firm's cloud infrastructure, including compute, storage, networking, and security foundations
• Automate infrastructure provisioning and deployment, and improve reliability, observability, and developer experience across the firm

What We're Looking For

• 3–7 years of experience as a data engineer, infrastructure engineer, platform engineer, or software engineer building production systems
• Strong Python engineering skills, with a track record of writing clean, scalable, production-quality code
• Experience building production-grade data pipelines for external or vendor datasets
• Solid understanding of data quality, validation, and operational monitoring
• Experience with cloud infrastructure and infrastructure as code
• Strong communication skills, analytical ability, and attention to detail

Nice to Have

• Experience in systematic trading, quantitative research, or financial services
• Demonstrated experience handling point-in-time data, historical revisions, or restatements
• Familiarity with distributed data processing and modern orchestration tooling
• Familiarity with financial market data — instruments, symbology, and corporate actions

How We Work We six days a week, interfacing with colleagues across Hong Kong and New York. We are an early-stage firm: the pace is fast, standards are high, and everyone is close to the work. This environment suits people who want significant ownership and responsibility early, and who take energy from building alongside a small team that cares about getting things right. z Star Research is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, or any other legally protected characteristic.