Senior Software Engineer

Time Seventeen; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Time Seventeen is building infrastructure for geopolitical and catastrophe risk, based in Hong Kong. We seek a senior engineer to own critical systems at the crossroads of market data, execution, and product.

You will shape architecture while remaining close to implementation, ensuring reliable operation and clear ownership across research, engineering, markets, and risk. You will design time-sensitive services, improve observability and testing, and mentor engineers.

Qualifications

• Substantial experience building and operating production software systems.
• Strong knowledge of distributed systems, APIs, databases, and cloud infrastructure.
• Proven track record owning ambiguous, technically demanding projects end to end.

Responsibilities

• Design and deliver scalable services for time-sensitive financial workflows.
• Set a high bar for system reliability, observability, testing, and code quality.
• Make pragmatic architectural decisions and carry them through implementation.
• Mentor engineers and collaborate with product and market teams.
• Document important decisions, assumptions, and limitations for future review.

Skills

Distributed systems

APIs & databases

Cloud infrastructure

End-to-end ownership

Tools

Production software

Market data systems

Job description

About Time Seventeen

We give risk a price. We create state prices for tail events.

We give risk a price. We create state prices for tail events. The world contains a large class of risks that determine where capital flows yet have no price today. Global supply chains are being reconfigured, while the geopolitical discount rates that inform consequential decisions remain difficult to quantify. Time Seventeen is building tradable synthetic indices and term structures for these risks. Time Seventeen is infrastructure for geopolitical risk and catastrophe risk. We give risk a price. We create state prices for tail events. Our ambition is to turn fragmented judgments about individual events into continuous risk prices, then bring those prices into institutional valuation, trading, and risk-transfer workflows. Our work connects event definitions, probabilistic forecasting, market data, index methodology, and execution infrastructure. We explore how prediction markets, actuarial models, insurance and reinsurance structures, and blockchain-based DeFi can contribute to a common language for uncertain outcomes. The challenge is to make risk legible across different horizons, exposures, and market participants, while keeping assumptions and limitations explicit. Building this infrastructure requires more than a compelling forecast. Data must be traceable, events must have defensible resolution rules, methodologies must survive scrutiny, and products must account for liquidity, basis risk, operational resilience, and applicable legal constraints. We want institutions to be able to understand a risk price, challenge its construction, and assess how it relates to the exposure they actually hold. We are building a focused team across research, engineering, markets, and risk. We value people who can move between deep specialist work and the practical decisions needed to build a company: identifying the important question, testing an approach, communicating the evidence, and carrying the result into a usable system.

About The Role

Own critical systems at the intersection of market data, execution, and product, from architecture through reliable operation.

You will own systems that make risk information usable in demanding institutional workflows. That means reasoning about event-driven services, state consistency, failure recovery, and the boundary between exploratory research and production. You will shape architecture while staying close to implementation and operational evidence.

You will work closely with colleagues across research, engineering, markets, and risk. We expect you to clarify assumptions early, share intermediate evidence, and make decisions that account for the users and systems downstream of your work. The scope can evolve as we learn, but each initiative should have a clear owner and a concrete result.

What you'll do

• Design and deliver scalable services for time-sensitive financial workflows.
• Set a high bar for system reliability, observability, testing, and code quality.
• Make pragmatic architectural decisions and carry them through implementation.
• Mentor engineers and collaborate directly with product and market teams.
• Design service contracts and recovery paths for index, pricing, and execution workflows, including explicit handling of stale inputs and partial failures.
• Document important decisions, assumptions, and limitations so that colleagues can review the work and extend it without relying on undocumented context.

What we're looking for

• Substantial experience building and operating production software systems.
• Strong knowledge of distributed systems, APIs, databases, and cloud infrastructure.
• A record of owning ambiguous, technically demanding projects end to end.
• Experience in trading, market data, or digital assets is helpful but not required.
• An ability to explain complex work clearly, distinguish evidence from assumptions, and update your view when new information warrants it.
• Interest in building infrastructure for geopolitical and catastrophe risk, with a willingness to learn the financial and technical context beyond your own specialty.

What success looks like

• Deliver a well-defined piece of work that advances a real research, product, or institutional workflow, with acceptance criteria agreed with the team.
• Make the quality of your work inspectable through appropriate analysis, tests, documentation, or operational evidence.
• Create reusable methods and clear handoffs that help the wider team work more effectively.

Location & working arrangement

This role is based in Hong Kong. Please include your location, availability, and any working-arrangement requirements in your application.

How we work

Time Seventeen is a focused, high-ownership team. We value clear thinking, direct communication, careful execution, and people who carry important work through to a result. We expect colleagues to surface inconvenient evidence, ask precise questions, and make the limits of their work explicit. Strong specialist judgment matters, as does the willingness to understand how your work affects research, markets, engineering, and risk. We prefer useful documentation and clear decisions to unnecessary process.