AVP/VP - Technical Product Owner

SGX Group; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

SGX Group is seeking product-minded engineers to drive initiatives from ambiguous problems to robust production systems. You will partner with stakeholders to shape what gets built, prototype rapidly to validate direction, and harden results for reliable operation.

This generalist role emphasizes building and orchestrating AI agents across the SDLC. Operating in a regulated capital-markets environment, expect a strong emphasis on quality, security, and operational rigour as you help deliver

Qualifications

• 5+ years of professional software engineering experience, with production ownership.
• AI-native ways of working: orchestrating coding agents and agentic workflows.
• Fluency in at least two modern languages and willingness to learn new ones.

Responsibilities

• Own initiatives end-to-end: clarify requirements with stakeholders and see through release and operation.
• Move from idea to working prototype quickly and evolve it into production systems.
• Apply AI agentically across the full SDLC and contribute back to internal tooling.
• Define release readiness: test strategy, rollout plans, observability, and maintain security and docs.
• Design and integrate distributed systems with messaging, orchestration, and high-performance protocols.

Skills

AI agent orchestration

Distributed systems

APIs & messaging

CI/CD mindset

Java

Kotlin

TypeScript

Python

Rust

Tools

Kafka

Kubernetes

Aeron

gRPC

Protobuf

Job description

SGX is hiring product-minded engineers to take initiatives from ambiguous problem to running production system. You'll partner with stakeholders to shape what gets built, prototype rapidly to validate direction, and harden the result into systems we operate with confidence. This is a generalist role for engineers who like build and can orchestrate AI agents across the SDLC.

We operate in a regulated capital-markets environment, so the bar for quality, security, and operational rigour is high.

Job Description

Job Summary

SGX is hiring product-minded engineers to take initiatives from ambiguous problem to running production system. You'll partner with stakeholders to shape what gets built, prototype rapidly to validate direction, and harden the result into systems we operate with confidence. This is a generalist role for engineers who like build and can orchestrate AI agents across the SDLC.

We operate in a regulated capital-markets environment, so the bar for quality, security, and operational rigour is high.

Job Responsibilities

What You'll Do

• Own initiatives end-to-end: clarify and extend requirements with stakeholders, propose what to build, and see it through release and operation
• Move from idea to working prototype in days, then evolve prototypes into production systems that handle edge cases, scale, and adversarial conditions
• Apply AI agentically across the full SDLC, and contribute back to our internal agentic ecosystem: the workflows and tools the rest of the team relies on
• Define release readiness: test strategy, rollout plans, observability, runbooks, and treat security, maintainability, and documentation as first-class concerns
• Design and integrate distributed systems where they matter: messaging (e.g. Kafka), orchestration (e.g. Kubernetes), performance-sensitive protocols (e.g. Aeron, gRPC, Protobuf), etc

Job Requirements

• 5+ years of professional software engineering, with a clear track record of taking work from idea to production and owning it there
• AI-native ways of working: real experience orchestrating coding agents and composing agentic workflows across specification, build, test, deploy, and operation
• Fluency in at least two modern languages (e.g. Java, Kotlin, TypeScript, Python, Rust) and willingness to learn whatever a problem demands
• Solid foundations in distributed systems, APIs, and messaging, with judgement about when sophistication is warranted
• Production mindset across testing, observability, security, and CI/CD
• Product instinct: comfortable shaping scope rather than waiting for a complete spec
• Comfort in complex, regulated environments

Nice to Have

• Familiarity with the FIX protocol or capital-markets domain
• Experience building internal developer tools, agent frameworks, or platform tooling
• Front-end experience to support end-to-end prototyping