Software Engineer

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

Job summary

SGX Group is seeking product-minded engineers to take initiatives from ambiguous problem to running production systems. You'll partner with stakeholders to shape what gets built, prototype rapidly to validate direction, and harden the result into reliable services we operate with confidence.

This generalist role rewards builders who can orchestrate AI agents across the SDLC, design distributed systems, and maintain high quality in a regulated capital-markets environment.

Qualifications

• 5+ years of professional software engineering with production experience.
• AI-native workflows: orchestration of coding agents across SDLC.
• Proficiency in two or more languages (e.g. Java, Kotlin, TypeScript, Python, Rust).
• Strong foundations in distributed systems, APIs, messaging.
• Production mindset: testing, observability, security, CI/CD.

Responsibilities

• 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)

Skills

5+ years experience

AI agent orchestration

Distributed systems

Multiple languages (Java, Kotlin, Type

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 rigor is high.

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.

What We're Looking For

• 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