AVP/VP - Software Engineer

United States Digital Space LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Singapore Exchange is seeking product-minded engineers to move ambiguous problems into production systems, partnering with stakeholders to shape what gets built.

You will prototype rapidly, validate directions, and harden results into scalable platforms that operate with confidence in a regulated capital-markets setting.

Qualifications

• 5+ years of professional software engineering experience.
• Experience in AI-native workflows and orchestration of coding agents.
• Fluent in at least two modern languages (Java, Kotlin, TypeScript, Python, Rust).
• Strong foundations in distributed systems, APIs and messaging.
• Production mindset: testing, observability, security, and CI/CD.
• Product instinct: ability to shape scope and define releases.
• Experience working in regulated environments.

Responsibilities

• Own initiatives end-to-end from requirements to release and operation.
• Apply AI agentically across the full SDLC and build internal agent frameworks.
• Design and integrate distributed systems with Kafka, Kubernetes, and gRPC.

Skills

Java

Kotlin

TypeScript

Python

Rust

Tools

Kafka

Kubernetes

Aeron

gRPC

Protobuf

Job description

Company: Singapore Exchange

Location: Singapore, SG

Unit: Technology

Job Type: Permanent (HC)

Requisition ID: 3476

Job Summary

the company 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

• Own initiatives end-to-end: clarify and extend requirements with stakeholders, propose what to build, and see it through release and operationMove from idea to working prototype in days, then evolve prototypes into production systems that handle edge cases, scale, and adversarial conditionsApply 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

Job Segment

• Testing


• Front End


• Java


• Developer


• VP


• Technology


• Management