Summary
✨ AI‑Generated
Join a product-minded engineering team where you will take initiatives from ambiguous requirements to production systems. You will work with stakeholders to shape solutions, prototype rapidly, harden systems for scale and adversarial conditions, and use AI agents throughout the software development lifecycle while maintaining strong standards for security and operational reliability.
Highlights
Own initiatives from ambiguous ideas through production, collaborate directly with stakeholders, prototype rapidly, and apply AI agents across the software development lifecycle. The role emphasizes high engineering standards, security, scalability, and operational rigor.
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 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 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 onDefine release readiness: test strategy, rollout plans, observability, runbooks, and treat security, maintainability, and documentation as first-class concernsDesign 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 thereAI-native ways of working: real experience orchestrating coding agents and composing agentic workflows across specification, build, test, deploy, and operationFluency in at least two modern languages (e.g.
Java, Kotlin, TypeScript, Python, Rust) and willingness to learn whatever a problem demandsSolid foundations in distributed systems, APIs, and messaging, with judgement about when sophistication is warrantedProduction mindset across testing, observability, security, and CI/CDProduct instinct: comfortable shaping scope rather than waiting for a complete specComfort in complex, regulated environmentsNice to Have
Familiarity with the FIX protocol or capital-markets domainExperience building internal developer tools, agent frameworks, or platform toolingFront-end experience to support end-to-end prototyping
