Senior Software Engineer

Tech Aalto Pte ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tech Aalto Pte ltd is seeking client-focused software engineers to turn ambiguous problems into production-grade systems. The role emphasizes AI agent orchestration across the full SDLC and working within a regulated capital-markets setting to ensure high quality, security, and operational rigor.

You will own initiatives end-to-end, prototype rapidly, and shape architectures that scale, with emphasis on distributed systems, messaging (Kafka), and Kubernetes-based orchestration.

Qualifications

• 5+ years of professional software engineering experience.
• Experience orchestrating coding agents and agentic workflows.
• Fluency in at least two modern languages (e.g. Java, Kotlin, TypeScript, Python, Rust).
• Strong foundations in distributed systems, APIs, and messaging.
• Production mindset across testing, observability, security, and CI/CD.
• Comfort in complex, regulated environments.
• Familiarity with 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.

Responsibilities

• Own initiatives end-to-end: clarify requirements and drive release and operation.
• Turn ideas into working prototypes, then evolve into production systems.
• Apply AI agentically across the full SDLC and contribute to internal agent workflows.
• Define release readiness: test strategy, rollout plans, observability, and runbooks.
• Design and integrate distributed systems: messaging, orchestration, and performance-sensitive protocols.

Skills

Software engineering

AI agent orchestration

Distributed systems

CI/CD

Observability

Security mindset

Product instinct

Tools

Kafka

Kubernetes

Aeron

gRPC

Protobuf

Job description

About the job

Job description:

Job Summary

We are hiring for our client product-minded software 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. Our client operates 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 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

• 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