Systems Engineer

Creador; Kuala Lumpur; Vor Ort; MYR 180.000 - 240.000; Vollzeit

Zusammenfassung

Creador in Kuala Lumpur is seeking an experienced software engineer to investigate bugs across APIs, databases, queues, and identity services. You will rapidly prototype new tools, test feasibility, and assess integration effort, reliability, and cost before recommending adoption.

You will deliver features end-to-end, emphasize robust logging, health checks, and secure handling of secrets. The role requires strong debugging skills, Linux basics, and the ability to work across Terraform, AWS,

Qualifikationen

• Strong foundations in one programming language, backend APIs, SQL, Git, automated testing, and CI/CD.
• Experience with TypeScript, JavaScript, or Go is useful.
• Familiarity with Linux/Unix CLI and HTTP, DNS, TLS, and service connectivity troubleshooting.

Aufgaben

• Investigate bugs across APIs, databases, queues, workflows, identity services, and external integrations.
• Rapidly prototype newly released tools and technologies; build quick POCs and assess integration effort, reliability, and cost.
• Proactively identify issues, product friction, and system improvements with evidence and recommendations.
• Deliver features from requirements and design through implementation, testing, rollout, and production verification.
• Build for retries, idempotency, timeouts, cancellation, and partial failures with logs and health checks.
• Protect tenant boundaries, enforce authorization, and handle secrets safely.
• Contribute to infrastructure and CI/CD improvements and support incident recovery.

Kenntnisse

Backend APIs

SQL

Git

CI/CD

TypeScript

JavaScript

Go

Tools

AWS

Terraform

GitHub Actions

Docker

ECS/Fargate

ECR

PostgreSQL

Jobbeschreibung

Key Responsibilities

• Investigate bugs across APIs, databases, queues, workflows, identity services, and external integrations.
• Rapidly prototype newly released tools and technologies. Build quick proofs of concept (POCs), test feasibility against real use cases, and assess integration effort, reliability, security, and cost before recommending adoption or rejection.
• Proactively identify issues, product friction, and system improvements. Raise concerns with evidence and recommendations. For clear, low-risk improvements, develop a proposed solution or prototype before raising the issue. Escalate urgent risks immediately and follow review and approval processes before rollout.
• Deliver features from requirements and design through implementation, testing, reviewed rollout, and production verification.
• Build for retries, idempotency, timeouts, cancellation, and partial failures; add useful logs, health checks, tests, and documentation.
• Protect tenant boundaries, enforce authorization, and handle secrets and untrusted input safely.
• Contribute to infrastructure and CI/CD improvements. Support incident investigation and recovery under guidance, following production approval processes.

Our Environment

TypeScript/Node.js, some Go, AWS, Terraform, GitHub Actions, Docker, ECS/Fargate and ECR, PostgreSQL/Aurora, S3, queues, durable workflows, and isolated runtimes. Experience with these, AI agents, model integrations, or OAuth/OIDC is useful, but prior expertise in our exact stack is not required.

Candidate Profile

• Strong foundations in one programming language, backend APIs, SQL, Git, automated testing, and CI/CD. TypeScript, JavaScript, or Go experience is useful.
• An eye for good product UI and UX: recognise confusing flows, improve usability and visual consistency, and consider accessibility and loading, empty, and error states.
• Basic Linux/Unix command-line skills and an understanding of HTTP, DNS, TLS, and service connectivity troubleshooting.
• A systematic debugging approach: reproduce, gather evidence, test a hypothesis, and verify the fix.
• Curiosity and a willingness to learn unfamiliar tools quickly, run focused experiments, and explain feasibility findings and trade-offs clearly.
• Clear communication and the ability to manage concurrent tasks, preserve context, and surface blockers early.
• A habit of staying current with technology announcements and improvements, recognising developments relevant to our work, and assessing their practical value rather than adopting tools for novelty.

AI-assisted Engineering

• Use Claude Code, Codex, or comparable tools confidently across exploration, implementation, testing, debugging, and review.
• Write clear prompts and task briefs, maintain reusable agent skills, and delegate well-scoped work to subagents where useful.
• Review generated work critically and remain accountable for quality. Never expose secrets or customer data to unapproved tools or bypass access controls.