Kerja Sepenuh Masa, Systems Engineer di Creador Federal Territory - Maukerja

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.