Senior Full Stack Engineer
NinjaTech AI
Senior Full Stack Engineer
NinjaTech AI
Autonomous AI personal assistant for professionals
Sydney · Full-time · On-site/hybrid
Every agent task runs somewhere: a sandboxed container with a filesystem, a browser, tools and a time limit. This role owns that runtime and the platform services around it — the layer everything else in the product depends on.
Own the agent sandbox runtime: provisioning, isolation, scheduling, lifecycle and cost per task at scale.
Build and own platform services — identity plumbing, secrets, metering, object storage, workflow orchestration, and the tool/connector abstraction layer.
Drive the observability stack from instrumentation through ingestion to the dashboard people actually open during an incident.
Harden infrastructure against the failure modes that surface to users as “the agent got stuck”, and keep the platform from becoming a bottleneck to growth.
5+ years building and operating production backend systems and platforms.
Deep AWS (we are CDK-first) and container orchestration understanding below the level of configuration — schedulers, runtimes and isolation boundaries.
Python strength, plus enough front end to build the internal tooling your platform needs rather than waiting for someone else.
A bias for simplicity and pragmatism over architecture for its own sake.
Autonomous AI personal assistant for professionals
NinjaTech AI builds an autonomous AI personal assistant named Ninja that acts as an all-in-one helper for busy professionals. Ninja can perform research, writing, file analysis, coding, image generation, and scheduling by negotiating tasks with tools or people, accessed via chat, voice, or video chat with a customizable avatar; it runs on a SaaS platform and uses its own language models and a proprietary decision engine to complete tasks end-to-end. It differentiates itself by handling real-world tasks autonomously rather than just giving guidance, integrating planning, execution, and communication within one system, and drawing on a leadership team with backgrounds at Google, Meta, and AWS. Its goal is to democratize access to executive assistant capabilities, saving time for a wide range of professionals and allowing them to focus on their core responsibilities.
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