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Senior Full Stack Engineer

Cluey Learning -
Sydney NSW

Apply Now

Job Details

Benefits

Birthday leave

Qualifications

Data modelling
Law
Full-stack development
Learning technology
Salesforce
Master's degree
AWS
Back-end development
Data pipeline
APIs
S3
AI
Communication skills
Data warehouse

Full Job Description

Cluey is dedicated to fostering self-confidence in school-age students through innovative out-of-school learning experiences. Our multichannel approach provides highly effective, proven, and accessible alternatives to traditional classroom education, ensuring convenience for all learners. With a focus on personalised learning, we empower students to explore and discover, leading to optimised learning outcomes tailored to individual needs.

Our diverse range of high-quality learning experiences is offered in a variety of settings, both online and in person, pioneering the landscape of ‘out-of-school’ learning and igniting students’ passion for knowledge and innovation.

Role Context:

The Senior Full Stack Engineer sits at the intersection of data, backend engineering, and applied AI, supporting both our core tutoring platform and our recently launched AI product, called Cluey+ plus.clueylearning.com.au

You'll play a key role in owning and evolving our data pipelines, while also building scalable backend systems and AI-powered features that will shape the future of our platform.

This is primarily an individual contributor role, with the opportunity to influence technical direction and mentor others as the product scales.

Key Responsibilities:

Data Engineering

Own and evolve data pipelines from core systems (including Salesforce) into our data warehouse (Snowflake)
Support and improve reporting workflows and data visualisation tooling
Collaborate with business stakeholders to refine and improve data models
Ensure reliability, scalability, and quality of data systems

Backend Engineering

Design and build scalable backend services (primarily Node.js / TypeScript)
Contribute to system architecture and technical decisions
Work across a modern AWS-based infrastructure (serverless + EC2-based systems)

AI Engineering

Build and integrate LLM-powered features using models such as Gemini and Anthropic
Design and implement RAG (Retrieval-Augmented Generation) systems
Contribute to the development of our AI tutoring product and broader AI initiatives
Leverage modern AI tools to improve development speed and capability

Frontend

Contribute to React-based frontend when required (not a primary focus)

Tech Environment

Backend: Node.js, TypeScript (polyglot mindset encouraged)
Cloud: AWS (Lambda, S3, Step Functions, EC2 and beyond)
Data: Snowflake, Salesforce integrations, BI/reporting tooling
AI: LLM integrations (Gemini, Anthropic), RAG architectures
Approach: Modern stack, fast-moving team, pragmatic engineering

Skills & Experience

Strong experience as a Senior Backend or Full Stack Engineer
Excellent communication and stakeholder management skills
Deep, hands-on experience with AWS across both serverless and traditional infrastructure
Experience working with data pipelines and data warehouses (Snowflake strongly preferred)
Proven experience building LLM-powered applications, including RAG systems
Strong backend engineering fundamentals (APIs, system design, scalability)
Ability to work across the stack and pick up new technologies quickly
Experience integrating with Salesforce
Familiarity with BI or data visualisation tools (e.g. AWS QuickSight)
Exposure to edtech or similar domains
Experience working in fast-moving, product-focused teams

What’s in it for you?

Hybrid flexibility, min 2 days in our Sydney CBD office
Supportive, social culture, team events, fun incentives, and a truly collaborative vibe
Inclusive & relaxed environment, bring your whole self to work
Extra perks such as birthday leave, tutoring and camp discounts & wellness and more

Apply Now

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