Staff Software Engineer, AI, Python, AWS

Jobtailor

City of Melbourne

On-site

AUD 150,000 - 210,000

Full time

3 days ago

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Job summary

Jobtailor is seeking a software engineer to design, build, deploy and operate cloud-native services on AWS, delivering AI-enabled experiences and scalable architectures in Melbourne.

You will work with Python back-end, Node.js, React, and collaborate with Product Owners and Data Scientists to ship measurable improvements for employee experiences.

The role emphasizes DevSecOps, CI/CD, security, and reliability, with opportunities to contribute to AI tooling and governance.

Qualifications

Strong software engineering capability and experience designing, building, testing and maintaining software solutions in collaborative delivery teams.
Hands-on capability in Python and AWS
Experience in or exposure to Node.js and React
Practical exposure to AI engineering, including prompts, guardrails, evaluation, grounding, and building reliable AI solutions that minimise hallucinations and bias
Strong capability in DevSecOps, CI/CD, automation and engineering quality
Mindset focused on security, resilience and operational excellence
Nice to have: mobile engineering experience
Nice to have: exposure to HR technology or regulated enterprise environments
Nice to have: evidence of AI experimentation through side projects, labs or recent hands-on initiatives

Responsibilities

Design, build, deploy and operate cloud-native services and AI-enabled experiences using AWS and modern engineering patterns.
Develop production-ready software across Python back-end services, Node.js layers and React-based user interfaces.
Contribute to architecture and design decisions, reusable platform components, integration patterns and API-led services across the HR Technology ecosystem.
Apply DevSecOps, CI/CD, observability and automation practices to improve security, operability and delivery quality.
Build or collaborate on AI agents and AI-powered features within the first three to six months.
Improve robustness, scalability and governance in the existing codebase.
Partner with Product Owners, Data Scientists and Principal Engineers to deliver measurable outcomes for employee experiences.
Strengthen engineering foundations to improve scalability, resilience, security and engineering excellence.

Skills

Software engineering excellence

DevSecOps mindset

AI engineering experience

Problem-solving

Tools

AWS

Python

Node.js

React

CI/CD tooling

Observability

Job description

Design, build, deploy and operate cloud-native services and AI-enabled experiences using AWS and modern engineering patterns
Develop production-ready software across Python back-end services, Node.js layers and React-based user interfaces
Contribute to architecture and design decisions, reusable platform components, integration patterns and API-led services across the HR Technology ecosystem
Apply DevSecOps, CI/CD, observability and automation practices to improve security, operability and delivery quality
Build or collaborate on AI agents and AI-powered features within the first three to six months
Improve robustness, scalability and governance in the existing codebase
Partner with Product Owners, Data Scientists, Principal Engineers and adjacent crews to deliver measurable outcomes for employee experiences
Strengthen engineering foundations to improve scalability, resilience, security and engineering excellence

Requirements

Strong software engineering capability and experience designing, building, testing and maintaining software solutions in collaborative delivery teams
Hands-on capability in Python and AWS
Experience in or exposure to Node.js and React
Practical exposure to AI engineering, including prompts, guardrails, evaluation, grounding, and building reliable AI solutions that minimise hallucinations and bias
Strong capability in DevSecOps, CI/CD, automation and engineering quality
Mindset focused on security, resilience and operational excellence
Nice to have: mobile engineering experience
Nice to have: exposure to HR technology or regulated enterprise environments
Nice to have: evidence of AI experimentation through side projects, labs or recent hands-on initiatives

Core Competencies

Demonstrates expertise in designing and deploying cloud-native services using AWS, with strong capabilities in Python, Node.js, and React. Focuses on improving software quality through DevSecOps practices and AI engineering to enhance employee experiences.

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