In-Demand Senior cloud devops engineer Jobs in Parramatta, Nsw

Applied AI Engineer, Non-Financial Risk
Macquarie Group Limited —Sydney NSW
- Full-time
- Remote
- SQL
- APIs
- AI
- Annual leave
- Work from home
Senior Technical Consultant - Education
Civica —Sydney NSW
- Full-time
- Hybrid work
- Azure
- DevOps
- Scripting
- Work from home
Quick Apply
Tech Architecture Sr Manager / Manager / Associate Manager / Specialist/ Sr. Analyst
Accenture —Sydney NSW
- Full-time
- CRM software
- DevOps
- AWS
Developer Experience Engineer (AI-DLC)
CreditorWatch —Sydney NSW
- Full-time
- Hybrid work
- DevOps
- AWS
- AI
- Gym membership
Quick Apply
14d
Desktop Support Engineer
Flying Bark Productions —Alexandria NSW
- Full-time
- Hybrid work
- Scripting
- Work from home
Quick Apply
Identity Engineer
Assertiv Consulting —Sydney NSW
- $110,000 - $130,000 a year
- Full-time
- Azure
- AWS
- Scripting
Senior Fullstack Engineer
PALO IT —Sydney NSW
- Hybrid work
- Azure
- DevOps
- Systems design
- Work from home
Quick Apply
AI Engineer | Data & AI
PWC Australia —Sydney NSW
- $89,100 a year
- Azure
- DevOps
- SQL
- Annual leave
6d
Senior Technical Support Engineer, Observe by Snowflake
Snowflake —Barangaroo NSW
- On call
- Azure
- Computer Science
- SQL
Senior Databricks Developer
AI Talent —Sydney NSW
- $70,000 - $120,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Communication skills
- Work from home
Quick Apply
Staff Engineer
Cartology —Surry Hills NSW
- Full-time
- Hybrid work
- SQL
- Work from home
Solution Architect
Future Secure AI —Sydney NSW
- Azure
- DevOps
- AWS
Quick Apply
Team Lead (Software Engineering)
CoStar Group —Sydney NSW
- Full-time
- Azure
- DevOps
- AWS
1d
Lead Software Engineer - AI Enablement
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Agile
- AI
- SDLC
- Annual leave
- Work from home
Senior Consultant - AI Developer / Data Scientist
Deloitte —Sydney NSW
- Azure
- Computer Science
- SQL
- Parental leave
Senior Java Full Stack Developer - Market Risk Technology | Investment Bank
The Argyle Network —Sydney NSW
- $850 a day
- Full-time
- DevOps
- AWS
- Software development
Delivery Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- DevOps
- Master's degree
- AWS
12d
Professional Services Public Sector Presales Cloud Architect, AWS Professional Services ANZ
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- DevOps
- AWS
- AI
Salesforce Consultant | FSC Migration
INGRITY —Sydney NSW
- Contract
- Hybrid work
- Sales
- Salesforce
- Engineering
Quick Apply
Salesforce Commerce Cloud Lead
NCS Australia —Sydney NSW
- Full-time
- Hybrid work
- Management
- Salesforce
- APIs
- Parental leave
Quick Apply

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Applied AI Engineer, Non-Financial Risk

Macquarie Group Limited -
Sydney NSW

Apply Now

Job Details

Permanent | Full-time

Benefits

Matched giving program
Annual leave
Work from home
Parental leave
Employee assistance program
Paid volunteer leave
Salary packaging

Qualifications

SQL
APIs
AI
Communication skills

Full Job Description

Our Model & AI Risk Management team provides independent oversight and challenge to ensure model and AI risks are well managed across Macquarie globally. We assess whether models and AI systems are fit for purpose, appropriately controlled, and aligned to the firm’s risk appetite and regulatory expectations. The team plays a critical role in enabling safe adoption of models and AI by providing robust validation, clear challenge and sound risk-based decisions.

We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you’re empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future.

What role will you play?

As an AI Engineer within our Model & AI Risk Management team, you will support the review and assessment of AI solutions used in the model validation space. You will focus on how these solutions are designed, implemented and deployed, helping to ensure they are robust, reliable and appropriately controlled in production environments.

You will combine hands-on engineering with independent validation, using coding, automation and evaluation tools to build solutions that help assess AI systems developed by others. Your work will support the evaluation of model behavior in real-world settings, helping to identify risks, improve consistency and strengthen oversight.

Working closely with engineers, data scientists and business stakeholders, you will bring an independent perspective that contributes to stronger system design, validation approaches and best practices across both traditional models and emerging AI technologies. You will also help the team stay current with new developments in AI and evolve its tools and methods in a fast-moving environment.

What you offer

Strong problem-solving ability, attention to detail, and a pragmatic approach to delivering high-quality outcomes
Strong communication and collaboration skills, with the ability to work effectively as part of a team while explaining technical concepts and system risks clearly to both technical and senior non-technical stakeholders
A curious and hands-on mindset, with a strong interest in understanding, testing and challenging modern AI systems and technologies, while exercising independent judgement in a second line risk function
Experience building or contributing to AI/ML-powered solutions end-to-end, with a clear understanding of how systems can fail in real-world environments
Strong Python engineering skills, with the ability to write clean, testable and maintainable code, alongside experience or exposure to engineering best practices such as version control, testing, DevOps/MLOps, and deployment in Linux/Unix or cloud-based environments
Practical experience working with data, including building or interacting with data pipelines and working across large datasets using SQL.
Familiarity with modern AI systems, including large language models (LLMs), small language models (SLMs), APIs, orchestration frameworks, and concepts such as fine-tuning, evaluation and model behaviour in production

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

What we offer

At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on employment type, include:

1 wellbeing leave day per year
Up to 5 additional service bonus leave days per year
Up to 20 weeks’ paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks’ paid leave for non-primary caregivers
2 days of paid volunteer leave and donation matching
Up to 12 months’ gender affirmation leave, including 6 weeks’ paid leave
Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
Access to a wide range of salary packaging options
Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
Hybrid and flexible working arrangements, dependent on role
Reimbursement for work from home equipment

About the Risk Management Group

Our Risk Management Group works as an independent, and centralised function, responsible for independent and objective review and challenge, oversight, monitoring and reporting in relation to Macquarie’s material risks. We are a global team that aims to manage the risks of today and anticipate the risks of tomorrow. Our divisions include compliance, credit, financial crime risk, market risk, operational risk, aggregate risk and prudential, and central.

Our commitment to diversity, equity and inclusion

We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team by clicking here.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

Apply Now

Refine Your Search

senior cloud devops engineer jobs in parramatta, nsw

Applied AI Engineer, Non-Financial Risk

Senior Technical Consultant - Education

Tech Architecture Sr Manager / Manager / Associate Manager / Specialist/ Sr. Analyst

Developer Experience Engineer (AI-DLC)

Desktop Support Engineer

Identity Engineer

Senior Fullstack Engineer

AI Engineer | Data & AI

Senior Technical Support Engineer, Observe by Snowflake

Senior Databricks Developer

Staff Engineer

Solution Architect

Team Lead (Software Engineering)

Lead Software Engineer - AI Enablement

Senior Consultant - AI Developer / Data Scientist

Senior Java Full Stack Developer - Market Risk Technology | Investment Bank

Delivery Consultant, AWS Professional Services

Professional Services Public Sector Presales Cloud Architect, AWS Professional Services ANZ

Salesforce Consultant | FSC Migration

Salesforce Commerce Cloud Lead

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