In-Demand Python developer Jobs in Melbourne, Vic

Sr. Forward Deployed Engineer
Databricks —Melbourne VIC
- SQL
- APIs
- AI
Technology Lead
CoStar Group —Melbourne VIC
- Full-time
- Azure
- Computer Science
- DevOps
Senior IT Engineer, Financial System
Airwallex —Melbourne VIC
- Full-time
- Computer Science
- Salesforce
- ERP systems
Senior AI Engineer, AI Accelerator - Hybrid
Wesfarmers —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Parental leave
Senior Platform Engineer
Mecca Brands Pty Ltd —Richmond VIC
- Full-time
- Azure
- Management
- Computer Science
Senior MLOPS Engineer
Australia Post —Richmond VIC
- Overtime
- Azure
- SQL
- AWS
Senior DevOps Engineer
Tes Global —Melbourne VIC
- Full-time
- Azure
- DevOps
- AWS
Quick Apply
Principal Engineer
Portable —Melbourne VIC
- $138,000 - $190,000 a year
- Hybrid work
- Azure
- AWS
- AI
- Profit sharing
- Parental leave
Quick Apply
1d
Senior DevOps Engineer
Australia Post —Richmond VIC
- Full-time
- Hybrid work
- Azure
- Management
- DevOps
11d
Senior DevSecOps Engineer
Bupa —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Scripting

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Senior Full-Stack Engineer| Fintech Scale-Up
The Argyle Network —Melbourne VIC
If you want to work on meaningful problems, ship real products, and have a genuine say in how things are built — keep reading. 5+ years in software engineering.

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Sr. Forward Deployed Engineer

Databricks -
Melbourne VIC

Apply Now

Job Details

Qualifications

SQL
APIs
AI

Full Job Description

CSQ327R184

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform.
Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity.
Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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python developer jobs in melbourne, vic

Sr. Forward Deployed Engineer

Technology Lead

Senior IT Engineer, Financial System

Senior AI Engineer, AI Accelerator - Hybrid

Senior Platform Engineer

Senior MLOPS Engineer

Senior DevOps Engineer

Principal Engineer

Senior DevOps Engineer

Senior DevSecOps Engineer

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