Software EngineerOn-Site

• Office locations in Sydney and Melbourne CBD.

We’re looking for a senior Software Engineer with deep expertise in Python, AWS, and PySpark to help build production-grade data processing and platform services for financial services use cases. If you love solving complex problems, automating everything, and owning high-impact features end-to-end, this role is for you.

You’ll be part of a collaborative engineering squad that champions a shift-left quality culture, strong automation, and resilient design — all while working with a modern AWS-native stack (Glue, EMR, S3, Airflow, Spark) and robust CI/CD practices.

What You’ll Do

• Build scalable, reliable services and data pipelines using Python, PySpark, and AWS (Glue, EMR, S3).
• Embed automation across testing, security, and deployment, including unit, integration, and contract tests.
• Design and operate workflows using Airflow and AWS Glue, optimising for performance, reliability, and cost.
• Collaborate across product, platform, and QA teams to deliver systems that are testable, observable, and resilient.
• Own features end-to-end — design, implementation, code review, performance tuning, deployment, and production support.
• Contribute to engineering standards, DevSecOps practices, and continuous delivery improvements.
• Mentor engineers and uplift team capability, tooling, and engineering best practice.

Mandatory skills & experience:

• 8+ years software engineering experience with strong Python development skills.
• Expertise in AWS Glue, PySpark, SQL, and large-scale data processing on AWS.
• Hands-on experience designing automation frameworks and working in microservices environments.
• Strong familiarity with observability tools (CloudWatch, Splunk, metrics, logging, tracing).

Technical strengths we value:

• Python and shell scripting in Linux environments
• Airflow orchestration (DAG design, retries, SLAs)
• SQL for data transformation and analysis (Teradata/Oracle exposure a plus)
• CI/CD pipelines and shift-left testing (TeamCity, GitHub Actions, Jenkins, Octopus)
• Cloud-native engineering principles (scalability, security, cost optimisation)
• Effective use of AI development tools (e.g., GitHub Copilot, Roo Code)

Nice to Have

• Experience with Ab Initio or SAS for legacy ETL migrations
• Knowledge of Redshift, Athena, EMR, or Iceberg
• API/microservices integration and testing
• Contract testing and modern test automation frameworks (Playwright, Appium, DevTest, Sahi)
• Dashboarding and reporting for engineering or operational insights
• Team leadership or mentoring experience

Why Join Us?

• Work with a modern, cloud-native, high-scale AWS ecosystem
• Solve meaningful technical problems in a highly skilled engineering squad
• Drive best practices, automation, and engineering standards
• Opportunity to influence architecture, tooling, and the developer experience