EMPLOYMENT

Job Description Cloud Solution Engineer Position Title: Cloud Solution Engineer Reports To: Technical Lead, Software Engineering Business Unit / Team: Architecture & Engineering, Technology Office Key Purpose of the Role The Cloud Solution Engineer (Data Integration team) is responsible for designing, building, and operating reliable, cloud-native data integration solutions that enable efficient data flow across systems. This includes supporting both real-time and batch requirements, ensuring security, observability, and alignment to modern engineering standards. The role focuses on ingesting and transforming data from multiple systems using scalable event-driven and batch processing techniques, and delivering harmonised datasets via APIs, messaging platforms, and data stores. It also includes overseeing secure file-based integrations, implementing automated infrastructure patterns, and applying DevOps/cloud-native best practices. You will collaborate with software engineers, data analysts, architects, and business SMEs to deliver solutions that are scalable, observable, resilient, and well-documented . Key Responsibilities 1. Data Integration Design & Delivery Design and implement streaming and batch data ingestion pipelines using cloud-native services. Transform and harmonise data into common data models, staged in relational databases, and exposed through APIs or messaging interfaces. Build resilient file transfer workflows (scheduling, parsing, transformation logic). Develop and maintain reusable integration patterns, templates, and infrastructure-as-code. 2. Cloud-Native Engineering & Automation Use infrastructure-as-code and CI/CD pipelines for deployments. Monitor and maintain non-production and production cloud environments (performance, cost, availability). Ensure services are secure, observable, and instrumented with logging and alerting. 3. DataOps & DevOps Practices Apply DevOps and DataOps principles: continuous integration, configuration-as-code, automated testing. Leverage git workflows and CI/CD tooling for agile and rollback-safe delivery. Align with platform-wide standards and architectural guardrails. 4. BAU, Continuous Improvement & Incident Management Support BAU operations for data integration services, ensuring high availability. Proactively improve performance, reduce complexity, and strengthen resilience. Respond to incidents and troubleshoot across cloud services, APIs, data stores, and file transfer systems. Complete incident post-mortems and implement lessons learned. 5. Collaboration & Technical Leadership Partner with analysts, developers, architects, and external partners to deliver fit-for-purpose solutions. Contribute to technical designs, data mappings, and runbooks. Provide mentorship and support capability uplift through chapter/guild activities. 6. Continuous Improvement & Stakeholder Engagement Identify opportunities for reusability and reducing integration friction. Translate business requirements into technical solutions clearly and effectively. Required Capabilities, Qualifications & Experience Capabilities Cloud-native integration services: serverless, containers, pub/sub, orchestration. Streaming/event-driven platforms (e.g., Kafka). Programming & scripting: TypeScript, Python (preferred), or similar. Infrastructure as Code: Terraform or equivalent. CI/CD pipelines: Git workflows, automated build/test/deploy (Azure DevOps desirable). Relational databases (e.g., PostgreSQL) for staging and transformations. Strong SQL (ETL and query performance tuning). Graph databases (AWS Neptune highly desirable). AWS Glue with PySpark for large-scale processing. Experience Proven end-to-end delivery of cloud-based data integration solutions. Data modelling, profiling, and source-to-target mapping. Strong DevOps/DataOps practices (version control, monitoring, automation). File-based integration design and operations. Agile squad experience. Strong documentation and stakeholder engagement skills. Experience Hybrid work model Melbourne CBD location Salary range: 190K ~ 210K