Cloud Solutions Engineer

12 hours ago

Docklands, Victoria, Australia Professional Search Group Full time $190,000 - $210,000 per year

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

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