Senior Data Engineer

• Design and evolve scalable, resilient cloud platform capabilities that enable data and analytics teams to deliver independently. - Build self-service tooling and golden paths for provisioning environments, infrastructure and pipelines using automation and Infrastructure as Code. - Create reusable CI/CD patterns that support reliable deployment, release and rollback across data, infrastructure and analytics workloads. - Embed security, governance and compliance by design, incorporating identity, access, secrets management and automated policy controls into platform capabilities. - Establish reliability and observability standards, including SLOs/SLIs, monitoring, logging, tracing, alerting and effective incident management. - Partner with engineering teams to understand friction points and translate recurring needs into shared platform capabilities. - Explore and validate emerging technologies, turning proven solutions into supported, reusable platform patterns. - Optimise cloud consumption and platform costs using FinOps principles, cost visibility and practical engineering guardrails. - Influence architecture and engineering standards, providing senior technical leadership across the platform ecosystem. - Mentor and enable engineers, promoting knowledge sharing, continuous improvement and adoption of effective platform practices.

• Demonstrated experience as a Senior Platform Engineer, DevOps Engineer, Site Reliability Engineer or similar, ideally within an enterprise-scale or regulated environment. - Proven experience building internal platforms, self-service tooling or reusable engineering patterns adopted across multiple teams. - Deep knowledge of cloud-native infrastructure and distributed systems, ideally supporting large-scale data and analytics environments. - Strong hands-on experience with Infrastructure as Code, with Terraform preferred, including reusable modules and templates. - Proven experience designing CI/CD pipelines and reusable deployment patterns for platform, application or data workloads. - Strong understanding of SRE practices, including SLOs/SLIs, error budgets, incident management and platform reliability. - Experience implementing observability across complex environments, including monitoring, logging, alerting and tracing. - Understanding of containerisation and orchestration technologies, including Docker and Kubernetes. - Strong knowledge of security-by-design and policy-as-code, including identity, secrets management and secure delivery pipelines. Experience with technologies such as OPA or Sentinel is valuable. - Experience applying FinOps principles to cloud cost optimisation and consumption management. - A strong product mindset, with the ability to understand engineering users, prioritise capabilities and measure adoption and outcomes. - Excellent stakeholder engagement skills, with the ability to influence without direct authority, lead technical initiatives and mentor peers. Your life at Jetstar is unlike any other Live the travel dream: You and your nominated travel companions can takeoff more with our famous Qantas Group Staff Travel discount. Make work feel like a holiday: Join a fun, driven team where work feels like a holiday. Our people take every opportunity to takeoff together and find ways to help their teammates soar. There’s a place for everyone at Jetstar: For us, travel and meeting new people go hand in hand. We invite our people to get involved in various Employee Network Groups that play an important role in creating our inclusive and supportive culture that we are fiercely proud of. We believe that teams with a diversity of ideas and experiences are more creative, innovative and solve problems quickly. We welcome applications from anyone who wants to takeoff with us. If you have support or access requirements, just reach out and let us know what you need. We’re Jetstar. Let’s take off together We can’t wait to hear from you. Applications will close on the 27th November - Apply at the earliest to be considered!

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