Top AWS Jobs in Sydney

Design and build high-integrity backend systems for the Yield investment product. Own end-to-end delivery of investment workflows, maintain financial infrastructure (reconciliation, ledgers, registries), ensure reliability and observability, integrate with external investment providers, and promote engineering best practices.

Lead IT engineering for Legal, Risk & Compliance: build workflows, automations and AI integrations; own legal apps and orchestration across SaaS and cloud platforms; manage incidents/on-call, documentation, and end-to-end feature lifecycle while advising LRC teams globally.

Design and build reliable backend systems for the Yield investment product. Own end-to-end delivery of investment workflows, maintain financial infrastructure (reconciliation, ledgers), integrate with external providers, ensure observability and API quality, and collaborate with Product, Infrastructure, and Design.

As a Solutions Engineer, you will provide technical expertise to prospective customers, supporting them in evaluating the Sonar product and ensuring successful adoption.

Lead global corporate and cloud network architecture and roadmap. Design, deploy and operate secure, highly available hybrid LAN/WAN/Wi‑Fi/VPN across multi‑cloud and multi‑region sites. Own incident response, vendor hardware configuration, international connectivity (including China), infrastructure-as-code automation, documentation, mentoring, and participate in global on‑call rotations.

Lead and mentor engineers to design, build, and maintain scalable automation and onboarding systems. Implement AI/data-driven risk detection, collaborate with product/ops/compliance, drive architecture and reliability, and improve operational efficiency.

Lead backend architecture and deliver core investment workflows for the Business Accounts platform. Build and maintain financial infrastructure (reconciliation, ledgers, unit registries), ensure high reliability and observability, integrate with external investment providers, write testable code, and collaborate with Product, Infrastructure, and Design.

Lead architecture and deliver backend systems for Business Accounts, building investment workflows, reconciliation controls, unit registries, and ledgers. Ensure reliable integrations with external investment providers, promote observability and API design best practices, and collaborate with Product, Infrastructure, and Design to ship production-grade financial infrastructure.

Provide technical support for Microsoft AD, Azure, Microsoft 365 and Exchange environments; troubleshoot desktops, servers, firewalls and networks; work with cloud platforms (Azure, Entra, Hyper-V, Citrix, AWS); use ticketing systems; collaborate with senior engineers on projects and maintain secure, stable customer environments while building trusted relationships.

Lead technical solution architecture and delivery for cloud data/ETL projects on GCP. Design data warehouses, model data, translate requirements into ETL/SQL code, coach developers, manage 1-2 small projects, collaborate with PMs/DBAs/QA, produce design documentation, and support clients and analytics teams.

Own and evolve the AI-native platform and developer experience: build CI/CD, build/test/deploy loops, agent-safe sandboxes, cloud infra and cost controls, SLOs and observability, incident response, and platform capabilities that multiply engineering productivity across teams.

Lead end-to-end design, validation, and production deployment of ML models on physiological and digital health data. Provide technical leadership for time-series and biomedical signal problems, establish modeling standards, build evaluation frameworks, partner with engineering and clinical/regulatory teams, and mentor data scientists to deliver clinically meaningful, scalable AI solutions.

Design and deliver scalable analytics solutions and models, create specifications for engineering, work with complex cloud-hosted datasets, apply advanced data science and ML methods, support product roadmaps, mentor and coordinate across global teams.

Design, build and operate scalable Lakehouse data platform and batch/real-time pipelines. Develop data assets, streaming solutions (Kafka/Flink), ETL/ELT workflows (Airflow, DBT), and cloud-native architectures on AWS, Snowflake and Databricks. Optimize SQL and Spark workloads, manage schema and performance for Iceberg tables, enforce data quality and governance, and partner with data science, analytics and product teams to deliver cost-efficient, reliable data solutions.

Design, build, and operate scalable batch and real-time data pipelines and Lakehouse data assets using AWS, Snowflake, Databricks, Kafka, and Flink. Collaborate with data science, analytics, and product teams to ensure data quality, modelling, governance, performance, and cost-efficiency.

Design, train, and deploy machine learning models to improve customer experience and prevent fraud. Work with large datasets, optimize model performance, ensure scalable real-time production deployments, and collaborate cross-functionally with fraud, product, and engineering teams while advancing MLOps practices.

Lead infrastructure and reliability strategy across the organization. Architect multi-region cloud platforms, define observability and SLOs, lead incident response, build automation and self-service platforms, mentor engineers, apply AI-assisted tools, and drive cloud cost optimisation and disaster recovery practices.

The role requires defining and evolving the architecture for enterprise platforms, collaborating with teams on integration patterns, and ensuring solutions are scalable and secure.

The Senior Cloud Engineer designs and implements AWS solutions, focusing on automation, security, and continuous improvement while collaborating with teams and ensuring robust cloud architecture.

Build, operate, and scale distributed cloud infrastructure and platform services used across Stripe. Focus on automation, reliability, observability, debugging production systems, and supporting internal customers. Participate in roadmap planning and incident response to maintain high availability and performance at scale.

The role involves software development, design, and testing for web, mobile, and cloud applications, focusing on test automation and collaboration with global teams.

The Solution Architect is responsible for the end-to-end design of solutions, ensuring alignment with technology strategy and governance standards while engaging with stakeholders and guiding engineering teams throughout the delivery lifecycle.

The Senior Director, Engineering & Quality leads the execution of engineering outcomes for product development, focusing on architecture, quality strategies, operational performance, and risk management while mentoring cross-functional teams.

Quota-carrying enterprise sales role focused on generating, qualifying, and closing AI opportunities within assigned territory. Partner with field teams and technology partners, craft executive presentations and proposals, manage pipeline and CRM, and coordinate AI GTM resources to win deals.

Lead technical direction for AI-native agent products, solve high-leverage engineering problems, improve reliability and evaluation, partner with product and customer teams, mentor engineers, and ship production-grade autonomous agent features rapidly.