Top AWS Jobs in Sydney

The Ruby Engineer will focus on web scraping and browser automation, fix code issues promptly, support customers, and enhance search engine integrations.

The Anti-Bot Engineer will research and implement evasion techniques against sophisticated anti-bot systems, debug TLS fingerprinting, and analyze browser behavior to optimize scraping methods.

Looking for a senior Ruby on Rails engineer to own complex projects and improve the product's technical direction, requiring extensive experience and a high standard of coding.

Design, implement, and manage scalable cloud infrastructure across major providers. Implement IaC, monitor performance and security, troubleshoot incidents, optimize costs, run migrations, enforce compliance, collaborate with dev/ops/security teams, and maintain documentation.

Own and improve reliability of deployment and release systems: define SLOs/SLA/error budgets, instrument pre-production, build monitoring and synthetic tests, run on-call and incident response, create runbooks and DR readiness, and automate deploys and observability to reduce MTTD/MTTR.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Ubuntu Pro Sales Engineer drives adoption of Ubuntu Pro, advises customers, delivers presentations, and collaborates with sales teams to meet targets in a global setting.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Own the React Native application end to end, including architecture, performance, releases, app-store presence, and roadmap. Lead and mentor two mobile engineers, establish technical direction, and collaborate on engineering and product strategy. Deliver polished iOS and Android experiences, run experiments, measure growth and retention impact, and iterate rapidly. The role may help expand the mobile team as the app grows.

Design, develop, and maintain cloud-based analytics applications for life sciences supply chain operations. Build scalable backend services, provide architectural guidance, write high-performance code, and collaborate with data scientists, architects, product teams, and QA. Contribute to product strategy, estimate and track complex initiatives, support Agile development, and participate throughout the software development lifecycle.

As a Postgres Deployment Engineer, you will manage PostgreSQL lifecycles, optimize CI/CD systems, resolve production issues, and mentor teammates. You will focus on deployment stability and enhance developer tools.

Lead pre-sales technical architecture for banking clients: run workshops, design end-to-end Temenos solutions (SaaS/private/public/on‑prem), produce RFP/RFI technical responses, define integration/migration and sizing, deliver demos and thought leadership, and collaborate with sales, product, delivery, and partners.

Provide technical pre-sales and consultative architecture support for Australian and NZ enterprise clients. Create and maintain client architecture plans, run scoping workshops, design high-quality pre-sales deliverables, build OEM and partner relationships, and act as a trusted advisor across infrastructure, cloud, networking, security, applications, and transformation initiatives.

Build AI-powered client products from discovery through production using full-stack engineering, AI coding tools, prompt and context engineering, and critical validation of generated outputs. Develop frontend and backend features, support testing, QA, DevOps, and CI/CD, while collaborating directly with client engineering, product, and domain teams. Translate ambiguous business needs into production-ready systems, communicate clearly with stakeholders, and contribute to consulting engagements in a hybrid Sydney-based environment.

Lead design and operation of Neara's ML platform: roadmap for training pipelines, distributed compute, model serving, experiment management, and monitoring. Build tooling to accelerate research-to-production, optimise performance (including custom CUDA/sparse tensors), and enable scalable, secure deployments across cloud and on‑prem environments while mentoring ML engineers.

As a Staff Software Engineer at Ripple, you will lead infrastructure development for financial applications, ensuring scalability, performance, and security. Responsibilities include overseeing technical teams, designing scalable systems, and implementing best engineering practices.

Lead enterprise vulnerability management and internal penetration testing across infrastructure, web, API and cloud environments. Architect and operate scanning infrastructure and automation, develop security tooling and integrations, prioritize remediation with risk context, and evaluate AI-driven approaches to enhance detection and assessment. Contribute to process and policy improvements and participate in global Cyber Defense Centre activities.

Lead global incident response and vulnerability analysis; deploy and configure SIEM and SOAR; perform forensic triage and threat hunting; develop automated playbooks and ML-based detection use cases; integrate cloud security (Azure/AWS/GCP); evaluate log correlations and advise on information security, risk, and privacy across the organisation.

Own technical execution of customer integrations across APAC: design, build, deploy, test, and maintain Cresta integrations with contact center voice, chat, and digital platforms while partnering with CSMs, Solution Architects, and Engineering to resolve issues and scale implementations.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

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, 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.