Top AWS Jobs in Sydney

Lead the design and development of modern data platforms, focusing on scalable architecture and high-performance data pipelines while ensuring security and compliance.

The Full Stack Software Engineer will develop, integrate, and deploy AI technologies, focusing on building scalable web applications and ensuring a great user experience.

Lead and coach an ANZ sales team to meet quota by implementing sales methodology, managing CRM/opportunity processes, mentoring account executives, driving territory growth, recruiting, and handling escalations with customers and channel partners.

Lead data strategy and architecture for AI-native SaaS, building secure, tenant-isolated context and retrieval layers, data platform, integrations and eventing. Define data contracts, models, and observability; make buy-vs-build decisions; mentor and grow a small Data team; partner with Product, Engineering, AI and Platform to enable reliable agentic AI features and compliant data access.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Provides high-touch technical support to Databricks’ largest customers by troubleshooting complex Spark, SQL, Delta, streaming, ML, and AI issues. Performs root-cause analysis, develops proofs of concept, monitors performance, creates playbooks, trains customer teams, and partners with Field Engineering, R&D, NOC, Sales, and Product teams. Acts as a trusted technical advisor during customer engagements and business reviews.

Provide high-touch technical support to Databricks’ strategic customers by troubleshooting complex Spark, SQL, Delta, streaming, ML, and AI issues. Perform root cause analysis, build and monitor proofs of concept, develop support playbooks, train customer teams, improve support processes, and advocate for customers. Partner with Field Engineering, Sales, Product, R&D, and NOC teams during customer engagements, including onsite technical presentations and production issue resolution.

Own the Android app end to end, including architecture, performance, releases, app store presence, experimentation, and roadmap. Lead and mentor mobile engineers, establish technical direction, and deliver polished native experiences. Partner with engineering and product leadership on growth, onboarding, and retention initiatives. Ship, instrument, measure, and iterate quickly in a PLG and A/B testing environment, while helping scale the mobile team.

Serve as a trusted strategic advisor, define solution roadmaps and enterprise architecture across the Atlassian ecosystem, design integrations and governance for regulated environments, guide change management and user adoption, prototype custom solutions, and drive thought leadership and account growth.

Design, build and scale production-ready AI capabilities and applications using Python and modern cloud tech. Collaborate with cross-functional teams to deliver secure, observable, and responsible AI solutions, mentor engineers, drive architecture decisions, and ensure operational excellence across AI platforms.

First dedicated site reliability engineer responsible for owning reliability, observability, incident response, and platform decisions. Projects include improving uptime and RTO, hardening GPU clusters, implementing metrics/tracing/alerting and SLOs, and optimizing AWS infrastructure and cloud spend while enabling CI/CD and deployment pipelines.

Lead architecture and hands-on development for risk, fraud, scam prevention, money operations, reconciliations, and chargebacks. Build resilient, low-latency, event-driven financial systems with auditable ledgers, strong correctness, and high availability. Mentor engineers, establish technical direction, support production ownership, and collaborate with Product, Data/ML, Compliance, and engineering leaders. Apply AI-assisted tooling and deliver scalable, compliant services across global payment infrastructure.

Leads Amazon Connect architecture, configuration, integrations, security, troubleshooting, operational support, and platform optimization. Designs contact flows, routing, conversational AI, APIs, event-driven solutions, analytics, identity integrations, and infrastructure automation. Owns technical delivery, platform quality, resiliency, and simplification while mentoring engineers and coordinating AWS, vendors, and internal stakeholders.

Lead the RESPOND product: define strategy, roadmap, and governance for incident response tooling, SOAR automation, AI augmentation, and evidence workflows. Drive SOAR playbooks, integrations across EDR/XDR/SIEM/cloud/identity, vendor evaluations, KPIs, and agile delivery while ensuring auditability for AI-assisted/autonomous responses.

Build and ship a production project for Agora, a decentralized distributed training system. Develop multiprocessing, asynchronous I/O, and threading components; work with large-scale training infrastructure across AWS and GCP; contribute daily to production code through reviews and mentorship; and present final project results to engineering and research teams.

Build strategic customer relationships, lead technical onboarding and cloud deployments, provide hands-on support, drive feature adoption, gather feedback, lead roadmap discussions, and partner with sales on renewals and expansions. The role serves as the primary customer contact while advocating for customer needs across Product Management and Technical Support.

The role involves designing and building cloud-native data platforms and pipelines, optimizing data storage, and consulting with clients on data solutions. It requires hands-on engineering skills and experience with modern data technologies.

The role involves leading data platform engineering, defining technical direction, advising on modern data strategies, and mentoring teams in a consultancy environment.

Provide 24/7 application support for mission-critical payment platforms: monitor production, investigate and resolve incidents, manage changes and releases, partner with engineers and vendors, improve observability and automation, support deployments and operational readiness, and maintain operational documentation to enhance service reliability.

As a Founding Engineer, you'll own core product and infrastructure decisions, building scalable software and transformative AI solutions for millions of users.

Lead strategic cloud advisory projects, providing insights to senior stakeholders, translating strategy into delivery plans, mentoring teams, and influencing transformation decisions.

Provide incident response and offensive security services: respond to and investigate cyber incidents, perform penetration testing and adversary simulations, assess cloud and enterprise environments, produce reports and remediation recommendations, support scoping and business development, and collaborate with cross-functional teams on high-stakes client matters.

As an Engineering Manager for the Core Performance team at Stripe, you will lead a team to improve efficiency and latency, foster engineering excellence, and collaborate on infrastructure solutions across the company.

The Lakebase Sales Specialist will generate new revenue for Databricks Lakebase by engaging application development teams, driving strategic account engagements, and collaborating cross-functionally to enhance Lakebase sales efforts and marketplace presence.

Leads end-to-end enterprise architecture for AI, data, cloud, integration, and digital initiatives. Designs AI-enabled solutions, agentic workflows, AI-ready data platforms, integration patterns, governance frameworks, and security controls. Partners with business, engineering, data, security, Microsoft, ServiceNow, and vendors to deliver strategic technology outcomes. Supports architecture assessments, solution designs, compliance reviews, roadmaps, and reusable enterprise standards.