Top AWS Jobs in Melbourne

Lead the technical direction, architecture, development, and operational health of Xero’s global bill-payments platform. Build highly available, secure, scalable backend services, contribute hands-on production code, solve distributed fintech problems, and guide technical planning. Partner with product, security, risk, legal, and operations teams while mentoring engineers, improving reliability and observability, leading on-call practices, and promoting AI-assisted engineering workflows.

Leads enterprise sales engineering engagements from discovery through closed-won, including technical strategy, solution demonstrations, workshops, proof-of-value evaluations, stakeholder influence, and blocker resolution. Partners with account executives, product, support, and go-to-market teams to align Datadog solutions with customer outcomes. Documents deal progress, provides product feedback, mentors peers, and creates scalable enablement resources.

Lead Xero’s Cloud Networks team, setting direction and delivering a multi-year strategy across AWS and edge providers. Manage and develop seven engineers while balancing roadmap priorities with support requests and incidents. Oversee cloud networking, DNS, CDN, reliability, security, cost, technical debt, and modernization. Collaborate with Product, Security, and Cloud Capabilities teams, establish effective ways of working, and communicate decisions clearly to stakeholders.

Lead technical pre-sales engagements by designing scalable MongoDB-based architectures, advising customers, conducting technical discovery, demonstrations, proofs of value, sizing, and presentations. Partner with sales teams on account strategy, pipeline generation, and demand creation while fostering customer success. Mentor team members, communicate product value to technical and business stakeholders, and support cloud, modernization, DevOps, database, and AI architecture initiatives.

Design and build scalable data solutions spanning ingestion, modelling, pipelines, and platform infrastructure. Own complex technical problems, improve data quality and self-service capabilities, and operate production systems with monitoring and incident response. Use Snowflake, dbt, Prefect, AWS, Terraform, and Flink to develop reliable data platforms and real-time products. Collaborate with product, security, engineering, and data-consuming teams while promoting automation, testing, CI/CD, and modern engineering practices.

Drive revenue growth within assigned enterprise accounts by building pipeline, prospecting into CTOs and engineering/IT leaders, closing complex deals, and partnering with Solutions Architects, Professional Services, Customer Success and channel partners to maximize deal size and satisfaction.

Design, build, and operate production systems powering Xero’s ML, LLM, and agentic AI features. Responsibilities include backend services, orchestration, infrastructure, APIs, cloud deployment, observability, reliability, cost and latency optimization, incident response, and large-scale data processing. The role also involves establishing engineering standards, mentoring engineers, and partnering with scientists and cross-functional teams to deliver dependable AI products.

Design, build, and operate production backend systems, services, pipelines, and infrastructure powering Xero’s LLM-driven and agentic AI products. Responsibilities include system architecture, APIs, cloud infrastructure, reliability, observability, cost and latency management, on-call support, incident response, data processing, and mentoring engineers. The role partners with scientists and cross-functional teams to operationalize AI systems at scale without requiring model-training expertise.

Lead complex, multi-host intrusion investigations across endpoint, identity, and SIEM telemetry. Perform malware analysis, threat research, detection engineering, automation, and agentic workflow development. Own SOC quality, review analyst and AI output, improve detection and remediation, mentor analysts, and advise on SOC direction. Collaborate with Product, Engineering, and Threat Hunting while communicating technical risks to diverse audiences and publishing security research.

Site Reliability Engineer responsible for improving reliability across Xero’s global platform. The role involves building Kubernetes operators and automated tooling, enhancing AWS telemetry and alerting, implementing chaos engineering, load shedding, and rate limiting, and coordinating incident management and post-incident reviews. The engineer partners with product and infrastructure teams to design resilient systems, diagnose distributed-system issues, and apply sustainable reliability improvements.

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.

Build and operate AI enablement platforms, internal skills marketplaces, and AI tool distribution systems used by engineering teams. Develop agent skills and remediation agents, establish AI engineering best practices, and manage production reliability through monitoring, runbooks, and rollback planning. Collaborate with AWS, Microsoft, and GitHub on early-access technologies while influencing technical direction and supporting a growing AI-focused team.

Build and support platform systems that create test environments and provide reliable test data for engineering teams. Develop Golang services and infrastructure using Terraform, AWS, Kubernetes, EC2, and Lambda. Improve testing workflows, shorten feedback loops, support legacy and modern systems, communicate across teams, and participate in an on-call rotation.

Shape technical strategy for Xero’s payments products and platform portfolios, influencing architecture, engineering standards, and scalable distributed systems across 40–50 engineers. Partner with senior stakeholders, remain hands-on with design and code, guide decisions on legacy systems, mentor senior engineers, and lead initiatives involving payment rails, APIs, cloud platforms, AI-powered workflows, and global transaction infrastructure.

Shape technical strategy for Xero’s Payments Products and Payments Platform portfolios. Design scalable, resilient distributed systems, guide architecture across 40–50 engineers, evaluate legacy systems for extension or migration, and remain hands-on with technical work. Collaborate with product and senior engineering stakeholders, mentor Staff and Senior engineers, establish engineering standards, and support payment platform modernization, AI-powered workflows, global rails, and growth experimentation.

Build and improve core AI and machine learning infrastructure enabling teams to develop, train, evaluate, deploy, and operate ML models and pipelines. Design scalable distributed systems, support end-to-end ML lifecycles, implement MLOps automation, collaborate with product engineering teams, lead projects from design through launch, review code, document solutions, and mentor junior engineers. Work may include dataset curation, LLM fine-tuning, model serving, monitoring, and generative AI systems.

Design, develop, and own scalable big data and software solutions for Atlassian’s internal data platform. Collaborate with engineers and architects to ship features, uphold coding standards, and improve security, reliability, availability, performance, and operational excellence. Build and deploy services using distributed systems, cloud platforms, and big data technologies while applying data-driven problem solving.

Deploys, configures, optimizes, and supports CrowdStrike Falcon’s AI-powered detection and response capabilities. The role develops automation playbooks and API integrations, tunes machine-learning detection models, troubleshoots customer issues, supports threat hunting and forensic analysis, integrates security workflows, and leads AI workshops. It also requires customer engagement, technical presentations, project prioritization, cross-functional leadership, and mentoring while applying cybersecurity, AI/ML, and platform deployment expertise.

Lead technical presales engagements for New Relic prospects and customers. Conduct discovery workshops, demonstrations, presentations, proofs of concept, and pilots; resolve technical objections; align observability solutions with customer business outcomes; and partner with account executives to drive revenue. Build executive and stakeholder relationships, provide product feedback, support marketing initiatives, and serve as a trusted technical advisor throughout the sales cycle.

Lead the design and delivery of secure, scalable real-time payment solutions across cloud-native platforms. Design APIs, microservices, distributed systems, and event-driven architectures using TypeScript, Java, AWS, and Kafka. Provide technical leadership across engineering squads, influence architecture and standards, champion DevSecOps and production ownership, and mentor engineers. Promote responsible use of AI-assisted engineering tools while supporting the evolution of Australia’s Faster Payments platform.

Lead automation testing for Digital Identity Services using C#, Selenium WebDriver, SpecFlow, RestSharp, and Postman. Develop and support .NET C# and Angular applications, perform API and data-driven testing, and ensure architecture, security, and compliance standards. Participate across the full development lifecycle, resolve incidents, support releases, document solutions, and provide test completion signoff. The role requires Australian citizenship, residency eligibility, and the ability to obtain security clearance.

Build and operate secure, scalable technology platforms for airline operations. Responsibilities include developing CI/CD pipelines, automating infrastructure with Infrastructure as Code, managing AWS environments, embedding security controls, monitoring performance, remediating vulnerabilities, and improving DevSecOps tooling and processes. The role collaborates with engineering, product, and cybersecurity teams to strengthen reliability, resilience, and secure software delivery.

Drive technical success, adoption, and expansion for new Snowflake customers. Advise on data strategy, architecture, integrations, and platform activation; deliver implementation guidance using AI-powered development tools; create scalable enablement programs; collaborate with account, product, engineering, and partner teams; and represent Snowflake in customer workshops and industry events.

Provides technical leadership for Finance, Procurement and Supply platforms, focusing on Oracle E-Business Suite, Oracle Fusion readiness, Boomi integrations and AWS-hosted applications. Establishes secure engineering standards, supports DevSecOps, automation and AI adoption, improves platform resilience and performance, resolves complex technical issues, and guides decisions through coaching and collaboration with architecture, delivery and vendor teams.

Build and deploy production-grade machine learning software, tools, infrastructure, and scalable solutions. Collaborate with engineers, data scientists, and commercial leads to solve client challenges, lead technical scoping and architecture decisions, define ML deployment standards, and advise customers and partners. The role requires expertise across the ML lifecycle, Python, software engineering, cloud infrastructure, containers, orchestration, and core machine learning concepts.