Top AWS Jobs in Melbourne

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.

Implements and operates enterprise security controls across identity, endpoints, cloud, SaaS, networks, and data. Automates security workflows using scripts, APIs, infrastructure as code, and CI/CD checks. Maintains IAM, endpoint protection, DLP, device posture, and secure configuration baselines. Supports vendor risk reviews, insider-risk monitoring, physical access integrations, incident troubleshooting, on-call operations, documentation, and remediation of security gaps across corporate technology environments.

Implements, operates, and improves enterprise security controls across identity, endpoints, cloud, SaaS, networks, and data. Builds automation using scripts, APIs, infrastructure-as-code, and CI/CD security checks. Supports IAM, endpoint protection, DLP, vendor risk assessments, physical access integrations, incident troubleshooting, and security operations. Partners with engineering, IT, legal, privacy, and business teams to deploy secure baselines, remediate risks, monitor control health, and improve enterprise security capabilities.

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.

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.

Leads technical presales engagements for New Relic’s observability platform. Partners with account executives to qualify opportunities, conduct discovery workshops, deliver demonstrations and proofs of concept, resolve technical objections, and align solutions to customer business outcomes. Builds executive and stakeholder relationships, supports revenue goals, provides product feedback, and contributes to marketing activities and competitive positioning.

Leads regional ICT strategy, infrastructure, cloud, network, identity, endpoint, vendor, and service operations for Shield AI’s Australian hub and Asia-Pacific/Middle East programs. Ensures sovereign data handling, export-control compliance, classified-environment access controls, cybersecurity, resilience, and accreditation. Manages a technical team, budget, vendors, IT assets, site deployments, executive support, and customer engagements while aligning Australian requirements with US enterprise standards.

Develop, deploy, and improve distributed big-data pipelines for data ingestion, fusion, machine learning, and network analysis. Lead end-to-end data engineering solutions, improve scalability and reliability, support security and compliance reviews, and serve as a technical expert in customer engagements. Collaborate with engineering, data science, product, and public-sector stakeholders while evaluating tools and mentoring teams.

Leads and grows an AI Deployment Engineering team responsible for delivering agentic AI implementations, customer adoption, and measurable business outcomes. Owns portfolio roadmaps, staffing, delivery standards, technical quality, customer relationships, and cross-functional coordination. Establishes reliable, safe, auditable deployment practices and remains technically hands-on with agent architecture, evaluations, integrations, and production troubleshooting.

Designs and deploys agentic AI workflows and integrations for enterprise customers. Leads implementations from scoping through adoption, builds APIs and automations, configures data connections and guardrails, evaluates agent performance, and manages human-in-the-loop processes. Acts as the primary technical customer contact while coordinating engineering, data science, product, and customer success teams. Owns implementation roadmaps, requirements, acceptance criteria, documentation, and measurable delivery outcomes.

Drive growth within existing enterprise accounts by identifying and closing new business opportunities, expanding into new lines of business, prospecting technical and executive stakeholders, building customer relationships, and managing complex sales processes. Collaborate with solution architects, professional services, customer success, and channel partners to maximize deal value and customer adoption. The role is hybrid in Melbourne, requiring three office days per week.

Designs enterprise file and object storage architectures for AI, analytics, data lake, and enterprise workloads. Partners with customers on solution sizing, data flows, performance, scalability, and protection requirements; leads technical workshops, benchmarks, and proofs of concept; and presents recommendations to technical and executive audiences. The role supports presales engagements, RFIs/RFPs, competitive positioning, and product roadmap feedback while requiring expertise in S3, NFS, SMB, AI/RAG pipelines, and modern storage platforms.

Provides senior technical pre-sales leadership for enterprise, public-sector, and commercial customers in Melbourne. Designs hybrid and multi-cloud architectures, leads technical discovery, presents solutions to technical and executive audiences, runs proofs of concept, supports competitive evaluations, advises customers on cyber resilience and data protection, and partners with account teams to qualify and win opportunities.

Develop software features and bug fixes, write clean and tested code, participate in code reviews, debug issues, document solutions, and collaborate with automation testers and cross-functional teams. The role involves working on well-defined tasks, supporting senior engineers, following Agile/Scrum practices, and continuously developing technical skills while using .NET, Node.js, cloud platforms, and potentially React or Angular.

Build and maintain scalable Java backend services and serverless APIs on AWS. Develop REST and GraphQL APIs, deliver features from concept through production, tune database and service performance, debug issues, write automated tests, review code, and collaborate with product and frontend teams.

Build and support scalable AWS and GCP cloud platforms, infrastructure, CI/CD pipelines, container environments, and Infrastructure as Code. Improve observability, reliability, security, developer self-service, incident response, and operational practices. The role also involves troubleshooting, automation, vulnerability management, architecture contributions, cloud modernization, documentation, and collaboration with engineering, security, platform, product, and testing teams.

Support alliance managers, solution providers, and managed service partners across Australia by delivering cybersecurity enablement, technical training, demonstrations, proof-of-concept guidance, accreditation support, and opportunity assistance. Build trusted partner relationships, promote CrowdStrike’s cloud-native security platform, improve partner technical independence, support joint sales initiatives, and identify professional services opportunities. The role requires security architecture knowledge, strong communication, consulting or sales engineering capability, AI technology experience, and travel to partner locations.

Lead architecture and implementation of Red Hat OpenShift Virtualization and OpenStack solutions for enterprise customers. Design production-grade infrastructure, guide virtualization migrations, conduct assessments and workshops, deliver proofs of concept, and advise senior stakeholders. Collaborate with product, engineering, services, and sales teams while developing architectural best practices, thought leadership, and reusable assets. The role requires deep expertise in virtualization, Kubernetes, OpenShift, OpenStack, Linux, networking, datacenter infrastructure, and customer-facing consulting.

Design, build, and operate secure, scalable full-stack applications, APIs, services, databases, and AWS cloud solutions. The role includes DevOps, infrastructure as code, CI/CD, automated testing, production support, incident response, observability, and technical debt management. The engineer will provide hands-on technical leadership, mentor colleagues, champion Agile practices, responsibly use AI-assisted development tools, and collaborate with Product, Architecture, QA, Security, and business stakeholders.

Build end-to-end analytics experiences for Linktree creators, spanning event instrumentation, ingestion, aggregation, GraphQL APIs, React interfaces, and social platform integrations. Improve data quality, attribution, reliability, performance, and observability while incorporating AI into development and product features. Partner with product, design, and data teams to prioritize metrics and mentor peers.

Designs and delivers AI-powered security automation, agents, RAG solutions, cloud-native platforms, integrations, and ChatOps capabilities. Builds event-driven pipelines across SIEMs, cloud services, and business systems while applying secure software engineering, CI/CD, and DevSecOps practices. Partners with technical, delivery, sales, and customer teams to solve complex security challenges, improve operational efficiency, and mentor others. The role requires extensive enterprise software, AI/ML, cloud, cybersecurity, and automation experience, with strong Python and AWS expertise.

Provides senior technical leadership for Secure Desktop and Identity Services. The role sets technical direction, shapes product roadmaps, designs and implements platform services, builds CI/CD and automation tooling, supports reliable operations, and mentors engineers. Responsibilities span Windows and macOS platform engineering, cloud infrastructure, identity and access management, DevSecOps, microservices, and AI-enabled engineering practices. The engineer will also establish standards, guide architecture transitions, and collaborate across squads.

Build and administer secure, scalable Databricks environments on AWS. Responsibilities include configuring Unity Catalog and governance controls, designing VPC and PrivateLink network architectures, managing IAM and access models, developing production data pipelines, implementing Terraform infrastructure as code, establishing CI/CD deployments, and enforcing cluster policies and platform standards.