Top AWS Jobs in Melbourne

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.

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.

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.

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.

Develop and maintain enterprise-grade C# and .NET applications, RESTful APIs, event-driven microservices, and distributed systems on AWS. Design PostgreSQL schemas, optimize queries, and support high-volume workloads across the full software development lifecycle. Collaborate with product owners and architects while meeting compliance, security, resiliency, and service-level requirements. Use and evaluate AI-assisted development tools responsibly for coding, testing, refactoring, documentation, and automation.

Lead development of full-stack customer-facing features and refactor monolithic systems using React, Redux, C#, ASP.NET Core, and SQL Server. Drive architecture improvements on AWS, integrate AI-assisted tools and automated agents, participate in on-call incident response, and mentor engineers while promoting CI/CD and TDD practices.

Lead end-to-end security incident response across GitLab’s cloud and corporate environments in the APAC region. Investigate complex incidents using DFIR methods, develop SIEM and detection capabilities, build automation and AI-assisted workflows, conduct root cause analysis, maintain response documentation, coordinate executive communications, and mentor engineers within a global 24/7 SIRT.

Design, build, and operate an internal AI skills marketplace and distribution platform. Own end-to-end delivery from experimentation to production, create runbooks, monitoring, rollback plans, and provide guidance on authoring agent skills while collaborating with vendors and engineering teams.

Lead enterprise Data and AI transformation engagements using Databricks across AWS and Azure. Define data strategies, roadmaps, governance frameworks, and modern Lakehouse architectures. Design AI-enabled data products using Mosaic AI, GenAI, RAG, Vector Search, MLflow, and agentic AI. Advise executive stakeholders, facilitate architecture workshops, support solution pursuits, and develop reusable architecture patterns for the Data and AI practice.

Leads cyber governance, risk, and compliance activities across products, platforms, and initiatives. Designs GRC frameworks, coordinates control assurance, audits, remediation, regulatory compliance, third-party assessments, and risk reporting. Advises product and engineering teams on secure-by-design practices, supports incident preparedness, maintains risk and control registers, and drives security culture, automation, and continuous improvement.

Provides hands-on technical leadership for secure, scalable full-stack software supporting economic crime investigations. Responsibilities include solution design, frontend and backend development, APIs, microservices, distributed systems, cloud-native architecture, containerization, infrastructure as code, CI/CD, automated testing, observability, DevSecOps, production troubleshooting, technical reviews, and mentoring engineers across multiple teams.

Lead the strategy, architecture, and engineering of AWS-based data and model platforms supporting credit risk and capital provisioning. Build scalable data pipelines, model deployment and orchestration frameworks, monitoring, governance, lineage, and auditability. Drive legacy platform migration, productionize ML workloads, ensure regulatory controls and data integrity, influence cross-team technical decisions, improve engineering standards, and mentor engineers.

Designs and delivers cloud-based workflow platforms and microservices using Java, APIs, AWS, and related technologies. Provides software and API architecture leadership, technical oversight, security controls, DevOps automation, CI/CD, monitoring, and solution governance. Leads engineers, mentors team members, translates strategic initiatives into delivery plans, influences stakeholders, and supports Agile development. Experience with Pega or Appian workflow environments, data architecture, AI lifecycle concepts, and cloud-native integrations is valuable.

Leads a customer success team of cloud solution architects driving AI and cloud transformation with Microsoft technologies. Develops customer roadmaps, accelerates Copilot and Power Platform adoption, delivers measurable business value, manages executive relationships, resolves technical and business blockers, and improves retention and expansion. Oversees people managers, develops talent, shapes cloud and AI methodologies, and provides technical thought leadership on secure, resilient, AI-enabled architectures.

Leads Zelora’s technology landscape, solution architecture, software delivery, AI implementation, and technology governance. Provides technical leadership to internal teams and external partners, establishes engineering standards, designs secure and scalable architectures across applications, integrations, cloud, and data platforms, and translates business needs into practical solutions. Drives AI-enabled automation, secure-by-design practices, continuous improvement, vendor oversight, and alignment with security, privacy, compliance, and business strategy.

Lead and modernize Finance & Risk technology platforms, ensuring resilience, secure engineering practices, and compliance with regulatory standards. Drive strategic architecture and improvements in system reliability and data integrity.

Leads the design, operation, security, reliability, and continuous improvement of enterprise server, hosting, datacentre, edge, and Azure/AWS infrastructure. Manages a team of 10+ engineers, provides technical direction, oversees implementations and Level 3 incident resolution, drives automation and resilience, and contributes to infrastructure strategy, roadmaps, budgets, compliance, disaster recovery, and vendor management across a large multi-site environment.

Owns CyberCX’s AWS, Azure, and Google Cloud Marketplace programs. The role enables sales teams, develops bundled SaaS and professional services offers, advises customers on marketplace procurement, manages marketplace opportunity pipelines and forecasts, facilitates cloud-provider co-selling, and grows private offer, new-sales, renewal, and ISV revenue streams. Candidates need at least two years of AWS or Azure Marketplace experience, strong marketplace sales knowledge, and preferably reseller experience.

Senior software engineer on a Level 3 escalation team, investigating complex product issues, resolving defects, building support automation, and improving application reliability. The role involves Python and PHP development, JavaScript/Vue.js work, production monitoring, root-cause analysis, automated testing, and collaboration with Support, Product, and Engineering. It also includes mentoring support specialists, technical leadership, code reviews, and participation in an on-call rotation.

Provides technical leadership for secure, resilient cloud-native content platforms. Responsibilities include designing and operating AWS and Kubernetes solutions, developing software and automation, integrating AI capabilities, improving CI/CD and infrastructure-as-code practices, embedding testing and observability, strengthening reliability and disaster recovery, and mentoring engineers. The role supports the migration and ongoing enhancement of OpenText document retention and archiving services.

Lead a data science chapter developing and scaling machine learning, Generative AI, and agentic AI solutions for fraud and scams. Guide technical direction, architecture, experimentation, evaluation, deployment, monitoring, responsible AI, and model governance. Partner with product, engineering, MLOps, risk, and business teams while coaching data scientists and strengthening delivery practices in a regulated environment.

Designs and maintains enterprise endpoint environments and desktop standard operating environments. Provides architectural guidance, escalation support, mentoring, customer consulting, and continuous improvement across endpoint management, Windows deployment, security, VDI, cloud, and hybrid infrastructure. The role requires strong stakeholder, communication, planning, budget, and vendor-management skills, along with eligibility for Australian Government Baseline clearance.

Own the Vision Weigh computer vision product from prototype to reliable commercial-farm deployment. Responsibilities include developing and deploying models, edge-compute optimization, depth sensing and calibration, ground-truth data collection, experiment tracking, dataset versioning, testing, and retraining. The role requires hands-on work with real-world animal imagery, hardware constraints, and iterative product development across data, software, firmware, hardware, and product teams.

Design, scale, and optimise AWS cloud infrastructure supporting a global IoT platform. Responsibilities include database performance tuning, Infrastructure as Code, CI/CD automation, monitoring, incident response, multi-region architecture, and resolving performance and reliability challenges in production environments.