Top AWS Jobs in Melbourne

Develop and deploy AI, generative AI, machine learning, and data science solutions for consulting clients. Responsibilities include building RAG pipelines, AI agents, LLM applications, predictive models, deep learning systems, optimization solutions, and big-data applications. The role also involves model evaluation, AI observability, governance, research, and collaboration with architects, engineers, data scientists, and clients.

Detect and respond to security incidents across GitLab’s 24/7 global rotation, managing events from detection through recovery. Maintain incident response runbooks, conduct root-cause and lessons-learned reviews, automate security processes, improve detection capabilities, investigate cloud threats and infected hosts, and collaborate across teams on security projects and tooling.

Lead a specialist data science chapter delivering production-grade machine learning, generative AI, and agentic AI solutions. Drive architecture, experimentation, evaluation, deployment, monitoring, responsible AI, and model governance in a regulated environment. Partner with engineering, MLOps, risk, architecture, and business teams while coaching data scientists and advancing technical excellence across fraud and scam prevention initiatives.

Designs, automates, and operates corporate identity, endpoint, workplace, cloud, network, and enterprise AI infrastructure. Owns Okta administration, identity lifecycle automation, Jamf Pro and macOS fleet management, infrastructure-as-code, observability, incident escalation, root-cause analysis, security, and reliability improvements. Provides senior technical support, documents recovery procedures, mentors colleagues, and governs enterprise AI platforms and integrations.

Leads hands-on engineering for AI-enabled operational risk platforms using .NET, Python, AWS, microservices, APIs, and agentic AI. Designs scalable architectures, writes production code, mentors engineers, establishes CI/CD and GitOps practices, and improves testing, observability, reliability, security, and compliance. Partners with product, data science, and platform teams to evolve MVP solutions into enterprise-grade systems while integrating event streams and producer-led data products.

Designs and operates identity and access controls across AWS, GCP, and Azure. Builds Terraform modules, policy guardrails, automation, and internal tooling to enable secure cloud access at scale. Leads technical design discussions, improves reliability, establishes IAM performance metrics, closes identity gaps, and mentors engineers. Collaborates with platform, security, and product teams to integrate secure-by-default controls and improve developer experience.

Own AWS infrastructure, DevSecOps, CI/CD, observability, security, and platform reliability while contributing to backend product development. Build and operate services using Lambda, DynamoDB, ECS Fargate, EventBridge, and Aurora PostgreSQL. Establish infrastructure standards, manage incidents, improve reliability and performance, and provide technical direction autonomously within a fully remote Australian engineering team.

Lead the operation, maintenance, security, optimization, and lifecycle management of large-scale AWS cloud platforms. Serve as the primary escalation point for incidents, manage identity and access controls, improve reliability and cost efficiency, and evolve cloud architectures. Lead and mentor cloud engineering teams, oversee upgrades and patching, apply ITIL and FinOps practices, manage vendor escalations, and build trusted client relationships.

Design, build, and maintain secure AWS cloud platforms and infrastructure. Develop CI/CD pipelines, automate provisioning and configuration, deploy containerized applications with Kubernetes, Docker, and OpenShift, and implement monitoring and logging with ELK. Troubleshoot production incidents, improve reliability and security, document procedures, and provide managed-services support through shifts, on-call coverage, and after-hours deployments.

Leads multiple software engineering squads building highly scalable crypto and fiat payment, wallet, and transaction-processing systems. Responsibilities include setting technical and strategic direction, mentoring engineers and tech leads, reviewing designs and code, supporting critical incidents, improving delivery practices, and ensuring reliability and operational excellence across large-scale production platforms.

Design, develop, and optimize Salesforce Commerce Cloud eCommerce solutions, including storefronts, cartridges, integrations, APIs, and composable commerce architectures. Build agentic commerce capabilities involving AI agents and LLM-driven experiences. Collaborate with cross-functional teams, optimize performance and SEO, manage CI/CD practices, troubleshoot production issues, and advise stakeholders on emerging commerce technologies.

Manage and support a distributed Splunk platform hosted on AWS, including search head and indexer clusters, forwarders, deployment components, ingestion, parsing, storage, access controls, upgrades, migrations, patching, and troubleshooting. Support AWS infrastructure and S3/Glacier archival, manage incidents and changes, perform root-cause analysis, document operations, and collaborate with security, cloud, infrastructure, application, and vendor teams.

Owns Splunk data onboarding, normalization, parsing, field extraction, TA deployment, and data quality across hybrid on-premises and cloud environments. Configures and troubleshoots ingestion pipelines, CIM alignment, indexes, sourcetypes, timestamps, and data models. Supports Splunk Enterprise Security, dashboards, correlation searches, and reporting while monitoring pipeline health, performance, governance, and reliability. Partners with Security and IT teams to define requirements, validate log sources, maintain deployment processes, and document operational standards.

Lead a squad of 3–5 engineers while remaining hands-on with full-stack development, architecture, coding, code reviews, reliability, and production delivery. Partner with Product and Design to build secure, scalable home lending platforms. Own the software lifecycle, promote CI/CD, DevOps, observability, automated testing, AI-assisted development, and continuous improvement. Influence engineering strategy, technical standards, platform sustainability, and capability uplift across the broader engineering organization.

Lead the design, development, support, and integration of enterprise applications and platforms. Provide technical leadership, architecture input, code reviews, troubleshooting, mentoring, stakeholder engagement, and release management. Develop APIs and integrations across Boomi, SAP, ServiceNow, SuccessFactors, EC Payroll, and internal systems while improving performance, security, scalability, and business processes.

Own Level 2 support and technical delivery for a critical production platform. Responsibilities include incident and problem management, production changes, vendor coordination, AWS and Azure cloud engineering, Infrastructure as Code, CI/CD automation, container support, monitoring, observability, documentation, and participation in a mandatory shared 24x7 on-call rotation.

Lead modern Data & Analytics engagements from discovery through delivery while designing scalable cloud data solutions. Manage delivery teams, mentor consultants, advise senior client stakeholders, shape technical proposals, and contribute to consulting methodologies. The role requires hands-on expertise across data engineering, architecture, warehousing, integration, cloud platforms, dbt, ETL/ELT, BI, and technical project leadership.

Own and evolve multi-account AWS infrastructure using Terraform, build CI/CD platforms with GitHub Actions, and develop secure engineering standards. Responsibilities include cloud security, compliance automation for SOC 2 and ISO 27001, observability, reliability engineering, incident response, infrastructure reviews, mentoring, and cross-functional collaboration. The role requires on-call participation and occasional out-of-hours maintenance.

Build internal tooling and platform improvements for database reliability. Split time between software engineering and database operations: monitoring, observability, performance tuning, incident response, migration to RDS/Postgres, and automating fleet management to improve resilience and developer efficiency.

Lead the evolution of customer onboarding and data conversion through AI, automation, AWS cloud services, and data intelligence. The role designs scalable automation, improves data quality, optimizes platforms and pipelines, develops predictive capabilities, and partners cross-functionally to reduce migration risk and improve customer outcomes.

Provides Level 2/3 end-user computing support across servers, cloud platforms, Microsoft 365, networking, operating systems, applications, and monitoring environments. Handles incidents, break/fix repairs, device replacement, data backup and restoration, standard PC imaging, printer and scanner support, proxy and browsing issues, vendor coordination, and disaster recovery or business continuity activities.

Build and maintain reliable, scalable, and secure cloud platforms and tools. Apply site reliability engineering practices, write maintainable code, troubleshoot distributed cloud-native systems, and collaborate with engineering teams on service reliability. Maintain documentation, support self-service capabilities, and participate in on-call rotations and incident response while developing skills under senior engineers.

Develop and grow an assigned enterprise territory through prospecting, pipeline development, account expansion, customer engagement, proposal creation, and opportunity closing. The role involves selling data security and resilience solutions to cybersecurity and information security teams, collaborating with channel partners and technology alliances, maintaining forecasts, and sharing customer insights. Candidates should understand enterprise technology, data protection, and cybersecurity while communicating effectively and using AI tools to improve sales productivity.

Owns the organization-wide information security program across cloud platforms, digital products, payment systems, identity infrastructure, and franchise restaurants. Responsibilities include security risk assessments, security tooling, fraud management, SIEM detection, incident response, breach notifications, PCI DSS compliance, penetration testing, security awareness, third-party assessments, and AI security. Leads a small team and shared on-call response while partnering with executives, Legal, engineering, and franchise stakeholders.

Lead the design, development, integration, and support of SailPoint IdentityIQ solutions across a large enterprise. Build identity and application integrations, automate onboarding, guide identity engineers, analyze requirements, and ensure traceability across design, testing, and delivery. The role focuses on identity governance, access management, security uplift, cloud and directory integrations, and reliable production outcomes while partnering with stakeholders and engineering teams.