Top AWS Jobs in Melbourne

Lead design and implementation of large-scale distributed production systems powering generative AI features. Own architecture, mentor engineers, manage technical debt, operationalize ML/LLM models, and collaborate with scientists to productionize research using Python, SQL, Spark/Dask, AWS, and Kubernetes.

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.

Design, implement, and maintain secure CI/CD and MLOps pipelines for AI/ML systems. Integrate security across model development, training, and deployment; run vulnerability assessments; implement monitoring; ensure compliance with security and privacy standards while collaborating with data scientists and IT teams.

Develop and enhance embedded finance capabilities within financial services products. Collaborate with developers, product and UX to deliver high-quality software, drive DevOps and CI/CD practices, work with cloud platforms and containerisation, and support knowledge sharing across the tech community in an Agile environment.

BAU-focused Senior CloudOps Engineer providing L3 support and technical escalation for complex AWS environments integrated with Microsoft ecosystems. Lead incident response, root cause analysis, automation and IaC (Terraform/CloudFormation), monitoring, performance, security and cost optimisation. Support Windows workloads in AWS, deliver occasional project work, and participate in rostered 24x7 on-call support.

Design, implement and maintain secure, high-quality Android and cross-platform mobile applications using Kotlin/KMP. Contribute to architecture, CI/CD, automated testing, monitoring, incident response, refactoring, and engineering best practices within an Agile team.

Provide technical leadership to design, build and evolve secure, scalable platform capabilities. Mentor engineers, drive automation, CI/CD, IaC, observability, developer experience, and partner with product, security and governance to deliver reliable data and platform services.

Lead design and delivery of integration solutions connecting customer, tolling, billing, and digital platforms. Translate architecture into execution-ready designs, guide teams on integration patterns (APIs, event-driven), promote AWS, microservices, Java best practices, and support operational readiness, CI/CD, and secure payment integrations while collaborating with architects, delivery teams, and stakeholders.

Design, build and maintain data pipelines, models and APIs across ingestion, transformation and consumption. Lead technical design and architecture, resolve data quality and performance issues, support production with monitoring and automation, and mentor engineers. Work with Airflow/Breeze, BigQuery, Kafka, TypeScript/Node or Python, and cloud/DevOps tooling to deliver reliable, scalable property data platforms and APIs.

Design and deliver scalable multi-cloud data solutions using Databricks/Snowflake and modern data stacks. Build ingestion, transformation, modelling and access layers, implement dbt and CI/CD, ensure data quality, governance and lineage, support analytics and AI enablement, and consult directly with clients while mentoring junior engineers.

As a Forward Deployed Engineer, you will design and implement integrations for healthcare systems, collaborate with technical stakeholders, and ensure production-grade code delivery, enhancing customer solutions.

The Data Architect will design and implement enterprise data solutions, optimize data models, lead governance initiatives, and engage with clients to create robust data platforms.

Lead multiple engineering squads to modernise payment reporting platforms through cloud-native, event-driven architectures, AI-assisted delivery and real-time data processing. Shape technical strategy, uplift engineering excellence, partner with product and risk teams, and build high-performing distributed teams across Australia and India.

Respond to and resolve complex security incidents, perform root-cause analysis, build detections and automation, monitor third-party suppliers, conduct audits, correlate data from CND tools, and coordinate cross-functional and executive communications to improve security posture.

Internship role supporting development, optimization, and deployment of computer vision models. Write Python code with PyTorch/TensorFlow, integrate vision solutions, run experiments, participate in code reviews and agile processes, and collaborate across engineering, product, and data teams to build prototypes and production features.

Build and ship full-stack features for the Learning Portal (Next.js UI, Go services, Supabase edge functions). Design scalable systems and infrastructure (IaC with SST/Pulumi, AWS, Vercel), implement testing (Vitest/Jest, Cypress/Playwright), perform PR reviews, maintain docs, run CI/CD, and be on-call to ensure reliable student-facing experiences.

Lead a mobile engineering team to design, deliver, and maintain large-scale mobile applications. Provide technical direction, mentor engineers, select stacks and tools, manage timelines and stakeholder communication, and ensure compliance, security, and integration with broader systems. Advocate engineering best practices and contribute to knowledge-sharing activities.

Lead people analytics initiatives using data science, ML and Generative AI to solve workforce problems. Design, build and deploy explainable, scalable AI/ML solutions; analyze large HR datasets; embed responsible AI and privacy practices; translate results into executive insights and dashboards; collaborate with engineering, MLOps and governance teams and mentor colleagues.

Own the Internal Developer Platform (IDP) product strategy and roadmap, engage engineering leaders to drive adoption, translate developer needs into product requirements, and champion end-to-end developer experience across cloud, CI/CD, observability, security, and Kubernetes domains.

Lead architecture, design, and delivery of scalable, secure backend and data-processing services on Kubernetes/AWS. Drive cross-team technical strategy, multi-tenant migrations, SLIs/SLOs, security, testing, telemetry, and mentor senior engineers while representing the team to executives and customers.

The Infrastructure Support Senior Analyst provides L2/L3 support for client environments, leads a team, manages incidents, and ensures infrastructure performance and availability.

The role involves developing and maintaining internal production applications using Databricks to optimize processes and deliver products effectively. It requires technical solutions development, legacy system support, and ongoing process improvements based on project management collaboration.

Design, develop, and maintain conceptual, logical, and physical enterprise data models. Collaborate with stakeholders to gather requirements, create data dictionaries, metadata, and lineage. Support data integration, ETL/ELT, warehousing, dimensional modelling, cloud analytics, data quality, and governance while working with architects, engineers, and Agile teams.

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.

Provide first-response infrastructure support for cloud-based services: monitor operations, automate runbooks and alerts, respond to incidents, assist development teams in resolution and RCA, and implement reliability improvements via infrastructure and observability code.