Top AWS Jobs in Melbourne

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.

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.

Build and secure Overflow's cloud platform: manage containerized AWS infrastructure (ECS Fargate), automate CI/CD with GitHub Actions, embed automated security testing, implement observability, and support SOC 2 and PCI-DSS compliance.

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.

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.

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.

Develop and optimize backend architecture for a multi-brain AI trading system. Design and implement AI/ML models and workflows, integrate blockchain and smart contracts, build and maintain APIs, databases, and cloud infrastructure, perform code review, testing, debugging and performance optimization, and ensure security, data integrity, and production readiness.

Act as Tier 2 escalation for complex software issues across microservices, APIs, containers, and integrations. Troubleshoot deployments and OS issues, build and optimize automations (Superblocks, n8n, Tines, webhooks, Zendesk), analyze ticket trends, document runbooks, and collaborate with Engineering to surface and resolve product bugs.

The Senior Data Engineer will engineer and improve enterprise-scale data platforms on AWS, design and build end-to-end data pipelines, and optimize data processing solutions using Apache Spark and Python. Responsibilities include data governance, compliance controls, and collaboration with cross-functional teams to support analytics and data integration needs.

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.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

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.

Lead backend-focused full-stack development: design, build, test and deploy scalable APIs on AWS, own projects end-to-end, resolve production issues, document systems, and mentor junior engineers.

Build and maintain full-stack features for customer and internal web apps, design backend APIs for onboarding and transactions, integrate third-party services, implement OAuth2 authentication, operate in a microservices AWS environment, ensure security, performance, observability, participate in code reviews and architecture, and write technical documentation.

Hands-on Puppet consultant role to design, implement, and maintain Puppet manifests/modules and infrastructure-as-code. Perform Linux/Unix system administration, scripting, CI/CD integration, troubleshooting, documentation, monitoring, and mentor team members while collaborating with DevOps and consulting teams.

Lead administration and support of corporate Microsoft infrastructure, VDI/RDS access platforms, virtualization, storage, backups, and cloud services. Perform AD domain/forest migrations, replace legacy VDI and load‑balancing stacks, maintain documentation, resolve incidents to SLA, participate in projects and on‑call rotation, and collaborate with NOC, InfoSec, DevOps, and L2 teams.

Design, build, and operate scalable, highly available Threat Protection and ShadowAI services. Own features end-to-end, implement detections and policies for generative AI and web threats, maintain tests and SLOs, use AI-assisted tooling responsibly, and collaborate with product, security, and ops to deliver reliable, secure production services.

Design, build and scale production-ready AI capabilities and applications using Python and modern cloud tech. Collaborate with cross-functional teams to deliver secure, observable, and responsible AI solutions, mentor engineers, drive architecture decisions, and ensure operational excellence across AI platforms.

Design and implement SDLC observability pipelines using tool APIs to collect, aggregate, and visualize engineering and quality metrics. Build self-service dashboards for Engineering Managers, define and automate Key Quality Indicators, analyze SDLC friction, and embed quality best practices across teams. Partner with Quality and Engineering leadership to drive process maturity and enable data-driven decision-making.