Top AWS Jobs in Sydney

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.

Operate and scale the NG-SIEM Serverless Cell Platform: monitor and maintain LogScale cells, respond to incidents/on-call, perform upgrades, capacity planning, build automation and Go microservices to enable self-healing, and collaborate with product and support teams.

Supports sales opportunities from qualification through close by gathering customer networking requirements, contributing to technical solution design, adapting solutions, advising on products, preparing proposals and presentations, and maintaining customer and partner relationships. The role is intended for recent computer science, software engineering, or network engineering graduates with knowledge of networking, cloud computing, AI, machine learning, data analytics, sustainability, and data center infrastructure.

Supports technical sales opportunities from qualification through close by understanding customer networking needs, developing solution designs, advising on products, preparing proposals and presentations, communicating with customers and partners, and coordinating technical resources. Requires a recent computer science or engineering graduate with networking, cloud, AI, analytics, and data center knowledge, strong communication skills, analytical ability, and an interest in technology sales.

Provides technical support for technology partners and mutual customers using MongoDB and related systems. Responsibilities include troubleshooting application, database, storage, networking, and cloud issues; guiding solution integrations; coordinating multi-vendor escalations; onboarding partners; documenting architectures and known issues; and reducing interoperability risks. The role also develops partner knowledge bases, communicates best practices, supports releases, and becomes a technical specialist capable of handling advanced diagnostics and escalations independently.

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.

Owns strategic enterprise accounts in Australia’s financial services sector, developing executive relationships, creating expansion opportunities, and driving complex SaaS sales cycles. Responsibilities include account planning, pipeline generation, forecasting, territory strategy, executive engagement, and positioning Dynatrace across observability, cloud modernization, security, AI, automation, and digital experience initiatives. The role requires collaboration with technical, customer success, professional services, marketing, partner, and executive teams.

Design, develop, and own scalable big data and software solutions for Atlassian’s internal data platform. Collaborate with engineers and architects to ship features, uphold coding standards, and improve security, reliability, availability, performance, and operational excellence. Build and deploy services using distributed systems, cloud platforms, and big data technologies while applying data-driven problem solving.

Provides technical leadership for Atlassian’s Growth Monetization organization. Owns long-term architecture and technical evolution of distributed services, customer experiences, and experimentation platforms. Defines cross-team roadmaps, leads architectural initiatives and experimentation strategies, and ensures operational excellence across performance, reliability, observability, data safety, and security. The role includes hands-on incident and problem-solving leadership, technical reviews, mentoring senior and principal engineers, and driving product and engineering strategy across multiple teams.

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 deploy production software and configurations within a strategic customer’s engineering organization using Cloudflare’s platform. Own technical success, participate in engineering rituals and incident response, drive platform adoption, influence product direction, and maintain relationships with senior technical leaders. The role requires broad full-stack and cloud expertise, operational maturity, systems-design ability, and regular on-site customer collaboration.

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.

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.

Build and deploy customer-facing AI-powered solutions for LogicMonitor Edwin AI. Develop backend services, integrations, automations, and lightweight frontend experiences using Python, Java, JavaScript, TypeScript, and React. Implement APIs, telemetry pipelines, dashboards, cloud deployments, and observability workflows. Support prototypes, production rollouts, troubleshooting, and customer adoption while contributing reusable engineering patterns and product feedback.

Develops and executes cloud and systems integrator partner strategies across Australia. Recruits and nurtures strategic partnerships, generates sales pipelines, supports enterprise deal closure, and expands partner sales, presales, delivery capabilities, and certifications. Collaborates with sales, marketing, enablement, customer success, and solutions consulting teams to drive bookings and revenue growth. Requires strong enterprise technology sales, strategic thinking, complex deal management, and partner relationship-building skills.

Provides advanced technical support for Ping Identity products, troubleshooting customer issues across enterprise operating systems, Java environments, web servers, cloud platforms, and networking infrastructure. Manages escalations, phone support, alerts, weekend queue operations, issue reproduction, documentation, and cross-functional collaboration with Engineering, SRE, Product, and Customer Success teams. The role follows security and quality compliance processes while delivering timely, customer-focused resolutions in a global follow-the-sun support model.

Maintain, optimize, and scale hybrid-cloud infrastructure with a focus on Amazon EKS and Kubernetes platform engineering. Build CI/CD pipelines, automate deployments using Python, Bash, or Go, and implement observability, security, disaster recovery, and cost optimization practices. Collaborate with development teams to improve reliability, performance, and operational efficiency while supporting incident response and on-call operations.

Leads and manages an analytics engineering team while setting organization-wide standards for data modeling, governance, observability, and self-service analytics. Designs scalable dbt and Databricks data models, semantic layers, data contracts, and reliable data products integrated with Tableau. Drives CI/CD, automated testing, documentation, pipeline performance, data quality, and cross-functional alignment across engineering, analytics, commercial, product, and data science teams.

Senior Technical Business Analyst responsible for translating business requirements into scalable AWS data solutions. The role covers technical specifications, data modeling, integration mappings, cloud data pipelines, migration, dashboards, testing, configuration, governance, and impact analysis. It bridges business and technical teams while supporting data platforms using AWS services, SQL, Java, APIs, microservices, and streaming technologies.

Build and maintain data ingestion pipelines and data products using AWS services. Collaborate with business data owners to curate core data assets, create reports, dashboards, files, and APIs, and establish data engineering standards. Design scalable, automated pipelines for critical market infrastructure, using streaming, data modeling, DevSecOps, and infrastructure-as-code practices. Support centralized data platforms, data governance, and domain-aligned data products.

Principal Platform Engineer responsible for architecting AWS platforms, internal developer tooling, CI/CD automation, infrastructure as code, and AI/ML infrastructure. The role drives platform strategy, security, reliability, scalability, cost optimization, and developer productivity while influencing technical direction and mentoring engineers. Experience with AWS, Terraform, CloudFormation, GitLab, programming, developer portals, cloud security, and LLM platforms is expected. A valid NV1 clearance or ability to obtain one is required.

Leads the design, delivery, and evolution of Qantas’ enterprise data platforms. The role establishes technical strategy, architecture, engineering standards, governance, observability, data quality, FinOps, and production-readiness practices. It partners with business and technical stakeholders, guides cloud-based data solutions, leads enterprise initiatives, manages integration approaches, mentors engineers, and drives continuous improvement across the data engineering community.

Design, build, and maintain scalable software for Domain’s commercial real estate platform. The role involves developing production-grade applications and services, contributing to architecture and technical direction, improving performance and reliability, delivering tested features, and mentoring engineers. The engineer will collaborate with Product, Design, and Engineering teams while working primarily with .NET/C#, AWS, React, Next.js, TypeScript, relational databases, and distributed systems.