Top AWS Jobs in Sydney

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.

Leads quota-carrying professional services sales for MongoDB, partnering with sales, consulting, delivery, and customer success teams. Scopes and closes transformation projects, develops statements of work, manages pipeline and revenue forecasts, communicates services value, transitions projects to delivery, and mentors team members. Requires enterprise technology sales experience, database and software architecture knowledge, project scoping skills, strong presentations, and travel for key engagements.

Lead technical pre-sales engagements by designing scalable MongoDB-based architectures, advising customers, conducting technical discovery, demonstrations, proofs of value, sizing, and presentations. Partner with sales teams on account strategy, pipeline generation, and demand creation while fostering customer success. Mentor team members, communicate product value to technical and business stakeholders, and support cloud, modernization, DevOps, database, and AI architecture initiatives.

Owns cloud cost and usage analysis across AWS and GCP, identifying optimization opportunities, supporting allocation and chargeback, building financial models, reports, and dashboards, and validating savings. The role partners with engineering, finance, and cloud vendors on pricing and billing, develops cost-efficiency standards, trains engineers, documents processes, and mentors junior analysts.

Build backend services and financial workflows connecting cash, yield, lending, payments, card spending, and collections. Develop reliable infrastructure, reconciliation controls, ledgers, APIs, integrations, automated tests, observability, and production services. Collaborate with product, infrastructure, design, and engineering teams to deliver scalable, maintainable financial systems from design through production. The role is based in Sydney and involves shaping the technical foundations of a new business accounts platform.

Build backend systems for Airwallex’s Business Accounts and Yield products. Own investment workflows including signup, investment, and redemption, while developing reconciliation controls, unit registries, and investment ledgers. Shape distributed-systems architecture, APIs, integrations, observability, and automated testing. Collaborate with Product, Infrastructure, Design, and external investment providers to deliver reliable financial infrastructure. This role is based in the Sydney office three days per week.

Generate qualified sales pipeline through outbound prospecting across strategic accounts. Research organizations, conduct discovery conversations, apply MEDDIC qualification, maintain accurate Salesforce records, support early deal progression, and collaborate with Account Executives. The role includes structured onboarding, technical and sales training, coaching, and a defined path toward Account Executive and other revenue positions.

Owns the technical relationship for strategic enterprise customers, driving Dynatrace adoption, platform health, success planning, optimization, executive engagement, case escalation, change-window support, and long-term value. Advises on observability architecture, cloud-native environments, upgrades, migrations, ITSM and CMDB integrations, and governance. Coordinates cross-functional teams, manages risks and recovery plans, leads QBRs, and advocates for customer enhancement requests.

Designs and builds automation, detections, integrations, and cloud-native tooling for internal incident response and security operations. Partners with CSIRT and incident response teams to automate investigations, improve detection fidelity, reduce false positives, operationalize threat intelligence, and develop scalable response capabilities. The role requires software engineering, DevOps, cloud, infrastructure-as-code, security telemetry, and hands-on cybersecurity incident response experience.

Lead complex, multi-host intrusion investigations across endpoint, identity, and SIEM telemetry. Perform malware analysis, threat research, detection engineering, automation, and agentic workflow development. Own SOC quality, review analyst and AI output, improve detection and remediation, mentor analysts, and advise on SOC direction. Collaborate with Product, Engineering, and Threat Hunting while communicating technical risks to diverse audiences and publishing security research.

Lead global corporate and cloud network architecture and roadmap. Design, deploy and operate secure, highly available hybrid LAN/WAN/Wi‑Fi/VPN across multi‑cloud and multi‑region sites. Own incident response, vendor hardware configuration, international connectivity (including China), infrastructure-as-code automation, documentation, mentoring, and participate in global on‑call rotations.

Senior Customer Success Engineer responsible for advising enterprise customers, troubleshooting Dynatrace configurations and integrations, driving product deployment and adoption, supporting renewals and expansion, conducting technical demonstrations and training, and coordinating with Support, Product, R&D, and account teams. The role also mentors other engineers, contributes to success plans, and communicates recommendations to executive stakeholders.

Lead and resolve billing, usage metering, and cloud cost escalations by diagnosing metering discrepancies, usage spikes, billing anomalies, and quota enforcement. Collaborate with Product, Engineering, and Finance to escalate bugs and improve visibility; create tooling, playbooks, and training to enable global teams; communicate cost impact to stakeholders and surface customer feedback to influence product roadmap.

Build scalable backend and frontend services for MongoDB’s application modernization platform. Develop APIs, data pipelines, code analysis tools, dependency graphs, and schema recommendation features. Collaborate with product, engineering, and design teams; contribute to architecture, testing, CI/CD, code reviews, troubleshooting, and technical documentation. Senior engineers will mentor teammates, lead complex feature design, and support recruiting and interviewing.

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.

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.

Lead complex backend engineering initiatives from technical design through launch. Design architectures, deliver solutions used across teams and products, resolve high-risk issues, establish code review and documentation standards, and influence company-wide technical decisions. Mentor engineers, evaluate performance and reliability trade-offs, and contribute to developer experience and productivity using modern cloud platforms, multiple programming languages, and CI/CD practices.

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.

Deploys, configures, optimizes, and supports CrowdStrike Falcon’s AI-powered detection and response capabilities. The role develops automation playbooks and API integrations, tunes machine-learning detection models, troubleshoots customer issues, supports threat hunting and forensic analysis, integrates security workflows, and leads AI workshops. It also requires customer engagement, technical presentations, project prioritization, cross-functional leadership, and mentoring while applying cybersecurity, AI/ML, and platform deployment expertise.

Provides strategic and technical leadership for data science and AI across retail merchandising. Designs and scales forecasting, optimization, causal inference, clustering, and agentic AI solutions for pricing, promotions, range, and space decisions. Leads model development, deployment, monitoring, experimentation, stakeholder communication, and cross-functional delivery while ensuring production readiness and measurable commercial impact.

Designs scalable architectures for consumer-facing health websites, mobile apps, virtual care channels, and partner integrations. Defines API, event-driven, messaging, and health-standard integration patterns; evaluates vendors; contributes to security, privacy, and clinical safety assessments; maintains reference architectures and design patterns; documents decisions; and coaches delivery teams across multiple initiatives.

Lead Canva’s Production Engineering practice at principal level by defining the engagement model, owning complex distributed-systems reliability work, setting technical standards, mentoring engineers, influencing product and infrastructure teams, and establishing reliability metrics. The role requires hands-on software engineering across Linux, JVM or systems technologies, Kubernetes, AWS, observability, performance analysis, incident response, sharding, replication, and multi-region architectures.

Own reliability for Canva’s highest-risk systems by writing production software, improving distributed systems, debugging large codebases, and reducing incidents, latency, and operational toil. The role involves embedded collaboration with product teams, platform contributions, observability, performance analysis, Kubernetes, AWS, Linux internals, networking, and incident response at significant scale.

Designs and leads production AI systems for clients, including agentic workflows, LLM integrations, RAG, document AI, knowledge pipelines, evaluation, observability, security, and compliance. The role remains hands-on with prototyping and implementation while guiding architecture, platform and vendor decisions. It also involves client consulting, proposals, technical leadership, mentoring, reference architecture development, and building reusable AI frameworks for regulated environments.

Serves as the highest technical escalation point for enterprise customers, diagnosing complex issues across integrations, workflows, APIs, identity systems, and customer environments. Reproduces and triages bugs, partners with Engineering and Product, improves escalation processes, strengthens documentation, and supports customer-facing teams. Uses logs, observability tools, payloads, and debugging utilities to resolve issues and identify systemic improvements.