Top AWS Jobs in Sydney

Build backend services and financial infrastructure connecting Airwallex business products, including cash, yield, lending, payments, and collections. Develop reliable financial workflows, reconciliation controls, ledgers, integrations, APIs, observability, and automated tests. Collaborate with Product, Infrastructure, Design, and engineering teams to deliver maintainable services from design through production while shaping the foundations of a new business accounts platform.

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.

Design, build, and maintain frontend products, platform services, infrastructure, microservices, libraries, tools, and applications powering Atlassian Cloud. Develop scalable, low-latency systems using modern web architectures and distributed systems principles. Implement, integrate, tune, test, and troubleshoot software while collaborating with designers and engineers in an agile environment to improve user experiences.

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.

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.

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.

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.

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.

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.

Leads ANZ field marketing strategy and execution, including demand generation, digital campaigns, marketing events, partner programs, and cross-functional initiatives. Manages and mentors a small team while aligning regional programs with go-to-market plans. Owns performance measurement through MQLs, pipeline, opportunities, and pipe-to-spend metrics, optimizing campaigns to drive business growth.

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.

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.

Monitors, triages, investigates, and responds to physical and cyber security alerts within a Security Operations Center. Uses SIEM, firewalls, IDS/IPS, DLP, malware detection, cloud security, and related tools to identify threats and vulnerabilities. Creates audit dashboards and reports, collaborates with business and application owners to resolve security issues, tracks emerging threats, and provides feedback to senior personnel and management.

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.

Leads full-stack software development teams, serves as a client-facing technical advisor, and guides projects from ideation through production. Designs pragmatic solutions using C#/.NET and React, champions TDD, pair programming, continuous delivery, DevSecOps, and infrastructure automation, and remains hands-on with coding. Mentors developers, translates business needs into technical requirements, establishes technical vision, and fosters an inclusive culture of continuous learning and improvement.

Lead customer migrations from legacy data platforms to Snowflake, designing target architectures and migration plans. Assess workloads, convert SQL and ETL code, modernize pipelines, and oversee validation, performance testing, and production cutover. Advise customers, engineering leaders, and systems integrators; support sales scoping and Statements of Work. Develop reusable migration patterns and collaborate with Product and Engineering. The role requires substantial data architecture experience, customer-facing consulting, cloud platform knowledge, and travel within Australia and New Zealand.

Designs and maintains scalable data pipelines and models, centralizes enterprise data in a warehouse, and processes hundreds of millions of daily events. Leads technical solution design, promotes coding, DevOps, metadata, and testing standards, and integrates AI tools into engineering workflows. Collaborates with Product, Cyber Security, Platform Engineering, and stakeholders to deliver data publishing solutions, resolve incidents, document systems, and shape requirements.

Embed application security throughout the software delivery lifecycle by conducting threat modeling, secure design reviews, code reviews, vulnerability management, penetration testing, and security testing in CI/CD pipelines. Maintain application security standards, tooling, guardrails, and software supply-chain visibility. Support AI security reviews, responsible disclosure, developer training, reporting, audits, and regulatory compliance while partnering with engineering, architecture, infrastructure, and risk teams.