Top AWS Jobs in Sydney

Design, build, and operate distributed platform services and APIs using TypeScript and Go. Improve scalability, reliability, observability, and cost efficiency; develop data-intensive workflows and event-driven pipelines; manage SLIs/SLOs, incident response, CI/CD, and production releases. Partner with product teams on end-to-end delivery, write design documents and tests, and participate in on-call rotations for large-scale systems.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.

Drive commercial expansion in Australia by hunting enterprise customers, building the regional sales pipeline, qualifying and closing B2B technology deals, and developing AWS ecosystem relationships. The role also involves collaborating with regional leadership, adapting go-to-market strategy, and gradually expanding into pre-sales coordination, project delivery alignment, and regional P&L responsibilities.

Leads Cyera’s ANZ Commercial Sales team, driving territory growth and quota attainment. Responsibilities include coaching Account Executives, enforcing sales methodologies and CRM practices, reviewing performance, developing team members, supporting recruiting, managing customer and channel relationships, escalating issues, and presenting solutions. Requires leadership experience selling large deals in high-growth environments, cloud and data security knowledge, consultative selling skills, CRM expertise, and the ability to manage changing priorities.

Lead technical delivery for enterprise software implementations, integrations, workflow automation, AI solutions, and digital transformation projects. The role includes designing scalable solutions, analyzing business processes, conducting customer workshops, mentoring consultants, reviewing architectures, supporting estimation and governance, and driving adoption of AI capabilities. Requires extensive technical consulting experience, strong integration and data skills, customer leadership, and familiarity with automation platforms and enterprise AI use cases.

Designs and maintains enterprise endpoint environments and desktop standard operating environments. Provides architectural guidance, escalation support, mentoring, customer consulting, and continuous improvement across endpoint management, Windows deployment, security, VDI, cloud, and hybrid infrastructure. The role requires strong stakeholder, communication, planning, budget, and vendor-management skills, along with eligibility for Australian Government Baseline clearance.

Design and build production-grade generative AI systems, including LLM architectures, fine-tuning pipelines, model evaluations, RAG systems, and multi-agent integrations. Optimize models for latency, throughput, token efficiency, and cost while implementing monitoring, guardrails, rollback, and enterprise security patterns. Translate client requirements into model strategies, contribute production code and design reviews, and collaborate across engineering, data, product, and client teams.

Own the architecture and engineering standards for reusable agentic AI solutions integrated with Oracle E-Business Suite, SAP, and major cloud platforms. Build reference implementations, frameworks, prototypes, and production-grade components; establish lifecycle, testing, release, security, and observability practices; and guide technical direction across global engineering centers. Mentor engineers, convert bespoke customer solutions into repeatable offerings, and ensure solutions meet production, governance, compliance, and enterprise reliability requirements.

Develop and close strategic mid-market and enterprise business for Build.io in the US. Own the full sales cycle, including prospecting, discovery, technical evaluation, negotiation, procurement, and closing. Build relationships with technical and executive stakeholders, manage pipeline and forecasting, drive account expansion, and help shape the company’s enterprise go-to-market strategy.

Join a small cross-functional team to build a 0➜1 product. Work across the full stack from design to deployment, architect scalable infrastructure, implement engineering best practices, ensure security, reliability and performance, and collaborate closely with founders to rapidly deliver customer-focused features.

Own the technical vision and roadmap for Nearmap’s large-scale AI platform. Lead a team of 3–4 engineers while designing and operating Kubernetes-based workflow orchestration, distributed GPU training, batch inference, real-time model serving, and LLMOps infrastructure across AWS and GCP. Drive platform reliability, observability, security, automation, CI/CD, and GPU cost efficiency. Partner with AI product teams, lead major incident response, make architectural decisions, mentor engineers, and contribute production Python to the highest-risk platform initiatives.

Lead the architecture and delivery of complex SaaS applications and platform services across the full stack. Build scalable APIs, databases, cloud-native services, and AI-powered workflows while improving reliability, observability, and developer productivity. Provide technical leadership through architecture reviews, mentoring, engineering standards, and production ownership. The role requires autonomy, deep TypeScript and Node.js expertise, full-stack delivery, internal tooling experience, and experience shipping AI capabilities in production.

Provide technical support to customers by debugging and resolving application issues, advising on architecture and integrations, improving the platform and AI agent, maintaining documentation, automating support workflows, and handling platform incidents and customer communications. The role requires strong TypeScript and React skills, modern web application knowledge, production debugging experience, clear written communication, and customer-facing experience.

Designs and operates enterprise cloud platforms, infrastructure as code, Kubernetes environments, CI/CD pipelines, observability, and reliability practices. Leads automation, security, incident management, vulnerability remediation, and production improvements while partnering across engineering, cybersecurity, product, and testing teams. Provides technical leadership, mentoring, architecture input, and platform strategy guidance. Requires substantial experience with cloud engineering, DevOps, high-availability production systems, modernization initiatives, Agile delivery, and stakeholder engagement.

Lead enterprise sales cycles for Databricks among Energy & Utilities customers in Sydney. Drive platform consumption, prospecting, strategic committed deals, pipeline growth, proof-of-concept development, and customer transformation. Coordinate account teams, cloud partners, system integrators, architects, professional services, marketing, and customer success teams. Build territory and account plans, engage executive stakeholders, and communicate the value of Databricks’ data and AI platform.

Build and deploy production software for a payments orchestration platform, integrate card networks, banks, payout rails, Xero and MYOB, and help develop an AI/ML payment decision engine. Establish CI/CD, automated testing, infrastructure-as-code and deployment practices; support a regulated fintech environment; participate in production incident escalation; mentor a graduate engineer; and contribute to product roadmap decisions.

Own the cloud infrastructure platform supporting Nearmap’s AI and machine learning workloads across AWS and GCP. Lead a small engineering team while designing and operating Kubernetes fleets, GPU compute, networking, identity, storage, Terraform infrastructure, CI/CD, observability, security, reliability, and cost controls. Mentor engineers, guide technical strategy, support hiring, manage incidents and on-call responsibilities, and establish reusable platform standards across the company.

Build and maintain reliable, scalable, and secure cloud platforms and tools. Apply site reliability engineering practices, write maintainable code, troubleshoot distributed cloud-native systems, and collaborate with engineering teams on service reliability. Maintain documentation, support self-service capabilities, and participate in on-call rotations and incident response while developing skills under senior engineers.

Designs, builds, and improves secure, scalable infrastructure and software delivery pipelines across physical, virtual, and cloud environments. Responsibilities include infrastructure provisioning, CI/CD automation, system integration, deployment coordination, observability, troubleshooting, performance optimization, and production readiness. The role also drives AI-assisted monitoring and automation improvements while mentoring junior engineers and supporting reliable services in a payments technology environment.

Design, build, and maintain full-stack Link Apps features, partner integrations, services, APIs, and cloud infrastructure. Own integrations end-to-end, including authentication, rate limits, versioning, reliability, instrumentation, and graceful degradation. Collaborate with product, design, partnerships, and business teams to turn ambiguous opportunities into measurable features. Contribute to engineering culture and use AI-assisted development effectively.

Lead enterprise pre-sales engagements focused on data readiness for AI, including discovery workshops, architecture reviews, executive briefings, and technical advisory. Design and advise on scalable Snowflake, Databricks, and lakehouse platforms; translate complex data engineering concepts into business outcomes; support services sales opportunities; develop thought leadership; engage technology partners; and guide customers through data platform migrations, governance, and AI-ready data foundation strategies.

Serve as a trusted technical advisor for enterprise customers, guiding onboarding, adoption, expansion, success planning, and value realization with Cribl solutions. Manage stakeholder relationships, present business reviews, identify new observability and data pipeline use cases, monitor customer health metrics, and collaborate with sales, marketing, product, and engineering. Mentor team members and support customers across time zones.

Integrate security into software delivery and infrastructure workflows across AWS and GCP. Build scanning into CI/CD pipelines, maintain security guardrails, secure containerized workloads, implement least-privilege access and secrets management, and support compliance with SC TRM and BNM RMiT. Improve monitoring, vulnerability reporting, incident readiness, and secure delivery practices while collaborating with platform and engineering teams using multiple programming languages.

Advise enterprise customers on Databricks-based data and AI transformations. Design and optimize Lakehouse architectures, data pipelines, governance, analytics, machine learning, and GenAI workloads. Lead architecture workshops, technical roadmaps, implementation support, executive presentations, and customer enablement. Mentor teams, resolve technical blockers, support presales and proposals, and develop reusable reference architectures and practice assets.

Leads the full lifecycle of medium-sized software projects, including architecture, development, testing, deployment, production support, and continuous improvement. Writes and reviews secure, production-ready code, resolves technical issues, mentors junior engineers, and collaborates with product owners and cross-functional teams. The role focuses on digital marketing and audience amplification platforms using modern cloud, microservices, event-driven, frontend, database, DevOps, and application security technologies.