Top Engineering Manager Jobs in Sydney

Leads Canva’s Embedded Production Engineering team, guiding senior engineers through complex reliability, scalability, observability, data protection, and production-risk challenges. The role combines technical leadership, coaching, cross-organizational influence, initiative delivery, function building, and development of reusable engineering practices. The manager will shape the team’s operating model, build trust with engineering leaders, improve software resilience, and grow future technical leaders in large-scale production environments.

Leads Canva’s Core Production Engineering team, guiding software engineers through complex, cross-team reliability and scalability initiatives. Sets team priorities, shapes evolving technical scope, coaches engineers, and drives adoption of reusable engineering practices. Requires strong software engineering fundamentals, systems and architecture knowledge, cloud and networking experience, and familiarity with production reliability, observability, capacity, and failure modes. Prior SRE or Production Engineering management experience is preferred.

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.

Leads and develops a backend engineering team building secure support platforms and AI-enabled customer service solutions. Responsibilities include coaching engineers, defining technical strategy and roadmaps, coordinating cross-team integrations, driving engineering quality and AI governance, and aligning priorities and resources with leadership. The role requires strong backend and architecture expertise, platform and product thinking, and the ability to communicate technical value to cross-functional stakeholders.

Manage and coach a presales Customer Engineering team in the ANZ region. Responsibilities include workload management, technical coaching, escalations, recruiting and onboarding, customer relationship management, cross-functional coordination, and supporting proof-of-concept win rates and sales quota achievement. The role partners closely with Sales, Product, Engineering, Customer Support, and Customer Success while maintaining team culture, performance, and development.

Leads AI engineering teams in delivering scalable, reliable, production-ready AI solutions. Responsibilities include converting prototypes into monitored services, establishing technical standards, fostering engineering talent, embedding responsible AI governance and risk controls, and aligning business, product, and technology stakeholders. The role requires expertise in generative AI, LLM systems, MLOps or LLMOps, data engineering, cloud platforms, software development, privacy, security, and regulated financial services.

Lead multiple engineering squads across technical direction, architecture, delivery, and stakeholder management. Mentor squad leaders and engineers, manage engineering team leads, improve engineering practices, monitor delivery efficiency, promote modern development and DevOps practices, and contribute to building a high-quality engineering organization.

As an Engineering Manager for the Core Performance team at Stripe, you will lead a team to improve efficiency and latency, foster engineering excellence, and collaborate on infrastructure solutions across the company.

Lead approximately 10 engineers building and hardening Quantium’s internal platform for developing, testing, deploying, and improving production-grade AI agents. Guide architecture, infrastructure, integrations, developer experience, technical standards, and platform adoption while coaching engineers and developing technical leaders. Partner with product, engineering, executives, and clients to balance delivery, scalability, quality, and enterprise requirements.

Lead engineering execution for Machines4U: translate business priorities into roadmaps, manage a distributed engineering team, modernise a mixed legacy/modern stack, oversee integrations, ensure security/reliability/compliance, and partner with product and group engineering to deliver commercial outcomes.

Lead and grow the Enterprise Sales Engineering team, own technical sales strategy and campaign execution across the territory, coordinate technical resources for customers, drive technical evaluations to a documented win, represent CrowdStrike publicly, partner closely with sales, and develop team capability and enablement.

The Engineering Manager for Developer Experience will lead a team to improve development tools and processes, enhance the developer experience, and manage internal platforms, while embodying a customer-oriented mindset.

Lead and mentor a team of engineers to develop AI-driven platforms, architect solutions utilizing LLMs and Deep Learning, and ensure a scalable AI infrastructure.

Lead and grow a software engineering team building platform products and shared services used by other engineers. Provide people leadership, technical direction, and improve engineering standards, architecture, delivery practices, testing, deployment, resilience, and developer experience. Coordinate across product, architecture, design and distributed teams to enable predictable, high-quality delivery while promoting security, privacy and a culture of engineering excellence.

Lead and manage enterprise voice and data network operations, security, vendor relationships, upgrades, incident response, capacity planning, SLAs, and regional strategy while driving automation and AI improvements and supporting a 24/7 roster.

Lead a small AI engineering team to design, build, deploy and monitor LLM- and foundation-model-based ML systems for MYOB's SaaS platform. Implement MLOps best practices on AWS (SageMaker, Bedrock, S3), optimise for scalability, safety and reliability, and drive projects from ideation to production while collaborating with product and engineering stakeholders.

The Engineering Manager will lead a software development team, ensure project delivery, define best practices, and collaborate for software design. They should be hands-on with coding and experienced in software development and cloud-native systems.

Lead and mentor engineers to design, build, and maintain scalable automation and onboarding systems. Implement AI/data-driven risk detection, collaborate with product/ops/compliance, drive architecture and reliability, and improve operational efficiency.

Lead strategy, roadmap, and delivery of real-time fraud detection and client-facing risk products. Architect scalable, reliable systems, drive operational excellence, and build high-performing engineering teams. Collaborate with PM, design, data, SRE, and global stakeholders to improve detection, reduce false positives, and minimize chargebacks. Remain hands-on for critical designs and code reviews, own on-call/incident processes, and recruit and develop engineering managers and senior ICs.

Lead a 2–4 engineer team to design, build, operate, and improve Customer Operations applications (Claims Portal, chatbots). Own technical direction, delivery, architecture, observability, and AI/LLM integrations. Mentor engineers, establish engineering best practices, collaborate cross-functionally, and measure improvements in reliability, quality, and operational outcomes.

As an Engineering Manager, lead a team of engineers, coaching their development while ensuring quality results and implementing engineering processes.

Lead a distributed team of engineers overseeing Linux kernel delivery for Ubuntu, ensuring quality, security, and effective collaborative practices.

As an Engineering Manager, you will lead a team to optimize engineering and operations processes, ensuring quality managed services while collaborating with customers and stakeholders.

Manage and lead a growing engineering team for the BootStack service, ensuring operational excellence and quality service delivery to customers while fostering collaboration and product improvement.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.