Top Engineering Manager Jobs in Melbourne

Leads ML and platform engineering teams building scalable, production-grade machine learning infrastructure. Responsibilities include coaching engineers, guiding architecture and engineering trade-offs, improving MLOps maturity and observability, translating business goals into delivery plans, managing roadmaps, maintaining system health, and supporting production incidents through code review, debugging, or hands-on development. The role supports AI products including conversational GenAI, automated bank reconciliation, document capture, and cash-flow forecasting.

The Engineering Manager will lead software delivery teams, champion AI workflows, resolve technical challenges, and enhance engineering practices to meet business goals.

Lead a distributed data engineering team to design, build, and maintain core data models and real-time data flows on an AWS/Snowflake platform. Balance strategic architecture and hands-on delivery, manage risks and dependencies, establish SLOs and DataOps practices, and coach senior engineers to improve platform quality and performance.

Lead development and delivery of support engineering solutions and service delivery for OneSKY. Manage ILS/LSA activities, coordinate teams and subcontractors, ensure contractual and financial compliance, drive continuous improvement, and maintain strategic customer partnerships through transition to go-live and sustainment.

Lead a cloud engineering squad (Polaris) to deliver cost-efficient, compliant cloud operations. Drive roadmap delivery, maintain engineering and operational quality, grow a high-performing team through coaching and recruitment, and deliver automation, guidance and custodianship across platform services.

Lead one or more cross-functional SAP-domain engineering squads to deliver product outcomes, manage stakeholder expectations, develop engineers, drive engineering best practices (TDD, CI/CD, DevOps), and contribute to architecture and tooling decisions while improving squad performance and delivery transparency.

Lead a squad of 3–5 engineers while remaining hands-on with full-stack development, architecture, coding, code reviews, reliability, and production delivery. Partner with Product and Design to build secure, scalable home lending platforms. Own the software lifecycle, promote CI/CD, DevOps, observability, automated testing, AI-assisted development, and continuous improvement. Influence engineering strategy, technical standards, platform sustainability, and capability uplift across the broader engineering organization.

Lead a technical support engineering team delivering forensic platform-level incident diagnosis, driving fixes and reliability improvements, and building automation and tooling (including AI) to reduce toil. Own on-call rotations, SLA reporting, stakeholder management, and cross-team coordination with Product and Engineering. Mentor engineers, shape agile practices, and drive support strategy for Australian clients while ensuring continuity across time zones.

Lead and develop the site Engineering team, manage CAPEX/OPEX project portfolios from planning through commissioning, drive continuous improvement and asset optimization, ensure compliance with engineering standards and process safety, lead risk assessments and Management of Change activities, and collaborate cross-functionally to deliver sustainable business results.

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

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 and productionise ML systems focused on LLMs and foundation models. Develop AI features (document understanding, forecasting, conversational interfaces), implement MLOps (CI/CD, model versioning, monitoring), and deploy scalable, safe solutions on AWS (SageMaker, Bedrock, S3).

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.

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.

Manage engineering teams and operations for the BootStack service, ensuring quality and timely delivery of managed services while collaborating with stakeholders and optimizing team performance.

The Engineering Manager leads the Ubuntu Desktop Apps team, overseeing application design, development, and system integration while mentoring engineers and promoting continuous improvement in software quality.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Lead and mentor a team of engineers to enhance AppArmor security features, ensuring high quality results and collaboration with stakeholders.

Lead Embedded within Production Engineering to solve high-impact reliability and scalability problems. Influence cross-team initiatives, coach senior engineers, define engagement models, build observability and resilience tooling, and turn learnings into reusable engineering practices.

Lead and grow an engineering team delivering scalable, high-availability marketplace products. Guide system design, review critical work, drive delivery, embed modern practices (CI/CD, IaC, containers, automation and AI-enabled development), and own production performance, reliability, cost and optimisation while partnering with Product, Design and Data.

The Product Engineering Manager will lead the engineering workflows team, ensuring operational readiness, quality, and stability while driving the delivery of production-grade AI systems in a clinically sensitive environment.