Top Tech Jobs & Startup Jobs

Leads full-stack engineering for AI-enabled assisted banking platforms. Owns architecture, technical strategy, modernization of legacy systems, cloud-native distributed services, API integrations, reliability, security, observability, and production delivery. Builds with TypeScript, React, Next.js, Node.js, .NET, event-driven systems, and cloud infrastructure. Influences architecture across teams, mentors engineers, resolves ambiguity, drives engineering standards, and applies AI-assisted development throughout the software lifecycle.

Provide customer support for home loan and consumer lending enquiries through messaging and inbound calls in a 24/7 environment. Identify customer needs, resolve complex enquiries and complaints, explain banking products, support responsible lending, maintain service quality, follow procedures, and identify process improvements. Collaborate with team managers and colleagues while contributing to customer satisfaction and operational performance.

Lead architecture and hands-on engineering for a large-scale ATM network transformation. Design secure, resilient, cloud-native distributed systems; modernize legacy platforms; build Java-based integrations, APIs, event-driven services, infrastructure, observability, and automated delivery pipelines. Provide technical direction across teams, apply AI-assisted engineering and agentic tooling, improve reliability and maintainability, and mentor engineers while shaping architecture for ATM switching, routing, reconciliation, real-time data, and cash-management capabilities.

Leads architecture and hands-on development of AI-enabled, cloud-native full-stack platforms for assisted banking. Owns technical direction, modernization of legacy systems, distributed services, APIs, integrations, reliability, security, and production operations. Mentors engineers, influences multiple teams, and develops scalable customer and branch experiences using React, Next.js, Node.js, TypeScript, .NET, cloud infrastructure, event-driven systems, and agentic AI tools.

Lead end-to-end solution architecture for domestic, international, and high-value payment initiatives. Shape payments domain architecture, establish reusable API and integration patterns, and guide engineering teams on secure, resilient, scalable, cloud-native solutions. Drive platform modernization, architecture governance, operational resilience, and pragmatic trade-offs across multiple delivery crews. Identify practical applications for generative and agentic AI while partnering with engineering, security, risk, product, business, and enterprise architecture teams.

Partner with senior leaders to develop Data Science and AI talent strategies. Lead market mapping, strategic sourcing, passive candidate engagement, stakeholder management, and end-to-end recruitment while providing talent-market insights and an exceptional candidate experience.

Build and evolve secure, scalable digital banking platforms, services, APIs, and GraphQL subgraphs used by millions of customers. Lead technical direction across services and mobile architecture, remain hands-on in delivery, mentor engineers, and improve testing, CI/CD, observability, automation, and engineering practices. Own systems through production while solving complex problems and applying modern AI-assisted engineering approaches.

Lead the strategy, roadmap, performance, and governance of Everyday Lending products, including unsecured personal loans and CommBank AdvancePay. Balance customer outcomes, commercial growth, credit risk, regulatory obligations, and delivery priorities. Use customer and performance insights to guide product decisions, influence cross-functional teams, lead multidisciplinary squads, and promote strong accountability, experimentation, controls, and continuous improvement.

Lead the design, development, deployment, and monitoring of GenAI, agentic AI, and machine learning solutions for financial crime prevention and investigation. Provide technical leadership across cross-functional teams, identify AI opportunities, guide reusable solutions, and drive adoption and business outcomes. The role requires expertise in NLP, model development, MLOps, cloud deployment, data engineering, CI/CD, and responsible AI practices.

Leads search, generative engine, and answer engine optimisation across complex digital portfolios. Develops technical and content strategies, measures visibility across search and AI environments, influences senior stakeholders, collaborates with marketing and technology teams, manages agency partners, and builds responsible optimisation standards and capability.