5 days ago

Senior Engineering Leader

Commonwealth Bank

Sydney

5 days ago

Apply

Senior Engineering Leader (Crew Tech Lead) at CommBank in Sydney, leading a large cross-functional engineering organisation for Complaints and Operations platforms. Requires deep engineering leadership, cloud-native and microservices architecture expertise, and demonstrated delivery of AI/GenAI initiatives into production business outcomes.

Core AIHybridFull-timeSeniorJava.NET

Senior Engineering Leader

Apply

Core AIHybridFull-timeSeniorJava

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

Java.NETPythonReactCloud-native microservicesDistributed architecturesAPIsEvent-driven integrationContainerisationObservabilityAIGenAIAgentic AILLM-based applicationsRAGMLOpsDevSecOpsCI/CDSREPlatform engineeringSolution architectureAWSPegaFlowableAppian

Soft Skills

LeadershipCommunicationInfluencingStakeholder leadershipStrategic thinkingCoachingCollaborationOwnershipContinuous learningAmbiguity toleranceDecision making

Preferred Qualifications

Technical (Nice-to-have)

AWSPegaFlowableAppian

Key Responsibilities

•Lead and develop a high-performing engineering organisation, creating a strong culture of ownership, collaboration, technical excellence and continuous learning.
•Coach and develop Engineering Managers, Staff Engineers and emerging technical leaders, building sustainable leadership capability across the crew.
•Shape the technology and engineering roadmap for Complaints and Operations capabilities, ensuring alignment with customer outcomes, business strategy and enterprise architecture.
•Provide architectural leadership across cloud-native, distributed and microservices-based platforms, including API-led and event-driven architectures.
•Drive appropriate decomposition of legacy and monolithic platforms into reusable business capabilities and independently scalable services, while avoiding unnecessary architectural complexity.
•Lead the responsible adoption of AI and agentic engineering, with demonstrated experience taking AI-enabled capabilities beyond experimentation into measurable business or customer outcomes.
•Establish engineering patterns for integrating AI models, agents, enterprise APIs, knowledge and data while ensuring appropriate security, governance, observability and human oversight.
•Champion modern software engineering practices across automated testing, CI/CD, DevSecOps, SRE, observability and platform engineering.
•Build strong partnerships across Product, Operations, Architecture, Data, AI, Risk and other Technology teams to translate business strategy into executable technology outcomes.
•Drive simplification and reuse, reducing dependency on bespoke and legacy technologies in favour of strategic enterprise platforms and reusable capabilities.
•Maintain strong accountability for the resilience, security, risk and operational performance of production services owned by the crew.

Engineering LeadershipFinancial ServicesCloudAIMicroservicesDevSecOpsSydneyHybridSenior

Core Qualifications

Technical (Must-have)

Soft Skills

LeadershipCommunicationInfluencingStakeholder leadershipStrategic thinkingCoachingCollaborationOwnershipContinuous learningAmbiguity toleranceDecision making

Key Responsibilities

•Lead and develop a high-performing engineering organisation, creating a strong culture of ownership, collaboration, technical excellence and continuous learning.

•Coach and develop Engineering Managers, Staff Engineers and emerging technical leaders, building sustainable leadership capability across the crew.

•Shape the technology and engineering roadmap for Complaints and Operations capabilities, ensuring alignment with customer outcomes, business strategy and enterprise architecture.

•Provide architectural leadership across cloud-native, distributed and microservices-based platforms, including API-led and event-driven architectures.

•Drive appropriate decomposition of legacy and monolithic platforms into reusable business capabilities and independently scalable services, while avoiding unnecessary architectural complexity.

•Lead the responsible adoption of AI and agentic engineering, with demonstrated experience taking AI-enabled capabilities beyond experimentation into measurable business or customer outcomes.

•Establish engineering patterns for integrating AI models, agents, enterprise APIs, knowledge and data while ensuring appropriate security, governance, observability and human oversight.

•Champion modern software engineering practices across automated testing, CI/CD, DevSecOps, SRE, observability and platform engineering.

•Build strong partnerships across Product, Operations, Architecture, Data, AI, Risk and other Technology teams to translate business strategy into executable technology outcomes.

•Drive simplification and reuse, reducing dependency on bespoke and legacy technologies in favour of strategic enterprise platforms and reusable capabilities.

•Maintain strong accountability for the resilience, security, risk and operational performance of production services owned by the crew.