As a Senior Platform Engineer : You will be expected to perform the following tasks and responsibilities in a manner consistent with CBA's Values and People Capabilities. Core Responsibilities: Design, implement, and maintain the infrastructure and systems necessary for AI/ML use cases including model deployment/monitoring/orchestration. Develop and manage CI/CD pipelines for AI/ML use cases to ensure efficient and automated model deployment. Collaborate with data scientists and engineers to build robust ML pipelines that can handle large datasets and traffic. Implement robust monitoring and alerting systems to track model performance, data drift, and system health. Maintain security adherence and compliance standards, including data privacy and model explainability. Ensure clear and comprehensive documentation of AI/ML processes, infrastructure, along with configurations. Work closely with cross functional teams, including data scientists, software engineers, and DevOps, to ensure smooth model deployment and operations. Drive E2E AI use cases in R&D style of development. Your skills & Your Experience Experience: Strong Experience in Python, Shell Scripting etc Strong experience in building & packaging enterprise ready AI applications into Docker containers Strong experience in CI/CD tools (e.g Git/GitHub, TeamCity, Artifactory, Octopus, Jenkins, etc.) Experience in automating repetitive tasks using Ansible, Terraform etc. Experience in AWS Identify and drive opportunities for continuous improvement within the team and in delivery of products. Help to promote good coding standards and practices to ensure high quality. Understanding of MLOps practices for continuous integration, deployment, and monitoring of ML models Good to Have: Basic understanding of database concepts, SQL Domain experience in finance, banking, Insurance Good understanding of AI/ML concepts and GenAI foundations Your Qualifications Essential: A degree in Engineering / Computer Science or a related discipline Minimum 7 years of Experience in IT Industry, with hands on experience. Desirable: Specialties: Big Data, CI/CD, AWS /Cloud Services. Experience in Development (Coding, Testing) Additional industry or product certification Required Technical Skills Proficient in Python, Kubernetes, Docker, GitHub, AWS. Experience with monitoring tools (observability, Grafana, Telemetry). Strong background in MLOps and DevOps. Proficient in Shell Scripting and Ansible. DevSecOps expertise Domain experience in finance, banking, Insurance is good to have Strong communication skills. Open for candidates with 60-90days notice period. Note: Require 100% Diversity profiles.

Your responsibilities As a Senior ML Engineer, You will be expected to perform the following tasks and responsibilities in a manner consistent with CBA's Values and People Capabilities. Core Responsibilities: • AI/ML Strategy Implementation: Support CDO in executing the Group's AI strategy Drive E2E AI use cases with cutting-edge technologies Align solutions with Group's data strategy and architecture ML Platform Development: Design and implement scalable ML platforms Build automated ML pipelines using Python and AWS services Ensure robust model deployment and monitoring systems Cloud Infrastructure Management: Utilize AWS services (CloudFormation/Terraform, S3, CloudWatch, IAM, EC2, ECR, Lambda, EMR, SageMaker) Implement infrastructure as code practices Maintain security and compliance standards API Development & Integration: Develop RESTful APIs using Django, Langchain , and Node.js Create efficient data processing pipelines Implement MLOps best practices Technical Leadership: Provide technical guidance on ML infrastructure Collaborate with data scientists and business stakeholders Drive innovation in AI/ML technology adoption Your skills & Your Experience Required Skills & Experience: 7-10 years of experience in ML Engineering/MLOps Expert-level Python programming skills Strong experience with AWS services and cloud architecture Proficiency in shell scripting and automation Experience with API development frameworks Knowledge of ML frameworks and tools Understanding of DevOps practices Technical Competencies: Advanced proficiency in IT Risk Assessment & Management Advanced Systems Management capabilities Sound consulting and critical analysis skills Strong negotiation and service partner management abilities People Capabilities: Customer Focus Team and Culture building Continuous Improvement mindset Effective Communication Strong Judgement Results-Driven approach Good to Have: Basic understanding of database concepts, SQL Domain experience in finance, banking, Insurance Good understanding of AI/ML concepts and GenAI foundations Your Qualifications Essential: • A degree in Engineering / Computer Science or a related discipline • Minimum 3 years of Experience in IT Industry, with hands on experience in ML Models development & Its maintenance & Data Science. Desirable: • Specialties: Big Data, CI/CD, AWS /Cloud Services. • Experience in Development (Coding, Testing) • Additional industry or product certification Your Development If you live the values and demonstrate the people capabilities, we can offer great opportunities. Whether you want to move across the organisation or up into a leadership role, the ways you live the values and demonstrate the people capabilities are key to progressing. From this role, you could transition into other roles to broaden your technology coverage as part of developing yourself for more senior role either in same portfolio or different portfolio. Use the people and enterprise services capabilities required for this role as a guide to the critical skills and behaviours you need for your next move. Proficient in FastAPI, MLOps, and Python. API Development & Integration: Develop RESTful APIs using Django, Langchain and Node.js; Create efficient data processing pipelines; Implement MLOps best practices Strong background in machine learning and data science. Experience with building and implementing data models and algorithms. Testing and validating models. Familiarity with AWS SageMaker. Preferences: Candidates with a background in statistics and mathematics may not be a good fit. Not primarily looking for GCP expertise. AI Ops experience is not a priority but acceptable. Certification: Any associate-level cloud certification is acceptable. Open for candidates with 60-90days notice period. Note: Require 100% Diversity profiles .

Your responsibilities As a Senior ML Engineer, You will be expected to perform the following tasks and responsibilities in a manner consistent with CBA's Values and People Capabilities. Core Responsibilities: 1. Technical Skills: Lead the development of GenAI, AL ML applications and platforms Architect scalable AI ML solutions using modern tech stack Mentor junior developers and provide technical guidance 2. Full Stack Development: Design and develop end-to-end applications using Python, Django, Flask Create responsive and efficient front-end solutions Implement secure coding practices for financial applications 3. Development: Build and maintain GenAI ML applications end to end Implement full-stack solutions using Python/Django and flask Develop RESTful APIs and microservices 4. AI/ML Implementation: Support MLOps processes and model deployment Integrate AI models into applications Assist in AI solution optimization 5. Cloud Services: Work with AWS services (EC2, ECR, CloudWatch Implement containerization using Docker Support deployment and monitoring 6. Security Focus: Implement security best practice Assist in fraud detection implementation Follow financial security protocols 7. AI/ML Integration: Lead MLOps implementation and model deployment Oversee AI model integration into production systems Ensure AI solution security and performance 8. Cloud & DevOps: Design cloud architecture using AWS services Implement containerization strategies using Docker Manage CI/CD pipelines and deployment workflows 9. Security & Compliance: Implement fraud detection and prevention measures Ensure compliance with financial security standards Lead security reviews and risk assessments Your skills & Your Experience Required Skills & Experience: 7-10 years of software development experience Expert-level Python and Django & flask development Advanced AWS services knowledge Strong experience in GenAI application development Proven leadership in technical teams Deep understanding of financial security Technical Competencies: Advanced proficiency in IT Risk Assessment & Management Advanced Systems Management capabilities Sound consulting and critical analysis skills Strong negotiation and service partner management abilities People Capabilities: Customer Focus Team and Culture building Continuous Improvement mindset Effective Communication Strong Judgment Results-Driven approach Good to Have: Basic understanding of database concepts, SQL Domain experience in finance, banking, Insurance Good understanding of AI/ML concepts and GenAI foundations Your Qualifications Essential: A degree in Engineering / Computer Science or a related discipline Minimum 3 years of Experience in IT Industry, with hands on experience in ML Models development & Its maintenance & Data Science. Desirable: Specialties: Big Data, CI/CD, AWS /Cloud Services. Experience in Development (Coding, Testing) Additional industry or product certification Your Development If you live the values and demonstrate the people capabilities, we can offer great opportunities. Whether you want to move across the organisation or up into a leadership role, the ways you live the values and demonstrate the people capabilities are key to progressing. From this role, you could transition into other roles to broaden your technology coverage as part of developing yourself for more senior role either in same portfolio or different portfolio. Use the people and enterprise services capabilities required for this role as a guide to the critical skills and behaviours you need for your next move. Required Technical Skills Proficient in Python (Front end+Back end), Django, Flask; Development: Build and maintain GenAI ML applications end to end; Implement full stack solutions using Python/Django and flask; Develop RESTful APIs and microservices Hands-on experience with AWS Cloud Infrastructure. Full stack development expertise. Good understanding of AI/ML concepts and GenAI foundations Experience with Langchain. Strong DevOps skills. Database concepts, SQL; Domain experience in finance, banking, Insurance Strong communication skills. Open for candidates with 60-90days notice period Note: Require 100% Diversity profiles .

Your Team and Responsibilities You will lead a team of Engineers, Data Scientists and collaborate with Technology Product Owners that will be helping to build the platforms, tools and services provided by the Gen AI domain to our internal customers. These cross-capability teams reporting int chapters; will be spread across multiple squads delivering to effectively use our solutions through co-engineering on Gen AI Hub or Transformer Banking Experience. Youll have the opportunity to take responsibility people management, capability uplift, continuous improvement, ensuring our engineers and other discipline teams are inspired to do the work that matters! For the Prompt Engineering and Knowledge Engineering disciplines. Collaborate & Partner Collaborate with Technology Pos from different squads to accomplish Squad/Chapter goal. Cultivate key internal and external partnerships, wherever required. Act as a key liaison between the various support & cross functional teams across Australia & India Partner with Squads and/or COE leads to determine skillset and capability requirements to sustainably meet resourcing needs. Drive & Execute Strategy Elevate craft capabilities, strategically applying expertise across the portfolio to accelerate Gen AI delivery. Drive a Tech culture of continuous improvement (CI). Participate in planning, definition and high-level growth of peoples career; people movement across squads, assist Squads to identify the right technical skilled people. Have demonstrable software development experience. You are willing to learn and jump into the deep end of technical problems and dive into code Can demonstrate a thorough understanding of software design and software development lifecycle. Are familiar with emerging tech and methodologies. Lead & drive cultural change Bring a friendly and can-do attitude and teamwork and inspire others on culture change needed to build an Engineering Mindset and AI First Mindset. Lead a team and support the wider CBA India LT in developing a positive culture by demonstrating CBA values in your approach to your responsibilities. Drive a one team culture across engineers to manage competing priorities and share best practices Design and implement a framework for accredited learning pathways, reskilling and talent transformation for making the workforce worldclass Build a Strong academy for people to upskill and certify to become proficient in multiple technologies and capabilities Accountable for the development, performance management and career progression of a number of Technology roles e.g. Software and Systems Engineers Drive a Risk Mind-set: Build collaborative relationships with various stakeholders to ensure risks are identified early and managed in a timely manner. Role models exceptional risk behaviors and embeds a superior risk culture. Your skills & Your Experience Experienced leader with strong people management and stakeholder management capabilities and backgrounds e.g. Gen AI, AI, Platform Engineering, Architecture, Data Strong Leadership (including People Management), not just Project Management Have tech delivery expertise (i.e. an expert in tech that can also get tech delivery done) High level of communications and negotiation skills, including the demonstrated ability to solicit opinions and accept feedback. Experience in operating effectively as part of cross-functional teams. Proficiency in key capabilities IT SDLC processes, written documentation/ specification skills Have experience in Prompt Engineering / Gen AI Adoption/ Platform Engineering / Knowledge Engineering disciplines Exposure to tools/services/capabilities like: Cloud Solution Architecture/Development/Security/IaaC (AWS + Azure) Python / TypeScript / C# Gen AI frameworks & tools (e.g. Agentic FWs, Langchain, Semantic Kernel) Vector/Graph/SQL Databases Non-deterministic automated testing Machine Learning, including LLM fine-tuning System Reliability Engineering Secure Coding Customer engagement systems Workflow platforms Your Qualifications Education: Advanced degree in Computer Science, Engineering, Maths, Statistics, or related field Minimum of 15 years of experience in relevant field, with 5+ years of experience in core technology organization or Banking Proven track record of building and leading a team of engineering professionals. Excellent problem-solving skills and ability to identify creative solutions to complex problems. Strong cross-cultural communication skills and the ability to effectively manage collaboration across time zones. Required Technical Skills Solution Architect experience for GenAI. System design knowledge. Proficient in Python code review. Cloud Solution Architect - Experience with AWS (Certified ones are preferred) Exposure to GenAI, NLP, RAG, and ML engineering. The resource should have experience in leading and managing a team previously as they will have diect reportees in this role Must have a problem-solving attitude and strong leadership skills and should not have only project management experience End-to-end domain knowledge. Open for candidates with 60-90days notice period . Note: Require 100% Diversity profiles

Organization: At CommBank, we never lose sight of the role we play in other peoples financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Chapter Lead Location: Bangalore (Hybrid) Business & Team: We have a vision of becoming the leading business bank, powered by the next horizon of technology. Were delivering on this by working hand-in-hand with our business colleagues to jointly solve problems with customer centricity and technical innovation, cultivating a world-class team of empowered people, and building technology solutions for the future. You will be working as a part of Business Banking to achieve their strategic objectives through planning, prioritising, delivering and supporting projects and initiatives. Your teams success will be realised through partnering with business and IT teams across business domain and Technology to deliver beautiful experiences and exceptional capabilities to our branch applications Our solutions are relied upon and trusted by millions of Australians everyday, so we put a great deal of emphasis on reliability, performance, security and ease of use. Impact & Contribution: Apply advanced technical knowledge to deliver key strategic solutions which addresses business problems. You will contribute to building a brighter future for our customers by ensuring that our team builds the best solutions possible using modern development practices that ensure both functional and non-functional needs are met. If you have a history of building a culture of empowerment and know what it takes to be a force multiplier within a large organization, then youre the kind of person we are looking for. Roles & Responsibilities: The primary purpose of the role is to build high performing web platform teams. To continuously improve the web products with best engineering solutions. Set up digital engineering teams which consists of squads delivering products & initiatives aligning to bank's Strategic and business objectives. Establish a functional and seamless operating model that operates efficiently. Create empowered teams with decision making autonomy by providing leadership and clear direction that empowers squad members to deliver on priorities, outcomes and tasks. Deliver product with technical change aligned with the bank's strategic priorities. Ensure the creation of a high performing and engaged direct team through effective leadership. Protect, Simplify and improve the bank's core web and ensure assets roadmap and reference architectures are in place for your business domain. Ensures Compliance with the bank's change and delivery frameworks and methodologies. Adopt web development architecture, engineering, user experience and testing standards and practices. Establish a culture of continuous improvement and introspection. Manage an effective change pipeline by ensuring supply, demand and capability alignment. Identifies, raises and mitigates operational risks; work with stakeholders, partners and others to implement appropriate risk controls and measures. Promote the culture and values of the Crews and leads the team to do the same. Review and approve cost estimates at various stages of the delivery lifecycle. Support incident resolution and ensure collaborative and open post incident review and root cause analysis. Work with bank and partner stakeholders to ensure appropriately skilled resources are in place. Help to Track and manage squad finances and ensure cost recovery. Drive uplift in individual squad maturity and engineering practices Essential Skills: Must Have: Strategic Thinking. External perspective. Understand market and industry trends. Product delivery. Proven record of delivering Customer Centric outcomes. Experience working with distributed, cross functional teams. Continuous delivery and Agile practices. Thought Leadership and People Leadership. Track record of building high performing teams. Expert knowledge in SDLC methodologies. Adaptive to ways to optimise the analysis, development and testing of software. Risk Mindset - All CommBank employees are expected to proactively identify and understand, openly discuss and act on current and future risks. Technology Skills: 15+ years of industry experience with 5+ years of leadership experience AWS is mandatory .NET Technologies Software architecture with modern patterns and practices Front End Web Development Awareness of the following Software Development Concepts: REST and API Development CI/CD and DevOps TDD and BDD Micro-services Architecture Secure Coding Practices Preferred : Leading change Financial Services Retail Trading Experience Application support and maintenance Education Qualifications: Bachelors degree or masters degree in engineering in Computer Science/Information Technology.

Organization: At CommBank, we never lose sight of the role we play in other peoples financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Staff Software Engineer Location: Manyata Tech Park, Bangalore Business & Team: CTO - IT Service Management & Operations Impact &contribution: The Service Management Modernisation Program (SMM) is a pivotal transformation to achieve the target state DevSecOps vision. This newly formed stream will form part of a larger squad working together to build solutions. A Product Manager will balance effort and complexity across a list of improvements. The squad will be involved with engineers in Business units to creatively solve their problems and pain points. Roles & responsibilities: Reducing manual TOIL with automation Assess manual processes and design efficient, modern alternatives System integration skills, ensuring all parts of the automation system work together seamlessly are also crucial. Excellent debugging skills; able to debug complex technical issues involving multiple system components Strong communication skills ensure you can effectively share ideas and solutions with your team . In simple terms, we aim to optimise some highly manual and administrative operational work, to simplify the life of service owners and engineers who build and run these services. This role will support directly this highly visible and in-demand roadmap of modernisation and automations. The backlog of work is wide can range from simplifying a process, eliminate some hands-off or attestations, to completely automate the way we run our compliance around technology controls. The technologies will be around Data and analytics, UI and dashboards, automations and system integrations. This newly formed stream will form part of a larger squad working together to build solutions. A Product Manager will balance effort and complexity across a list of improvements. The squad will be involved with engineers in Business units to creatively solve their problems and pain points. Essential skills: Should have 11+ years of experience. You are a full cycle developer, technical specialist or a software engineer who enjoys the challenge and satisfaction of writing elegant and efficient code Experience with Go, JavaScript (React/Node), TypeScript, Python, ReactJS, SQL, AWS, RESTful APIs, Infrastructure of Code, Cloud (AWS) Passion for continually improving the processes for CBA engineers and knowledge of micro services architecture and RESTful APIs Familiarity with tools such as Jira, Confluence and ServiceNow and Container technology, Docker and Kubernetes/EKS Source control and CI/CD tooling such as GitHub, GitHub Actions, Jenkins, Argo CD TeamCity and Artifactory, Monitoring tools such as Prometheus and Graphana Experience with modern software engineering practices such as Trunk development, Pact Testing, Unit Testing, and Test Driven Development (TDD) Knowledge and experience in the area of application development and design specialisation and Demonstrated experience with continuous delivery technologies, CI / CD solution design and implementation. Education Qualification: Bachelors degree or Masters degree in Engineering in Computer Science/Information Technology.