CC Staff Platform Engineer Cba (CommBank Careers) · Bangalore · Platform & Infrastructure Pay not stated 3w ago

Devopsroles; Bengaluru; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

CommBank seeks a Staff Platform Engineer to define and build foundational AI platform capabilities for secure, scalable AI in the Lending domain. You will collaborate with architects, engineers, and product owners to embed AI into core services with enterprise-grade reliability and governance.

The role emphasizes delivering regulatory reporting initiatives, production operations support, and data-architecture integration, with leadership across offshore teams and strong emphasis on AWS-based

Qualifications

• Extensive experience with AWS cloud solutions and services.
• Expert knowledge of core AWS services and architecture.
• Strong background in ML/AI services within AWS and governance.
• Proficient in Python, scripting, and modern programming languages.

Responsibilities

• Design, build, and migrate workloads into AWS and EKS.
• Apply AWS Well-Architected Framework and IaC using Terraform, CloudFormation, and CDK.
• Ensure security, governance, and cost optimization across platforms.
• Lead offshore engineering teams and mentor peers.
• Develop AI platform capabilities for lending domains and regulatory reporting initiatives.

Skills

AWS

Python

CI/CD

DevOps

Terraform

CloudFormation

AWS CDK

SageMaker

Textract

Bedrock

Education

Bachelor of Engineering

Tools

Terraform

CloudFormation

AWS CDK

EC2

S3

Job description

Organization:

At CommBank, we never lose sight of the role we play in other people's 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 PlatformEngineer

Location:

Bangalore

Business & Team:

Corporate Technology

Impact & contribution:

As a Staff Platform Engineer, you will define and build the foundational AI platform capabilities that enable secure, scalable, and production-ready AI across the Lending domain. You will partner with domain architects, engineering teams, and product owners to embed AI into core services while ensuring enterprise-grade reliability, governance, and operational excellence.

The successful candidate will play a pivotal role in delivering strategic regulatory reporting initiatives, supporting production operations, and driving the integration of our future-state data architecture. This position requires a combination of deep technical expertise, strong analytical and problem-solving capabilities, and the ability to lead and mentor offshore engineering teams.

Roles and Responsibilities:

• Design, build, and migrate application workloads into AWS and EKS
• Utilize core AWS services such as Compute (EC2, Lambda), Storage (S3, EBS), Networking (VPC, Route53), and Database (RDS including Aurora, NoSQL including DynamoDB, Neptune).
• Implement management, security, and cost optimization strategies using IAM, CloudWatch, and Security Groups.
• Apply the AWS Well-Architected Framework to ensure best practices in cloud architecture.
• Develop Infrastructure as Code (IaC) using TerraForm, CloudFormation, and AWS CDK.
• Observability, reliability engineering, and DevOps practices.

• Leverage specialized services such as Containers (ECS, Fargate, EKS) and Machine Learning and AI services (Amazon Textract, Amazon Bedrock, Sagemaker, Amazon Q).
• Demonstrate strong programming skills in Python (preferred) or another modern programming language.
• Build and operate enterprise AI platform capabilities for the Credit Risk and Lending domains.
• Design domain-aligned AI evaluations, prompt management, and guardrails to enable responsible AI adoption.
• Embed AI into core lending services through reusable platform capabilities, APIs, and BIAN-aligned architecture.
• Ensure AI services meet production-grade standards for reliability, security, governance, and operational SLAs.
• Drive continuous improvements in AI quality, latency, accuracy, and platform performance while mentoring engineering teams and promoting engineering best practices.

Essential Skills:

• Minimum 12+ years of experience with expert level knowledge,
• Practical industry experience in AWS cloud solutions.
• Proficiency in core AWS services and concepts.
• Solid knowledge in specialized AWS services.
• Machine Learning and AI services – Amazon Textract, Amazon Bedrock, Sagemaker, Amazon Q
• Scripting and programming using technologies such as Python, PowerShell, Bash, Go, Java, .NET.
• Experience with DevOps and CI/CD services and tools.

Educational Qualifications:

Bachelor of Engineering or B.Tech

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