Senior Staff Platform Engineer - Cloud & AI

Commonwealth Bank of Australia; Bengaluru; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Commonwealth Bank of Australia in Bengaluru seeks a Staff Platform Engineer to design and migrate workloads to AWS and EKS, while building enterprise AI platform capabilities for lending. You will implement IaC, drive reliability, governance, and operational excellence across teams.

The role requires deep technical expertise, strong problem-solving, and the ability to mentor offshore engineers. A Bachelor of Engineering is required, with senior-level experience in cloud solutions and AI services.

Qualifications

• Minimum 12+ years of experience in related field.
• Expert knowledge of AWS cloud solutions.
• Proficiency in Python and scripting languages.

Responsibilities

• Design, build, and migrate workloads to AWS and EKS.
• Develop IaC using Terraform, CloudFormation, AWS CDK.
• Drive observability, reliability, and DevOps practices.
• Mentor offshore engineering teams and ensure governance.

Skills

AWS cloud solutions

Python scripting

Leadership mentoring

DevOps CI/CD

Education

Bachelor of Engineering / B.Tech

Tools

Terraform

CloudFormation

AWS CDK

EC2

EKS

SageMaker

Textract

Job description

Staff Platform Engineer 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.Must have at least one current Associate Level+ certification in AWS (e.g., Solutions Architect Associate/Developer Associate or above)

Educational Qualifications:

• Bachelor of Engineering or B.Tech

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Advertising End Date: 29/10/2026

Experience Level Senior Level