Senior Platform Engineer

4 weeks ago

Melbourne, Victoria, Australia Commonwealth Bank of Australia Full time

About the Role:

We are seeking a highly skilled Senior Platform Engineer to join our MLOps Platform team at the Commonwealth Bank of Australia. As a key member of our team, you will be responsible for designing, building, and running high-quality modern machine learning platforms.

Key Responsibilities:

  • Create standardized tooling for deploying and running applications with best practices.
  • Collaborate with customer-facing product owners and engineers to design, build, and run platforms that deliver customer value at greater quality, velocity, and safety.
  • Write code that automates the operations of our platforms, infrastructure, environments, controls implementation, and tooling.
  • Maintain the underlying infrastructure to ensure reliability, security, and scalability.
  • Make all platforms entirely self-service, secure, and available within minutes without human approval.
  • Participate in cross-group activities to build a culture of one team, raising both our engineering capability and technology solutions to drive our strategy.
  • Collaborate with data scientists, engineers, and stakeholders to define and implement technical requirements, translating needs into technical solutions and ensuring the platform's reliability through robust monitoring, logging, and alerting systems.
  • Drive the implementation of CI/CD pipelines to streamline ML model deployment and updates, troubleshoot complex technical issues to minimize disruptions.
  • Develop and maintain comprehensive documentation, including architecture blueprints and best practices, as well as conduct workshops and training sessions to educate and align the team on platform usage and best practices.
  • Stay up-to-date with the latest developments in the field of ML, MLOps, LLMs, GPUs, and related concepts.

Requirements:

  • Proficiency in AWS services such as EC2, ECS, S3, Lambda, Step function, RDS, DynamoDB, IAM, VPC, Route 53, Cloudwatch, and EKS.
  • Proficiency in AWS ML services like SageMaker, AWS Glue, Amazon EMR, and familiarity with AWS Bedrock, Amazon Q services, NVIDIA GPUs, and related frameworks, LLMs.
  • Experience with the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment.
  • Proficient in automation and scripting (Bash, Python).
  • Hands-on experience with infrastructure as code tools like AWS CloudFormation.
  • Proficiency with version control systems like GitHub, GitHub Actions.
  • Expertise in tools like Grafana, Prometheus.
  • Artifactory, Synk, Docker.

About Us:

The Commonwealth Bank of Australia is a leading financial institution that values diversity, inclusiveness, and flexibility. We offer a range of benefits, including flexible work arrangements, professional development opportunities, and a supportive work environment. If you're passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you.

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