Staff Platform Engineer (AI Acceleration)

Eveleigh, NSW - 1 Locomotive Street

Commonwealth Bank

CommBank offers personal banking, business solutions, institutional banking, company information, and more

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  • You are highly experienced in building customer focussed solutions

  • We are a team of big thinkers, who love to push boundaries and create new solution

  • Together we will build tomorrow’s bank today, using world-leading technology and innovation

Do work that matters

The role of Staff Platform Engineer is to Design, Build, Run & Evolve tools, infrastructure, templates and capabilities that our data science community and other engineers use to deliver business value, and to write code that automates running our infrastructure and environments. Collaboratively work with customer facing product owners and platform engineers to design, build and run ‘platforms’ that they can use to deliver customer value at greater quality, velocity, and safety. Help to make our platforms loved by our engineers and data science community! We are keen hear from platform engineers who are passionate about infrastructure as code, software eating the world, LLMs, GPUs and High Performance Compute!

 

Key Responsibilities 

  • Provide strategic technical leadership and mentorship driving best practices for ML platform architecture, deployment and scaling

  • Oversee the design and development of scalable and resilient AI infrastructure with a focus on performance and reliability and architect core components, ensuring performance, reliability, and scalability

  • Create a standardised set of tooling for deploying and running applications and setting them up with best practices.

  • Collaboratively work with customer facing product owners and engineers to design, build and run platforms that they can use to deliver customer value at greater quality, velocity, and safety.

  • Make all platforms entirely self-service, secure, and available within minutes without human approval.

  • Collaborate with data scientists, engineers and stakeholders to define and implement technical requirements. Translate needs into technical solutions and ensure the platform's reliability through robust monitoring, logging, and alerting systems

  • 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 development in the field of ML, MLOps, LLMs, GPUs and related concepts

  • R&D on emerging AWS technology.

 

We’re interested in hearing from people who

  • Is an expert at the Full Cycle model, where engineers are involved in Design, Build, Change, and Run

  • Have a passion for designing, developing, deploying and running high quality modern machine learning platforms.

  • Contributes to a culture where quality, inclusiveness and excellence are championed.

  • Have a natural drive to educate, communicate and positively influence various stakeholder groups including high level executives.

 

Tech Skills

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team;

AWS Services: In depth knowledge of AWS services such as EC2, ECS, S3, Lambda, Step function, RDS, DynamoDB, IAM, VPC, Route 53, Cloudwatch, EKS

ML Services: Expertise in AWS ML services like SageMaker, AWS Glue, Amazon EMR. Familiarity with AWS Bedrock, Amazon Q services, NVIDIA GPUs and related frameworks, LLMs.

Model Lifecycle: Experience with the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment

Scripting: Proficient in automation and Scripting (Bash, Python).

IaC Tools: Hands-on experience with infrastructure as code tools like AWS CloudFormation,

Version Control: Proficiency with version control systems like Github, Github Actions

Monitoring & Observability: Expertise in tools like Grafana, Prometheus

Engineering Tooling: Artifactory, Synk, Docker

 

Working with us

At CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation Read more about our commitment to inclusion and diversity.

If you're already part of the Commonwealth Bank Group (including Bankwest), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We’re committed to being an accessible employer and want to make finding your dream job as easy as possible. If you experience any accessibility issues or if you require additional support please contact HR Direct.

We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few. Talk to us about how these arrangements might work for you.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 30/10/2024
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS AWS Glue CloudFormation Docker DynamoDB EC2 ECS Engineering Feature engineering GitHub Grafana Lambda LLMs Machine Learning ML infrastructure MLOps Model training Python R R&D SageMaker

Perks/benefits: Career development Equity / stock options Flex hours

Regions: Asia/Pacific Europe

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