AI Platform Engineer: Scalable Backend for AI/ML

• Design, develop and improve software, utilising various engineering methodologies.
• Development and delivery of high-quality software solutions using industry-aligned programming languages, frameworks, and tools.
• Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers.
• Collaboration with peers, participate in code reviews, and promote code quality and knowledge sharing.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices.

Requirements

• Proven experience in Python engineering, with a focus on backend and infrastructure tooling.
• Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock).
• Experience scaling platforms for AI/ML workloads and integrating generative AI tooling.
• Understanding of secure software development, cloud cost optimization, and platform observability.
• Ability to communicate complex technical concepts clearly to technical and non-technical audiences.
• Demonstrated capability to guide engineering teams and influence technical strategy.

🔍 ATS Optimization Keywords
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Hard Skills

• Python
• backend development
• infrastructure tooling
• unit testing
• secure coding practices
• cloud cost optimization
• platform observability
• AI/ML workloads
• generative AI tooling

Soft Skills

• cross-functional collaboration
• communication of technical concepts
• guiding engineering teams
• influencing technical strategy