Senior Softw Eng ML/AI Platform Support

Skills:

Strong software engineering experience, with proficiency in Python or a similar language.

Strong experience developing and operating AWS cloud platforms.

Experience with Infrastructure as Code—AWS CDK, CloudFormation or Terraform—and CI/CD.

Experience supporting and troubleshooting production systems, including reliability, security, monitoring and operational practices.

Experience with cloud networking and containerised environments, including Docker and Kubernetes or similar technologies.

Responsibilities

Design, build and maintain ML/AI platform tools supporting Data Science, MLOps and LLMOps workflows.

Build, deploy and support ML and generative AI solutions using SageMaker, Bedrock and related AWS services.

Develop and maintain Infrastructure as Code using AWS CDK and CloudFormation.

Build and maintain CI/CD pipelines.

Implement monitoring, logging and observability.

Apply automated testing, code reviews, continuous integration and security best practices.

Collaborate with architects, product managers and engineers to deliver secure, scalable and maintainable platform capabilities.

Support platform architecture and engineering standards.

Share knowledge through mentoring, documentation, pair programming and technical discussions.