Senior AI Platform Engineer

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$114,400.0 - $124,800.0

Working hours

Regular working hours

Job source

www.juju.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Microsoft Azure Databases Relational Databases Software Debugging Github Identity and Access Management Python (Programming Language) Key Management Azure Machine Learning

+10 more

Data Logging Delivery Pipeline Backend Git Fastapi AI Platforms Infrastructure Automation Frameworks Machine Learning Operations Restful APIs Terraform

Requirements

Collaborate with other IT teams (e.g.

security

cloud etc.) to deliver a reliable

secure and easy-to-use AI platform for teams to use.

SkillsCore skills include Python and asynchronous REST API development using FastAPI

relational database design

and infrastructure automation using Terraform.

Strong Microsoft Azure experience is required

including identity and access management

secrets management and private networking

alongside Git

GitHub Actions

CI/CD pipelines

and automated testing.

Strong troubleshooting

debugging

and error-handling skills

with experience implementing effective logging

monitoring

and observability practices

are also required.

Familiarity with Azure Machine Learning Microsoft Foundry and MLOps practices is a plus.

Desired background Demonstrated experience delivering production backend services

cloud platforms

or self-service infrastructure tooling

ideally supporting AI and machine learning teams.

Strong hands-on experience with Microsoft Azure and Infrastructure as Code using Terraform is required; experience in energy

utilities

or other regulated enterprise environments is a plus.

Able to own end-to-end feature delivery across APIs

databases

infrastructure

and deployment pipelines

while maintaining and improving an existing codebase.

Experienced in collaborating with security cloud and networking teams to meet enterprise requirements.

Produces maintainable

well-tested code

clear technical documentation and handovers

and can effectively communicate architecture decisions and technical trade-offs to both technical and non-technical stakeholders.

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Role details

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Requirements

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