Azure Cloud AI Platform Engineer

AVEVA

Cambridgeshire and Peterborough

Hybrid

GBP 60,000 - 90,000

Full time

4 days ago
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Benefits offered by this job

Pension
Private medical insurance
Life cover
Parental leave

Job summary

AVEVA is seeking a Software Engineer to join the Core AI Services team in Cambridge. You will design, develop, and scale AI-enabled platform services and public APIs that are secure, reliable, and cloud-native.

You will work in an agile Scrum team delivering production-grade AI capabilities with a startup mindset. Ideal candidates have 2+ years in software engineering, experience with RESTful APIs, security practices, and deploying cloud-native services using Docker/Kubernetes on Azure, and a

Qualifications

  • Minimum 2 years of professional software engineering experience, preferably in platform or cloud-native service development.
  • Strong understanding of RESTful API design, versioning, testing and lifecycle management.
  • Experience securing APIs, authentication/authorization and data privacy practices.
  • Practical experience deploying scalable cloud-native services with PaaS, Docker and Kubernetes.

Responsibilities

  • Build scalable, fault‑tolerant cloud‑native services on Microsoft Azure.
  • Develop and refine secure, well‑documented public APIs and SDKs using ASP.NET Core and C#.
  • Collaborate with cross‑functional teams to deliver end‑to‑end solutions across data pipelines, orchestration, and service APIs.
  • Embed robust security controls to protect sensitive data and ensure secure access to AI services.
  • Participate in design reviews, code reviews, and implementation discussions to ensure engineering excellence.

Skills

RESTful API design
ASP.NET Core
C#
Azure
Docker
Kubernetes
Security practices
Cloud-native
Agile
Problem solving

Tools

Azure
Docker
Kubernetes

Job description

AVEVA is seeking a Software Engineer to join the Core AI Services team in Cambridge. You will design, develop, and scale AI-enabled platform services and public APIs that are secure, reliable, and cloud-native.

You will work in an agile Scrum team delivering production-grade AI capabilities with a startup mindset. Ideal candidates have 2+ years in software engineering, experience with RESTful APIs, security practices, and deploying cloud-native services using Docker/Kubernetes on Azure, and a

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