Senior DevOps Engineer - Azure AI Platform (Remote)

Amber Labs; Farnham, Manchester; Remoto; GBP 70.000 - 110.000; Tempo pieno

Vantaggi offerti da questo lavoro

25 days annual leave

Private medical insurance

Remote‑first with London office access

Personal training budget

EV scheme after one year

Employer pension contributions

Regular team socials

Referral scheme up to £3,000

AI Centre of Excellence involvement

Descrizione del lavoro

Amber Labs is seeking a Senior DevOps Engineer for a remote‑first role with occasional travel to client sites in Farnham/Manchester. You will design and optimise cloud infrastructure, automation and deployment pipelines, focusing on secure, scalable Azure environments and containerised workloads.

You will own CI/CD pipelines, Infrastructure as Code, and Kubernetes deployments, collaborating with Data and MLOps engineers to enable reliable data platforms and AI/ML workloads while upholding

Competenze

• Extensive hands-on Azure and enterprise cloud infrastructure experience.
• Proven ability to design and implement CI/CD pipelines and IaC at scale.
• Strong understanding of security, governance and compliance in cloud setups.

Mansioni

• Design, implement and optimise cloud infrastructure and deployment pipelines.
• Own CI/CD pipelines, Infrastructure as Code and containerised deployments on Azure.
• Ensure security, resilience, scalability and governance alignment.
• Collaborate with data and engineering teams to support AI/ML workloads.
• Lead DevOps best practices and reusable platform patterns.

Conoscenze

CI/CD pipelines

Docker

Terraform

Azure

Kubernetes

Formazione

Bachelor's degree in Computer Science or Software Engineering

Strumenti

GitLab CI/CD

AKS

Azure Key Vault

Prometheus

Grafana

Argo CD

Helm

OpenShift

Descrizione del lavoro

Amber Labs is seeking a Senior DevOps Engineer for a remote‑first role with occasional travel to client sites in Farnham/Manchester. You will design and optimise cloud infrastructure, automation and deployment pipelines, focusing on secure, scalable Azure environments and containerised workloads.

You will own CI/CD pipelines, Infrastructure as Code, and Kubernetes deployments, collaborating with Data and MLOps engineers to enable reliable data platforms and AI/ML workloads while upholding