Senior Containerized Solutions Architect

EngineersOfAI; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

EngineersOfAI is looking for a Senior Solutions Architect specializing in containerized solutions to lead the deployment of these solutions in customer environments. This role will be pivotal in ensuring customers maximize their use of Celonis features like process mining and task mining.

The ideal candidate has over 5 years of experience and solid expertise in deploying containerized applications on Kubernetes, alongside the ability to translate technical requirements into successful deployments.

Qualifications

• Proven experience of 5+ years, with at least 3 years in deploying and managing containerized applications on Kubernetes.
• Advanced knowledge with at least one specific Kubernetes distribution (Amazon EKS, Azure AKS, etc.).
• Eligibility for UK Security Check (SC) is required.
• Very good understanding of best practices in deploying, scaling, and maintaining secure containerized applications on Kubernetes.
• Fluency with additional tools such as Ansible is a plus.

Responsibilities

• Lead the deployment of containerized solutions within customer environments.
• Drive the technical setup for leveraging Celonis features.
• Establish real-time data integrations between customer systems and Celonis.
• Remove technical obstacles to maximize user adoption of Celonis.

Skills

Containerized applications

Kubernetes

Infrastructure as Code (IaC)

Python

SQL

Education

5+ years in technical roles

Certification in Kubernetes or major cloud platforms

Tools

Terraform

ArgoCD

Jenkins

Job description

EngineersOfAI is looking for a Senior Solutions Architect specializing in containerized solutions to lead the deployment of these solutions in customer environments. This role will be pivotal in ensuring customers maximize their use of Celonis features like process mining and task mining.

The ideal candidate has over 5 years of experience and solid expertise in deploying containerized applications on Kubernetes, alongside the ability to translate technical requirements into successful deployments.