Infrastructure Engineer (AI)

TL;DR

Infrastructure Engineer (AI): Building and optimizing robust, secure, and scalable cloud infrastructure for AI and ML workflows with an accent on designing and deploying cutting-edge data and machine learning solutions. Focus on solving complex challenges in cloud infrastructure, enabling data scientists and ML engineers, and integrating best open-source technologies.

Location: Hybrid (2 days in office, London)

Company

hirify.global is a company established in 2014 that partners with global customers to transform their performance through human-centric AI solutions in various sectors including life sciences.

What you will do

• Build robust, secure, and scalable cloud infrastructure for AI and ML workflows.
• Partner with technical and non-technical stakeholders from idea generation through to implementation and shipping.
• Enable Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repositories.
• Proactively identify and recommend new ways customers can leverage cloud infrastructure to solve their key challenges.
• Create and maintain reusable, company-wide libraries and infrastructure-as-code.
• Research and integrate the best open-source technologies to enhance infrastructure capabilities.

Requirements

• Possess deep experience with both Azure and AWS.
• Proficient in Infrastructure as Code, especially Terraform.
• Experienced in building and deploying containerized solutions using Docker and Kubernetes.
• Skilled in strong CI/CD and GitOps practices.
• Possess proficient knowledge of Networking and Cloud Security.
• Excel at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning, and scoping.

Culture & Benefits

• Unlimited Annual Leave Policy.
• Private healthcare and dental.
• Enhanced parental leave.
• Family-Friendly Flexibility & Flexible working options.
• Sanctus Coaching for personal development.
• Hybrid Working model with 2 days in the Old Street office, London.

Hiring process

• Talent Team Screen (30 minutes).
• Pair Programming Interview (90 minutes).
• System Design Interview (90 minutes).
• Commercial Interview (60 minutes).