TL;DR
Platform Engineer (AI): Building and optimizing robust, secure, and scalable cloud infrastructure for AI and ML workflows with an accent on designing, deploying, and maintaining infrastructure-as-code. Focus on enabling data scientists and ML engineers to effectively deploy their work and solve complex challenges in applied AI.
Location: Hybrid working (2 days in our Old Street office, London). Must be based in London, UK.
Company
hirify.global builds human-centric AI solutions to transform performance for over 350 global customers across government, finance, retail, energy, life sciences, and defence.
What you will do
- Build robust, secure, and scalable cloud infrastructure for AI and ML workflows.
- Partner with technical and non-technical stakeholders from initial idea generation through to implementation.
- Enable Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code.
- Proactively identify and recommend new ways customers can leverage cloud infrastructure.
- Create and maintain reusable, company-wide libraries and infrastructure-as-code.
- Research and integrate open-source technologies to enhance hirify.global's infrastructure capabilities.
Requirements
- Pragmatic and outcome-focused approach, balancing big picture with details.
- Deep experience with both Azure and AWS.
- Experienced with Infrastructure as Code, especially Terraform.
- Experienced in building and deploying containerized solutions using Docker and Kubernetes.
- Strong CI/CD and GitOps practices.
- Proficient knowledge of Networking and Cloud Security.
- Excel at working directly with clients and stakeholders for requirements gathering and technical planning.
Culture & Benefits
- Unlimited Annual Leave Policy.
- Private healthcare and dental.
- Enhanced parental leave and family-friendly flexibility.
- Sanctus Coaching.
- Hybrid working (2 days in our 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).
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