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Salary
$92k – $100k per year
Location
Remote (United Kingdom)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Sep 27, 2026.

Overview
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Profile match
Genio creates beautifully simple learning tools that boost knowledge, skills and confidence. Trusted by over 1,000 institutions globally.

Join Genio as a Senior Platform Engineer, where you will play a key role in shaping the strategy for our infrastructure from design to production. You will work closely with engineering teams to enhance platform capabilities, optimize performance, and champion DevOps principles. Your responsibilities will include architecting and optimizing cloud infrastructure, implementing monitoring and alerting capabilities, leading incident responses, driving automation, and raising the technical capability of other teams. You will report to the Principal Platform Engineer and collaborate with various teams across the organization. Enjoy a range of benefits, including generous annual leave, flexible working hours, and a health cash plan.

Missions

  • Architect and optimize cloud infrastructure to ensure scalability, security, and resilience, while shaping long-term infrastructure strategy.
  • Drive the design and implementation of best-practice cloud infrastructure, automation frameworks, and tooling that enable scalability, reliability, and efficiency for engineering teams.
  • Lead incidents and post-incident learning, support as an incident lead for PlatformOps, coordinate the response, run blameless post-incident reviews, and track actions to completion.

Profil recherché

- Infrastructure as Code: Proficient with Terraform for infrastructure automation

- Systems design and judgement: Takes an ambiguous problem, defines options, makes trade-offs explicit, and writes clear design documents

- Kubernetes in production: Experience operating, upgrading, networking, and debugging Kubernetes clusters under load

- Reliability Engineering & Security: Proven ownership of production service reliability (defining SLIs, incident response) and implementing security practices (access control, secrets management, patching, backup/recovery)

- Cloud Platforms: Strong experience with AWS or Google Cloud

- Programming Skills: Strong experience in scripting and programming with Python and/or Bash for automation and tooling

- AI-Assisted Development: Comfortable and proficient with AI development tools as part of everyday engineering

- Cost Awareness: Understanding of infrastructure costs and the ability to build cases for spending changes

- Collaboration & Adaptability: Ability to mentor others, foster trust, make pragmatic technology choices, and communicate with "passionate views, loosely held"

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