Platform Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 26d ago
The date the source published, not the day we noticed it (2026-09-15). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £70.6k–127.4k/yr
Middle 50% of 64 listings that do state pay — Engineering · all levels · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 11h ago · last seen just now
The listing
The company
The Key is the country’s most trusted provider of knowledge and know-how to education leaders determined to make a difference. We provide authoritative, up-to-the-minute sector intelligence, tools, services and resources that give leaders the knowledge to act.
The role
The Platform Engineer designs, operates, and continuously optimises the organisation's cloud-based platform to guarantee high reliability, scalability, and performance. Acting as an operational anchor and developer experience champion, the role automates critical engineering processes, drives system security, and embeds cutting-edge artificial intelligence (AI) agentic coding workflows. By managing core cloud infrastructure and proactive observability, the position enables seamless software delivery and minimises operational downtime across test and production environments.Cloud Infrastructure & Architecture
- Engineer, plan, and deliver scalable cloud infrastructure upgrades and optimisations using Infrastructure as Code (IaC) tools.
- Continuously optimise the Google Kubernetes Engine (GKE) and wider cloud environment to boost efficiency, performance, and overall system resilience.
- Incident Management & Observability
- Own monitoring, alerting, and observability frameworks across production and test environments to proactively identify system defects.
- Lead incident response investigations, execute technical resolutions, and implement post-incident fixes to permanently prevent issue recurrence.
- Developer Experience & CI/CD Support
- Build, maintain, and optimise software delivery and CI/CD pipelines to streamline deployment workflows.
- Troubleshoot and resolve complex operational issues for developers, actively seeking ways to enhance overall developer experience and efficiency.
- Automation & AI Tooling Integration
- Automate manual, repetitive operational tasks to reduce technical debt and maximise organisational efficiency.
- Leverage AI agentic coding tools daily for incident investigation and operational automation, extending internal agent capabilities to benefit the broader engineering department.
- Platform Security & Compliance
- Enforce robust security practices across the platform to safeguard infrastructure in line with industry standards.
- Foster a proactive culture of security awareness and risk mitigation within the engineering team.
- Cross-Functional Collaboration
- Communicate platform changes, technical concepts, and updates clearly to both technical and non-technical stakeholders.
- Coordinate complex operational projects across local and remote teams with high conscientiousness and structured self-organisation.
Requirements
Key success indicators
- Infrastructure availability and uptime across Google Cloud Platform services.
- Reduction in Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) system incidents.
- Percentage of operational tasks automated and successfully integrated into AI agentic workflows.
- Measurable improvement in software delivery deployment frequency and CI/CD pipeline execution times.
- Developer satisfaction scores regarding internal platform reliability and developer tooling.
Required experience and profile
- Demonstrated proficiency with Infrastructure as Code (IaC) tooling, preferably Terraform.
- Practical experience designing, operating, and managing Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE) environments.
- Minimum of 2 years of hands-on experience in designing and managing robust CI/CD platforms.
- Minimum of 2 years of experience using GitHub or equivalent version control systems.
- Genuine enthusiasm for working with AI coding agents and leveraging advanced automation tooling.
- Strong written and verbal communication skills tailored for technical and non-technical audiences.
- High level of conscientiousness, self-organisation, and ability to coordinate multi-stakeholder projects locally and remotely.
Desirable
- Working knowledge of and exposure to the ISO27001 information security standard.
- Hands-on knowledge of database platforms such as MongoDB and PostgreSQL.
- Deep technical understanding of containerisation technologies.
Benefits
We place huge importance on caring for and developing our people. If you join us you can expect a good work-life balance and the training and support you need to succeed in your role and continue to progress. We are a socially conscious company, but one that also likes to have fun. We offer a generous holiday allowance, flexible hours, buying and selling holiday, enhanced maternity pay, free breakfast, fruit, and drinks, regular socials and much more.