Head of Platform Engineering

Job Title: Head of Platform Engineering

Salary: DOE

Role Type: Hands-on leadership: around 80% technical, 20% leadership

About IMP

At IMP, we help Multi-Academy Trusts take control of their finances. Our MAT-first software is built by people who know the sector: former trust professionals, finance experts and product specialists. More than half of all MATs in the UK use IMP to plan with confidence and make smarter decisions.

We're independent, founder-led and growing fast. Investor-backed and ranked one of the UK's Top 25 Great Places to Work for mid-sized companies, we're investing significantly in R&D to build the next generation of our platform, one that scales across a growing suite of products.

The Opportunity

We're moving from an Azure PaaS .NET estate to a modern, modular, AI-first platform, built with small agentic delivery teams and designed to scale across multiple products.

The Head of Platform Engineering makes that possible. You'll own cloud infrastructure, CI/CD, observability, security, and reliability, and, just as importantly, the developer platform and guardrails that let our AI-first squads ship significant change quickly and safely.

This is a hands-on leadership role (around 80% technical, 20% leadership). You'll inherit a small DevOps team and develop it into a high-impact Platform Engineering function. You'll report to the CTO and work as a peer with the Head of Engineering and Lead Architect.

The Role

Platform and developer experience

• Own Azure infrastructure end to end: subscriptions, networking, edge (Azure Front Door with WAF and CDN), Azure Container Apps, ingress, secrets, identity, and the base services everything sits on

• Standardise infrastructure-as-code using Terraform/OpenTofu, with all changes Git-driven, reviewable and increasingly AI-assisted

• Build a self-service developer platform that abstracts infrastructure complexity so engineering teams can focus on their products: service templates, starter repos, CI/CD pipelines and deployment automation

• Create the guardrails that let AI-first teams move at speed without losing control: policy-as-code, automated quality gates and security scanning in pipelines

• Work closely with the Lead Architect and the Architecture Working Group on platform architecture choices and create/maintain suitable platform documentation.

Reliability, observability and cost

• Design, build and operate deep observability and alerting across the platform, so problems are spotted and triaged early

• Set and operate to clear platform/infrastructure reliability and performance targets, with a proactive approach to capacity management

• Lead platform incident management: act as incident commander when needed, run blameless post-mortems and make sure remediation lands

• Design for high availability and disaster recovery, with rehearsed recovery procedures

• Own cloud and AI cost governance: spend, environment hygiene, and visibility on model and agent usage

Security

• Own the platform security posture end to end: identity and access, network segmentation, secrets, data protection, and vulnerability management, working with the Head of IT on corporate-side controls and cross-boundary incidents

• Enforce zero-trust and private-by-default across the platform: managed identities everywhere, no long-lived keys or passwords, private networking with edge-only public entry, and least privilege as the default

• Embed security into pipelines and infrastructure: SAST, DAST, SCA, IaC scanning, container image scanning, secrets scanning, and policy-as-code gates that block on critical findings

• Own vulnerability management and threat detection for the platform: patching SLAs, CVE triage, Microsoft Defender for Cloud, security event aggregation, and evidence for audit and compliance (Cyber Essentials, UK GDPR) in partnership with the Head of IT

• Design guardrails for AI-specific security risks: prompt injection defence, agent permission boundaries, and preventing model exposure to sensitive tenant data

Leadership

• Manage and develop the existing DevOps team, growing it into a high-impact Platform Engineering function

• Set the operating model: how the Platform team works with product squads, what it owns, and how it prioritises

• Shift the culture from ticket-taking DevOps to Platform as a Product, serving internal customer teams

What Success Looks Like

• Platform reliability: uptime against agreed SLOs is met, platform-caused incidents trend down, MTTR is short, and the incident management rota is sustainable.

• Speed of safe change: infrastructure-as-code coverage approaches 100%, teams can stand up new services on the paved road in days, not weeks, and most do so without bespoke help.

• Cost discipline: cloud spend is predictable and within budget, with clear visibility into per-product and per-tenant costs, model and agent spend, and unit economics that improve over time.

• Security and compliance: critical vulnerability SLAs are met, secrets rotation and access reviews run on cadence, DR exercises are completed, and we go into audits without surprises.

• Platform adoption: a measurable percentage of services run on the paved road, self-service capabilities expand quarter on quarter, and the team spends more time building improvements than firefighting tickets.

• Team and capability: the DevOps team evolves into a high-impact Platform Engineering function, enabling us to hire and retain platform talent.

• AI-first as the norm, not an experiment: infrastructure-as-code, deployments and routine platform work are built and maintained through agentic workflows under human review, manual toil shrinks every quarter with no loss of quality or control, and the platform team is the visible example of how AI-first engineering works at IMP.

What You'll Bring

Essential

• 5+ years running production SaaS systems, including incident ownership and response

• Expert in Azure as our core cloud, with hands-on experience across Azure Container Apps, Azure Database for PostgreSQL and SQL Server, Azure Front Door (with WAF, CDN and managed certificates), Azure Service Bus, Cache for Redis, Key Vault, App Configuration, Blob Storage and Application Insights

• Strong containerisation skills and Azure networking, with hands-on experience of Azure Container Apps (or equivalent managed container platforms)

• Expert in infrastructure-as-code using Terraform/OpenTofu, with Azure DevOps and Git-based workflows

• Strong observability and alerting: hands-on with OpenTelemetry and Application Insights, able to design, build and operate the depth of telemetry needed to run a mission-critical SaaS platform, with a proactive approach to capacity management

• Hands-on experience with AI developer tooling (Claude Code, Copilot, Codex or similar), with a clear view on where AI accelerates platform work and what guardrails matter

• Hands-on with multi-tenant SaaS isolation patterns (row-level security, shared-schema tenant partitioning, per-tenant storage containers, tenant-scoped cache keys)

• Deep security experience for cloud SaaS: identity and access, network segmentation, secrets management, pipeline security (SAST, DAST, SCA, image and IaC scanning), vulnerability management and threat detection. Secure-by-design mindset, comfortable being personally accountable for the platform’s security posture

• Track record of managing a team’s workload while mentoring and growing engineers

• Strong communicator, comfortable working with product, engineering leadership and senior stakeholders

Nice to have

• Policy-as-code experience (OPA, Azure Policy, Sentinel)

• Experience navigating compliance frameworks (Cyber Essentials, ISO 27001 or SOC 2) as part of a platform team

• Software supply chain security: SBOM, signed builds, image provenance, and dependency policy

• Background migrating from PaaS to container-based architectures

• .NET application hosting and deployment patterns

• Building or transforming platform teams from the ground up

• Familiarity with Dapr, KEDA or event-driven container workloads, plus Kubernetes background (useful since ACA runs on Kubernetes underneath)

Being a Legend at IMP

At IMP, we look for people who embody what it means to be a legend at work:

• Owns it. Sees what needs to be done and acts without waiting to be asked.

• Gets it done. Starts, ships, improves. Doesn't walk past problems.

• Can be counted on. Consistent, high-quality work, and owns their mistakes.

• Raises the bar. Always finds a better way and uses the best tools to do it.

• Lifts the team. Makes colleagues, customers and the business better, without ego.

What We Offer

• Competitive salary and benefits package

• Fully remote role

• The chance to build and shape a platform engineering function at a pivotal moment for the business

• Funded CPD and professional development

• Regular team socials and company events

• Work with a passionate team solving real problems for the education sector