Lead Platform Engineer at NEVER.NO UK LTD – Manchester, England

Are you a senior engineer who thrives on enabling teams to deliver faster, safer, and more consistently? Dizplai is seeking an experienced and hands-on Lead Platform Engineer to join our growing engineering team.

This is a senior, enablement-focused role where you'll shape and improve the shared platform capabilities that help our squads deliver with speed and confidence. You'll lead the evolution of our AWS and engineering foundations, covering cloud infrastructure, account and environment management, deployment patterns, security guardrails, observability, automation, and developer experience. You'll combine deep technical expertise with broad organisational influence, helping set the direction for how we build, operate, and scale software reliably.

A key part of this role is ensuring our organisation is set up to adopt AI safely, efficiently, and at scale. You'll define the right tooling, controls, reusable patterns, and platform standards so teams can use AI effectively without compromising security, quality, compliance, or cost.

This isn't about becoming a delivery bottleneck or gatekeeper. It's about enabling squads through strong reusable foundations, sensible standards, strategic platform leadership, and practical support.

Shape Platform Strategy & Foundations: Define and drive the platform engineering strategy in line with business, technology, security, and delivery goals. Design, build, and evolve shared platform capabilities that support product and delivery teams, reducing duplication through sensible standardisation, automation, and internal platform tooling.

Lead AWS Platform Enablement: Own and improve AWS platform patterns across accounts, environments, access models, and organisational guardrails. Define repeatable cloud approaches for infrastructure, identity, networking, secrets, compute, and storage, helping teams operate safely and efficiently without slowing delivery.

Enable Safe, Fast Delivery at Scale: Improve the platform so squads can ship changes with greater speed and confidence. Support deployment patterns, release workflows, and engineering guardrails that reduce risk and improve consistency. Build self-service capabilities where the preferred approach is the easiest to use.

Enable AI-First Engineering Safely: Create the platform foundations that allow teams to adopt AI effectively across engineering and operational workflows. Establish reusable approaches for AI services, model integrations, and agent-based workflows, supporting safe and scalable AI usage through strong patterns for access, governance, and cost awareness.

Strengthen Security, Observability & Operational Readiness: Improve platform standards across security, CI/CD, observability, reliability, and operational readiness. Embed secure-by-default and operable-by-default patterns into engineering workflows, improving logging, metrics, alerting, tracing, and production visibility across teams.

Improve Developer Experience & Engineering Culture: Reduce friction in day-to-day engineering workflows by improving tooling, automation, templates, and platform usability. Promote a culture of enablement, shared ownership, and continuous improvement, helping embed a platform mindset where common problems are solved once and reused widely.

• Strong hands-on experience in platform engineering, DevOps, cloud infrastructure, or SRE-style work.
• Strong practical AWS experience across infrastructure, IAM, networking, deployment patterns, and environment management, including supporting AWS account structures, access models, and cloud guardrails across multiple teams or environments.
• Experience building and improving CI/CD pipelines, infrastructure as code, and shared engineering tooling.
• Good understanding of observability, monitoring, alerting, and production operations, alongside practical knowledge of security, secrets management, secure delivery, and operational controls.
• Experience improving developer experience, standards, or engineering workflows across teams, with a good understanding of how platform design can enable safe and efficient AI adoption.
• Experience influencing technical direction, engineering practice, or platform strategy across teams, with strong collaboration skills, technical judgement, systems thinking, and organisational awareness.
• Desirable: experience with AWS Organisations, multi-account environments, Control Tower, and SCPs; self-service platform patterns and reusable internal templates; reliability engineering, incident management, and FinOps practices; enabling AI or ML tooling, model integrations, or LLM-based workflows; familiarity with Team Topologies and enabling-team principles.

These values guide how we act day to day, who we recruit, and how we all hold ourselves accountable.

• Boundless — Think bigger. Innovate beyond the obvious.
• Purposeful Impact — Focus on meaningful results, not effort.
• Collective Strength — Support each other, challenge each other, grow together.
• Positive Balance — Work with intensity and sustainability.

At Dizplai, we transform passive audiences into active communities that drive culture, conversation, and commerce. We partner with Premier League clubs, global motorsport organisations, Olympic sports federations, leading broadcasters, and multi-million subscriber creator networks across sports and entertainment, helping them turn attention into lasting commercial value.

By combining creative consultancy, interactive technology, and data-driven insights, we help unlock the full commercial potential of audiences. We're at the forefront of the shift where platforms are the new networks, creators are the new media companies, and fans want to belong, not just watch.

We believe in a transparent process designed to put you at ease so you can show us your best work. Here is how we get to know each other:

• Mutual Fit Chat - A conversation to ensure our expectations align. This is a two-way introduction to the role, the company’s direction, and what you’re looking for in your next career move.
• Manager Deep Dive - A focused session with your potential lead. We’ll explore your experience, your technical approach, and how you tackle the types of challenges we face daily.
• F2F Practical Exercise & Culture Peer Session - An in-person visit to our office where you’ll work through a real-world task. This is followed by a session with your potential peers focused purely on cultural alignment, ensuring our values and working styles mesh.
• Next Steps - Following these stages, we aim to provide clear, honest feedback. In some cases, if specific questions arise from the peer session, we may invite you for a final follow-up to ensure we’ve covered everything before making a decision.