Platform Engineer / DevOps (AI / ML)

Europe-Leading Media Technology Company; Norwich; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A prominent media technology firm in the UK is seeking a hands-on DevOps/Platform Engineer to take ownership of their production infrastructure and evolve it for scalable growth. You will design and implement Kubernetes, develop CI/CD pipelines, maintain distributed systems, and manage hybrid environments. Ideal candidates should have strong Linux skills and experience with object storage. This role requires problem-solving capabilities and a proactive approach to improving systems.

Benefits

Fast-paced work environment

Opportunities for ownership and responsibility

Qualifications

• Strong experience running distributed systems in production.
• Comfort operating hybrid environments across on-prem and cloud.
• Solid understanding of object storage patterns, especially for large assets.

Responsibilities

• Take ownership of production infrastructure and evolve it as the platform scales.
• Design and roll out Kubernetes focusing on reliability and operational clarity.
• Build and maintain CI / CD pipelines that enable frequent, safe releases.
• Support storage and data systems, including S3-compatible object storage.
• Handle incidents, post-mortems, capacity planning, and disaster recovery.

Skills

Running distributed systems

Hands-on experience with Kubernetes

Hybrid environment operations

High-availability systems

Solid understanding of object storage

Strong Linux fundamentals

Tools

Terraform

Pulumi

PostgreSQL

Job description

Overview

We’re a UK-headquartered, European-wide media technology company with a profitable core business and a fast-growing consumer-facing video platform. We operate across the UK and Europe and compete in a market dominated by far larger, slower-moving incumbents. We win by moving faster, taking responsibility, and executing decisively. Pace matters here. Outcomes matter. Momentum matters.

We run a high-ownership, high-intensity environment. People go beyond what’s expected because they care deeply about the work and the impact it has. This role is for someone who is comfortable carrying real responsibility for production systems and making decisions that matter.

Alongside our core business, we are scaling a consumer social / film-based platform with meaningful early traction. The technical challenges span video, storage, distribution, ML workloads, and reliability at scale.

We’re now looking for a DevOps / Platform Engineer to take ownership of our infrastructure and production platform as we prepare for the next order of magnitude of growth.

The role

This is a hands-on role for someone who wants to be close to production reality. You’ll be responsible for evolving our infrastructure to be faster, more reliable, and more scalable, while keeping operational quality high.

Our platform today runs on distributed systems with object storage, CDN-first delivery, high-throughput video pipelines, and GPU-backed ML workloads. We operate a hybrid environment across on-site and off-site infrastructure. Kubernetes is not yet fully rolled out in production, but it is a near-term priority, and this role will play a key part in designing and enabling that transition.

What you’ll be working on

Horizontally scalable, stateless services designed for 10×–100× growth

CDN-first delivery, with edge-heavy and origin-light architectures

Object-storage-centric systems and migration away from filesystem-based storage

High-throughput video pipelines: ingestion → processing / transcoding → storage → delivery

Hybrid infrastructure: on-site and off-site / cloud

GPU-backed AI / ML workloads in production, including video enhancement and embedding pipelines

Multi-region architecture with GDPR and EU / UK data residency considerations

Increasing use of frontier AI tooling within the platform layer, including interest in multi-step / agentic patterns where they add real leverage

Transitioning the platform towards Kubernetes as a first-class production orchestration layer

What you’ll do

Take ownership of production infrastructure and evolve it as the platform scales

Design and roll out Kubernetes thoughtfully, focusing on reliability, debuggability, and operational clarity rather than novelty

Build and maintain CI / CD pipelines that enable frequent, safe releases

Manage infrastructure using IaC (Terraform, Pulumi, or equivalent), keeping environments repeatable and auditable

Build strong observability: metrics, logging, tracing, alerting, dashboards, and runbooks that are actually used

Support storage and data systems, including S3-compatible object storage and PostgreSQL at scale

Support media and ML workloads, including video transcode pipelines and GPU-backed inference

Handle incidents, post-mortems, capacity planning, and disaster recovery with a focus on eliminating repeat failures

What we’re looking for

Strong experience running distributed systems in production

Hands-on experience with Kubernetes, or experience owning the move from non-Kubernetes infrastructure into Kubernetes

Comfort operating hybrid environments across on-prem and cloud

Experience running high-availability systems and being on the hook when things break

Solid understanding of object storage patterns and trade-offs, especially for large assets

Strong Linux fundamentals and comfort working close to real hardware when required

Strong plus

Experience with video platforms: ingestion, transcoding, streaming protocols (HLS / DASH), and delivery optimisation

PostgreSQL at scale, including replication, tuning, and failover

GPU / ML infrastructure experience, including inference pipelines and performance trade-offs

Experience building or operating agentic / multi-step systems in production

Experience working within GDPR and EU / UK data residency constraints

How we work

We move fast and take ownership. We’re a small, focused team competing against much larger players by executing decisively. This role suits someone who takes responsibility end-to-end, enjoys solving messy production problems, and wants to actively improve systems rather than simply maintain them.

• This is not a role for someone looking to optimise for comfort. It is a role for someone who wants to build leverage, raise the ceiling, and be deeply involved as the platform scales.