Infrastructure Engineer

London, United Kingdom
3 weeks ago
Job Type
Permanent
Work Location
Remote
Posted
16 Apr 2026 (3 weeks ago)

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

About the role

We’re looking for an experienced DevOps Engineer to join ourCloud Infra team at Synthesia. Cloud Infra is a group that enables our Product engineers to build, and deploy Synthesia state-of-the-art technologies.

You can expect to work across cloud infrastructure, CI/CD pipelines, observability, and tooling, with autonomy to identify and fix bottlenecks in a fast-moving AI company.

This is a hands-on senior IC role (roughly level 5 scope). You’ll be joining a growing team that’s shifting from enablement to direct execution, and you’ll help shape how we scale our infrastructure over the next year.

What you'll do

  • Maintain and scaleKubernetes (EKS) clusters — managing workloads, deployments, and monitoring at production scale.

  • Manage and evolve ourAWS (and some GCP) cloud environments, balancing reliability, cost, and velocity.

  • Own and improve ourCI/CD systems (GitHub Actions on our self-hosted AWS runners).

  • Define and implementInfrastructure as Code usingTerraform and Terragrunt.

  • Strengthenobservability via Datadog and enable teams to understand their systems in production.

  • Collaborate with Product Engineers to deploy and monitor production services.

  • DriveFinOps practices: vendor management, cost allocation, and financial feedback loops.

  • Contribute to internal tooling, automation, and reporting platforms that improve developer experience.

You’ll thrive in this role if you have:

  • Deep hands-onDevOps / SRE / Platform experience in a SaaS or high-traffic product environment.

  • StrongKubernetes experience - spinning up and managing clusters, not just consuming them.

  • ProvenAWS and or GCP expertise.

  • Proficiency withTerraform / Terragrunt,Linux, andPython scripting.

  • Strong understanding ofCI/CD design patterns.

  • Experience withDatadog or similar observability tooling.

  • Comfortable operating autonomously inambiguous environments.

  • A pragmatic mindset - focusing on scalable, maintainable solutions over theoretical perfection.

  • A bias towardexecution and written communication, especially in remote contexts.

Bonus points for:

  • Familiarity withTemporal.io, or workflow orchestration frameworks.

  • Lightfrontend ortooling development experience (React, Node.js).

  • Previous work supporting AI research or data-intensive environments

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible.You can find out more about these principles here.

The hiring process:

  1. 30min call with a technical recruiter

  2. 45min call with engineering lead for Cloud Infra to discuss your past projects

  3. Take-home assignment - does not have a deadline and it is syntax agnostic

  4. 60min technical discussion

  5. 30min call with leadership

Other important info:

  • This is aremote role from an EU country, UK or Switzerland or hybrid from one of our London, Munich, Copenhagen, or Zurich hubs.

  • This is full-time employment only -no contractors possible - usually through OysterHR or a local entity.

  • We only sponsor visas if you are in the UK or some EU countries already.

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Principal Machine Learning Infrastructure Engineer

PhysicsX London, United Kingdom

Senior Software Engineer, Infrastructure

OpenAI United Kingdom
Permanent

Senior Simulation Data Engineer

PhysicsX London, United Kingdom

Senior IT Infrastructure & Network Engineer

Luminance Cambridge, United Kingdom
Hybrid

Senior Software Engineer - Platform Operations

PhysicsX London, United Kingdom

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.