Cloud Support Engineer

Thought Machine
London, United Kingdom
5 months ago
Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
10 Dec 2025 (5 months ago)

Benefits

Employee share package High Glassdoor rating Fantastic workplace culture

Thought Machine’s mission is bold – to properly and permanently rid the world’s banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology.

We have grown rapidly in the past few years – growing our team to more than 550 individuals across offices in London, New York, Singapore and Sydney. We have raised more than $500m in funding and are now valued at $2.7bn. Our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more.

We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world’s most innovative fintechs byGlobal Finance Magazine, we were also recognised by theFinancial Times as one of Europe’s fastest-growing companies for two consecutive years—and a UK Best Employer for 2026.

As a Cloud Support Engineer at Thought Machine, you're stepping into a technical role that goes well beyond incident response. At this level, you're expected to own, influence and elevate how we deliver support globally, across both our hosted SaaS product and bank-hosted Vault deployments. You'll not only handle our most complex technical issues, but also shape tooling and processes, partnering closely with Engineering and Product teams to drive continuous improvement across the platform.

You bring a deep understanding of cloud-native systems and distributed architecture, and will become a domain expert in Vault Core. This is a highly visible role where your technical judgement, leadership and strategic problem-solving will directly impact client outcomes and platform quality.


Duties

  • Lead the investigation and resolution of high-priority or complex incidents, coordinating with engineering and delivery teams to drive timely solutions

  • Own escalations end-to-end, providing technical depth, structure and calm during high-pressure client situations

  • Develop and refine tools, dashboards and automation to improve support delivery, observability and onboarding

  • Identify recurring issues, propose and lead solutions that improve platform stability, reduce effort and enhance client experience

  • Contribute to internal documentation, playbooks and root cause analysis reports, with a focus on accuracy and knowledge sharing

  • Support both hosted and self-managed deployments of Vault, collaborating with client teams on best practice configurations

  • Actively shape the evolution of our support model, platform tooling and processes across regions

Essential

  • 3+ years of experience in technical support, cloud infrastructure or SRE/DevOps roles, ideally within high-scale, client-facing environments

  • Deep experience with incident management, root cause analysis and production troubleshooting

  • Strong Linux systems knowledge, including filesystems, networking and system internals

  • Programming skills in Golang and Python and experience with infrastructure tools or observability stacks (e.g. Grafana, Prometheus, EFK)

  • Confidence in working with cloud-native platforms and tools (e.g. Kubernetes, Terraform, AWS/GCP, Docker)

  • Excellent communication skills under pressure, being able to influence across client, product and engineering boundaries

  • Demonstrated ability to lead without authority; especially in escalations, cross-functional collaborations and mentoring

  • A drive to raise the standard for support and build systems that scale sustainably

Desirable

  • Experience deploying or supporting self-managed software in client cloud environments

  • Exposure to core banking, payments or financial services infrastructure

  • Familiarity with gRPC, protobuf or service-to-service communication patterns

  • Open-source contributions or evidence of self-driven learning in cloud, infra or backend tooling

  • Experience contributing to support process design or automation initiatives

Benefits

  • Highly competitive salary and commission

  • Pension plan (match up to 5%)

  • Life insurance (3x annual salary)

  • Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid)

  • Shared parental leave (matched to our maternity leave for the same point in time)

  • 25 days holiday and bank holidays

  • Flexible working hours

  • Cycle-to-work scheme

  • Electric car scheme

  • Season ticket loan

  • Access to outstanding learning materials and courses

  • Sports and hobby clubs, subsidised by Thought Machine

  • All the latest tech you need

  • Start the day properly with fresh fruit and cereals

  • Huge range of healthy (and not-so-healthy) snacks, smoothies and drinks

  • A talented and experienced team as your colleagues

  • An environment where we encourage learning and progress

  • Two charity days a year

  • Weekly food pop-up

We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer (Forward Deployed)

Mind Foundry Oxford/ Hybrid, Oxfordshire, United Kingdom
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

Cloud Support Engineer

Thought Machine London, United Kingdom
Hybrid

Global Head of Production Support

Thought Machine London, United Kingdom
Hybrid

IT Support Engineer

Thought Machine Lisbon, Portugal
On-site

Engineering Programme Manager

Thought Machine London, United Kingdom
Hybrid

Senior Software Engineer, Chem-Bio

AI Security Institute London, United Kingdom
On-site Clearance Required

Senior FEA Engineer

PhysicsX United Kingdom

Industry Insights

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

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

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

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.