Cloud Support Engineer

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, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and 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 by Global Finance Magazine, we were also recognised by the Financial 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.

• 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

• 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

• 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