Cloud Support Engineer
Thought Machine is hiring a Cloud Support Engineer in Singapore, Singapore. Level rates it ; you can apply on Thought Machine.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level lists 37 other open roles at Thought Machine.
AI in this role
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.
The Cloud Support Engineers are a global team, operating a 24/7 shift pattern working closely with our Clients, Client Success Managers, Client Delivery Teams and Engineering. Our Cloud Support Engineers perform the crucial task of providing world class support and ongoing maintenance for our clients, operating at a comprehensive technical level to validate and triage technical issues received from clients, perform initial diagnostics and engage our engineering support team to resolve incidents within the agreed service levels.
Cloud Support Engineers will also assist clients during the full lifecycle of the product from cloud infrastructure provisioning, product installation to production rollout and ongoing support, managing client communications 24x7 to proactively engage clients on identified incidents along with responding to client issues and ensuring a speedy resolution.
Duties
Being part of a multi-region Cloud Support Engineer shift pattern to ensure global 24x7 client coverage
Understanding, investigating and resolving client technical queries and issues
Validating core infrastructure, platform and banking layer issues
Reviewing logs, alerts, traces to spot anomalies and progress investigations
Analysing internal and client-hosted observability tools
Owning assigned tickets and ensuring clients are updated on the incidents’ progress, timeframes and resolution plans
Working with L3 engineering support in line with agreed service levels
Collaborating with the wider engineering teams, obtaining a deep technical understanding of Vault and associated roadmap
Provisioning cloud infrastructure from account creation through to production cluster management for our SaaS product
Performing major and minor product upgrades and releases for our SaaS product
Assisting clients with installing and configuring the product following best practices
Working with Engineers and Client Success Managers to conduct root cause analysis on technical issues
Essential
Hands-on experience with Kubernetes or other container orchestration tools such as OpenShift or Docker Swarm
Providing technology support into financial institutions, or enterprise firms
Ability to explain technical concepts to technical and non-technical stakeholders
Experience analysing monitoring tools, generated logs and associated dashboards, with the ability to independently spot trends and identify patterns within these items
Able to create utilities to analyse log dumps
Desire and ability to learn and work with engineers to resolve issues and evolve the technical aspects of Vault
Linux / sys-admin experience
Strong understanding of cloud infrastructure and distributed systems
Desirable
Fluency in Thai or Vietnamese is desirable
Hands-on experience with containerised applications and microservices and ability to easily articulate these concepts
Exposure to CI/CD pipelines such as Jenkins, ArgoCD etc.
Proficiency with languages such as Python, Go, etc.
Familiarity with CSPs such as AWS or GCP and a good level of exposure to their admin consoles and other facilities
Familiarity with A.I. tooling and workflows
A role within client-facing support, integration, implementation engineering or solution architecture roles, in B2B software product companies
Benefits
Highly competitive salary
Bonus incentive
Healthcare
25 days holiday and public holidays
Competitive maternity and paternity leave
$1,500 SGD per year flexible spend benefit
All the latest tech you need
A talented and experienced team as your colleagues
An environment where we encourage learning and progress
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.
How we rate this
Cloud Support Engineer at Thought Machine rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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