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Cloud Support Engineer

Requirements

  • 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

Nice to Haves

  • 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

What You'll Be Doing

  • 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

Perks and 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
AI Summary ✨
Thought Machine logo

Thought Machine

Greater London, UK

Experience: Mid-level
Posted: December 30, 2025
Last seen: 26 minutes ago
Aws
Docker
Gcp
Golang
Kubernetes
Python
Terraform
backend

Why we track Thought Machine

Thought Machine is a London-based fintech building cloud-native core banking infrastructure. Their platform Vault powers banks around the world. The engineering is technically deep—distributed systems, financial transaction processing, and cloud infrastructure at scale.

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