Senior SRE: Cloud-Scale, Fault-Tolerant SaaS Engineer

Thought Machine

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Employee share package

Job summary

Thought Machine seeks a highly capable software engineer to join our London-based Engineering Hub. You’ll help build fault-tolerant, scalable SaaS vault products, participate in design reviews, and own parts of disaster recovery and deployment automation.

We value individuals who can drive projects to completion, work with Kubernetes, Python or Go, and collaborate across global teams while enhancing observability and cloud infrastructure on AWS or GCP.

Qualifications

  • Must have track record delivering high-impact projects with long-term scalability.
  • Strong understanding of hosting and networking design patterns.
  • Experience driving product development with minimal handholding.

Responsibilities

  • Support product engineering to build fault-tolerant, scalable applications.
  • Contribute to disaster recovery, backup, redundancy and capacity planning discussions.
  • Participate in global on-call rotation to fix bottlenecks in SaaS environments.
  • Maintain production systems hosting Vault products.
  • Contribute to feature design to improve reliability and user experience.
  • Test and update disaster recovery strategies regularly.
  • Document assets and runbooks for day-to-day operations.
  • Mentor teammates to grow technical skills and Vault knowledge.

Skills

Python
Golang
Kubernetes
AWS
GCP
Observability

Tools

Terraform
Ansible
Puppet
Docker

Job description

Thought Machine seeks a highly capable software engineer to join our London-based Engineering Hub. You’ll help build fault-tolerant, scalable SaaS vault products, participate in design reviews, and own parts of disaster recovery and deployment automation.

We value individuals who can drive projects to completion, work with Kubernetes, Python or Go, and collaborate across global teams while enhancing observability and cloud infrastructure on AWS or GCP.

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