Principal Engineer (full Stack) — Go / Gcp / Ai

Deutsche Bank UK

London, United Kingdom
Competitive salary; non-contributory pension; 30 d...
Hybrid
Go backend services and apis
Full stack solutions
Google cloud platform (gcp)
Synthix is building a SaaS native marketplace of financial solutions—a tech first platform that plugs into client workflows and connects them to an ecosystem of partners through a single integration

Job Summary

  • Synthix is building a SaaS native marketplace of financial solutions—a tech first platform that plugs into client workflows and connects them to an ecosystem of partners through a single integration.
  • We are deliberately strengthening our engineering capability with inspirational, hands on technical leadership—people who ship, raise the bar on quality, and deliver enterprise grade reliability at fintech speed.
  • We are committed to providing an environment with your development and wellbeing at its centre, including hybrid working, competitive salary, and a range of flexible benefits.

Matching Summary

Synthix is building a SaaS native marketplace of financial solutions—a tech first platform that plugs into client workflows and connects them to an ecosystem of partners through a single integration.

Salary

Competitive salary; Non-contributory pension; 30 days’ holiday plus bank holidays, with the option to purchase additional days; Life Assurance and Private Healthcare; Range of flexible benefits

Skills & Requirements

Must-have

  • Go backend services and APIs
  • Full stack solutions
  • Google Cloud Platform (GCP)
  • AI driven features
  • Production ready features
  • SaaS native marketplace

Nice-to-have

  • Startup level engineering agility
  • Inspirational, hands on technical leadership
  • Continuous learning
  • Simplifying complexity
  • Improving developer experience

Key Requirements

  • Principal or Staff Engineer experience
  • Fintech or high scale SaaS experience
  • Regulated environments experience
  • Go and modern backend engineering expertise
  • Kubernetes experience
  • Hands on GCP production workload experience
  • Full stack capability
  • Recent hands on coding experience (last 6-12 months)
  • Experience implementing AI features in production

Work Rights

Not specified

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