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Saturn

AI-driven platform for financial data accuracy

Senior Backend Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • At least 5 years of experience building backend systems, including ownership of a substantial service or platform capability from design through operation.
  • Strong command of Go and TypeScript, or comparable depth in another language and willingness to work in both.
  • Strong understanding of Kafka or an equivalent event-driven system, including ordering, replay, idempotency, and partial failure.
  • Experience modelling complex or data-critical systems across SQL and NoSQL, with a clear understanding of APIs, service boundaries, and data contracts.
  • Ability to design for correctness, resilience, and observability, and build reliable integrations with external systems.
  • A record of scoping and delivering work measured in months against a business or product objective, with comfort owning decisions under incomplete information and real deadlines.
  • Experience owning production services, investigating incidents, and applying lessons to improve architecture.
  • Ability to write clear design documents for consequential systems, mentor engineers, and raise standards for design review, testing, and operations.

Responsibilities

  • Own substantial backend systems and platform capabilities from design through reliable operation in production.
  • Build event-driven architecture and Kafka-based workflows, including long-running processes that behave correctly under retries, replay, and partial failure.
  • Develop core data models spanning clients, households, firms, assets, products, advice, and evidence for use across the platform.
  • Build ingestion and synchronisation across CRMs, platforms, providers, and financial systems, with reconciliation that makes external data accurate, current, and usable.
  • Build services behind automated compliance and advice products, including permissions, policy enforcement, and firm-specific configuration.
  • Develop the interface between backend systems and the AI platform, supplying reliable context, tools, and execution capabilities to agents.
  • Maintain correctness, auditability, and data integrity across financial workflows so material actions remain traceable.
  • Own production observability, alerting, incident response, performance, and scalability for the services built.
  • Develop shared backend libraries, patterns, and platform capabilities, and provide technical direction, design and code review standards, and mentoring within the area.

Desired Qualifications

  • Experience building software for financial services or another regulated domain, ideally financial advice, wealth management, or investment products.
  • Experience with systems that hold, transact, or manage money, such as ledgers, payments, custody, portfolio systems, or financial reconciliation.
  • Experience with long-running workflow engines or orchestration systems.
  • Experience with document-heavy or evidence-heavy systems.
  • AWS infrastructure experience.
  • Experience building systems subject to compliance, audit, or regulatory scrutiny.
  • Experience meeting enterprise security requirements such as SOC 2 and client due diligence questionnaires.
  • Experience taking backend systems from early production use to significant scale.

About the Company

Saturn

AI-driven platform for financial data accuracy

Saturnos provides an AI-driven platform for financial services that improves data accuracy, compliance, and operational efficiency, with CoPlanner AI that integrates with existing tools to create a single source of truth. It plugs into current systems, gathers data from structured and unstructured sources, cleans and harmonizes it, and automates administrative tasks with governance features. The platform differentiates itself with a true single source of truth, seamless integration with client ecosystems, strong data protection, and tailored ongoing licensing. Its goal is to elevate advisory practices and client experiences by turning data into reliable insights and automating processes to drive growth for financial advisors and institutions.

Company size
51-200
Company stage
Series A
Total funding
$15.1M
Headquarters
London, United Kingdom
Founded
2023

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