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Salary
≈ $111k – $265k per year (Estimated)
Location
In office (Zurich)
Seniority
Staff
Employment
Full-Time

First seen by Alion on Oct 22, 2026.

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Google is a global technology company known for search, advertising, cloud computing and YouTube, with research groups such as DeepMind. Its Swiss engineering site hires software engineers, data scientists and cloud solution architects. The Swiss operations are headquartered in Zurich, Switzerland.

*info_outline*

X In most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Frankfurt am Main, Germany; Zürich, Switzerland; Munich, Germany; London, UK.

Minimum qualifications: ###
  • Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  • 7 years of Capital Markets and Exchanges experience designing and architecting solutions for issuance, clearing, trading, settlement, custody, reference, and market data.
  • 4 years of experience in software or data engineering with one or more programming languages (e.g., Python, Go, or Java), including experience with design patterns, testing frameworks, and API contract design.
  • Experience in Financial Services, including experience with the regulatory and operational rigors of clearing, settlement, or custody.
Preferred qualifications: ###
  • Experience designing and implementing smart contracts within regulated Financial Market Infrastructures (FMIs). This includes managing the life-cycle of tokenized assets.
  • Experience working in a high-maturity DevOps culture (trunk-based development, automated testing, blue/green deployments).
  • Proficient in BigQuery, Vertex AI, Dataflow, and Pub/Sub.
  • Understanding of data residency, encryption at rest/transit (CMEK), and "Explainable AI" requirements in banking.
  • Strong understanding of relational, NoSQL, and analytical data modeling (Star Schema, Data Vault, etc.).
  • Ability to independently drive the discovery phase, moving from a vague business problem to a structured PRD and a working technical demo.
About the job ###

In this role, you will operate within the Innovation team, the Capital Markets and Exchanges Solution Architect collaborates with clients to transform initial concepts into reality. You will collaborate in strategic business transformations through designing and architecting cutting-edge solutions across all aspects of trade processing: clearing, issuance, settlement, custody and post trade processing. You will be a trusted advisor to our customers in helping them shape their future through the latest Technologies, tokenization platforms and the flexibility of scaling cloud to enable latency sensitive trading with your deep knowledge of the business, current and horizon technologies.

In this role, you will be an independent, highly motivated and opinionated problem solver, innovator, and builder, able to learn, influence and build trust with a highly complex financial institution. You will be expected to advise on best practices across business and technology to realize innovative solutions using the latest cloud technologies.

Google Cloud accelerates every organization-s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google-s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: -148000 - -151000 (EUR) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities ###
  • Design and architect solutions such as scalable position-keeping services, hybrid financial instruments handling, low latency and stream solutions for trading exchanges.
  • Evaluate and integrate solutions with modern data foundations, including Relational Databases, Data Lake Houses, and real-time streaming architectures, ensuring data pipelines are optimized for AI retrieval, agentic workflows, and real-time financial insights.
  • Partner with client leads(business user) to create Product Requirement Documents (PRDs), clearly defining Critical User Journeys (CUJs) and success metrics.
  • Create clear technical guides to ensure a seamless hand-off from Point of Contact to engineering teams.
  • Build reusable Proof-of-Concept and MVP code, documentation, presentations demonstrating reworld solutions using Google Cloud Platform.
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