Cloud Solutions Architect - BQuant Enterprise, Tokyo
Bloomberg
Bloomberg runs on data It’s our business and our product. Using the power of technology, we connect the world’s decision makers to accurate information on the financial markets—and help them make faster, more intelligent decisions.
Our Team Finance is changing rapidly. Jupyter and Python are becoming the de facto toolset for financial professionals. With BQuant Enterprise, we provide customers with a turnkey data science platform that delivers operationally ready access to Bloomberg’s comprehensive suite of market-leading financial and alternative datasets.
We are building a cloud-native platform from the ground up to open Bloomberg’s data, core products, and visualizations to data scientists, ML researchers, and quantitative modelers. Delivered as a Bloomberg-managed, cloud-hosted service, BQuant’s mission is to democratize sophisticated quantitative tooling that has traditionally been limited to large banks and hedge funds.
The Cloud Architects Team plays a critical role in this mission. We partner closely with customers to design, build, and scale secure, production-grade integrations between the BQuant platform and customer environments—including data platforms, code repositories, APIs, and AI/ML infrastructure.
This role is suited to an experienced technologist who is comfortable operating at the intersection of architecture, product strategy, and customer engagement.
We’ll trust you to: Act as a senior technical partner to customers — lead deep technical discussions with external stakeholders to understand cloud, data, and security requirements, and translate them into scalable BQuant integration patternsOwn end-to-end integration architecture — design, implement, and evolve production-grade architectures connecting BQuant with customer data stores, version control systems, APIs, and AI/ML platformsIdentify and shape new opportunities — collaborate with Sales and Product to assess customer needs, define solution approaches, and influence roadmap prioritiesDevelop integrations as products — design reusable, standardized integration frameworks that scale across customers rather than one-off solutionsProvide long-term post-sales technical leadership — establish trusted relationships with customers, proactively plan for future growth, and guide the evolution of existing integrationsInfluence product direction — identify gaps between customer needs and platform capabilities, and work closely with engineering and product teams throughout the development lifecyclePrototype and validate solutions — rapidly build proof-of-concept architectures and prototypes to support new use cases, customer evaluations, and go-to-market initiativesMentor and set technical standards — raise the bar for architectural quality, security, and operational excellence across the team
You’ll need to have: Extensive industry experience in software engineering, platform engineering, cloud architecture, or a similar role, with demonstrated ownership of complex systemsFluency in Japanese, Mandarin, or Korean, enabling complex technical conversations with domestic customersProven experience in customer-facing technical roles, confidently leading architecture discussions with external stakeholdersStrong background in cloud-native and hybrid cloud architecturesHands-on experience with GitOps workflows and infrastructure as code (e.g., Terraform)Experience deploying and operating applications across hybrid or multi-cloud environmentsDeep working knowledge of at least one major cloud provider: AWS, Azure, or GCPDemonstrated ability to translate architectural designs into working, production-ready solutions
We’d love to see: Experience with Kubernetes-based application development and operationsProficiency in Python, Golang, or similar languagesExperience designing or supporting MLOps pipelines and GPU-accelerated compute architecturesStrong understanding of networking and connectivity across cloud and on-premise environmentsKnowledge of cloud security best practices, including identity, access management, and data protectionExposure to or strong interest in financial markets and quantitative workflows
If this sounds like you:Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime, feel free to have a look at these:About BQuant - http://www.bloomberg.com/professional/solution/bquant/About Technology at Bloomberg - techatbloomberg.com Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
Our Team Finance is changing rapidly. Jupyter and Python are becoming the de facto toolset for financial professionals. With BQuant Enterprise, we provide customers with a turnkey data science platform that delivers operationally ready access to Bloomberg’s comprehensive suite of market-leading financial and alternative datasets.
We are building a cloud-native platform from the ground up to open Bloomberg’s data, core products, and visualizations to data scientists, ML researchers, and quantitative modelers. Delivered as a Bloomberg-managed, cloud-hosted service, BQuant’s mission is to democratize sophisticated quantitative tooling that has traditionally been limited to large banks and hedge funds.
The Cloud Architects Team plays a critical role in this mission. We partner closely with customers to design, build, and scale secure, production-grade integrations between the BQuant platform and customer environments—including data platforms, code repositories, APIs, and AI/ML infrastructure.
This role is suited to an experienced technologist who is comfortable operating at the intersection of architecture, product strategy, and customer engagement.
We’ll trust you to: Act as a senior technical partner to customers — lead deep technical discussions with external stakeholders to understand cloud, data, and security requirements, and translate them into scalable BQuant integration patternsOwn end-to-end integration architecture — design, implement, and evolve production-grade architectures connecting BQuant with customer data stores, version control systems, APIs, and AI/ML platformsIdentify and shape new opportunities — collaborate with Sales and Product to assess customer needs, define solution approaches, and influence roadmap prioritiesDevelop integrations as products — design reusable, standardized integration frameworks that scale across customers rather than one-off solutionsProvide long-term post-sales technical leadership — establish trusted relationships with customers, proactively plan for future growth, and guide the evolution of existing integrationsInfluence product direction — identify gaps between customer needs and platform capabilities, and work closely with engineering and product teams throughout the development lifecyclePrototype and validate solutions — rapidly build proof-of-concept architectures and prototypes to support new use cases, customer evaluations, and go-to-market initiativesMentor and set technical standards — raise the bar for architectural quality, security, and operational excellence across the team
You’ll need to have: Extensive industry experience in software engineering, platform engineering, cloud architecture, or a similar role, with demonstrated ownership of complex systemsFluency in Japanese, Mandarin, or Korean, enabling complex technical conversations with domestic customersProven experience in customer-facing technical roles, confidently leading architecture discussions with external stakeholdersStrong background in cloud-native and hybrid cloud architecturesHands-on experience with GitOps workflows and infrastructure as code (e.g., Terraform)Experience deploying and operating applications across hybrid or multi-cloud environmentsDeep working knowledge of at least one major cloud provider: AWS, Azure, or GCPDemonstrated ability to translate architectural designs into working, production-ready solutions
We’d love to see: Experience with Kubernetes-based application development and operationsProficiency in Python, Golang, or similar languagesExperience designing or supporting MLOps pipelines and GPU-accelerated compute architecturesStrong understanding of networking and connectivity across cloud and on-premise environmentsKnowledge of cloud security best practices, including identity, access management, and data protectionExposure to or strong interest in financial markets and quantitative workflows
If this sounds like you:Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime, feel free to have a look at these:About BQuant - http://www.bloomberg.com/professional/solution/bquant/About Technology at Bloomberg - techatbloomberg.com Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
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