Cloud Solutions Architect at Rogo

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, FinTechIndustries

Requirements

5–7+ years of experience in customer-facing technical roles, ideally in cloud engineering or solutions architecture
Fluent in discussing cloud security and networking best practices
Strong proficiency in AWS, GCP or Azure cloud platforms, including services like EC2, S3, VPC, and RDS
Hands-on experience with Kubernetes, Terraform, and Helm for managing containerized applications
Ability to design robust abstractions and infrastructure components to solve complex customer challenges
Operate with high ownership, taking end-to-end responsibility for technical solutions and customer success
Exceptional communication skills to convey technical concepts to both technical and non-technical stakeholders
A collaborative mindset, thriving in fast-paced environments and working seamlessly across teams
Thrive in fast-paced environments; high-intensity, ambitious, curious, autonomous, self-directed, comfortable with ambiguity; collaborative, organized, thoughtful, and kind

Responsibilities

Act as a trusted advisor to customers, deeply understanding their business challenges and technical requirements
Lead architectural discussions and hands-on implementations to design tailored cloud solutions
Build and maintain strong relationships with customer leadership and technical teams to ensure successful deployments and long-term satisfaction
Architect and implement scalable, secure, and efficient cloud systems using AWS, Azure, GCP, Kubernetes, and Rogo’s AI platform
Develop Terraform modules and automation scripts to streamline deployment and management of Kubernetes clusters, tailored to customer-specific security and compliance needs
Ensure solutions align with cloud best practices, including high availability, disaster recovery, and cost optimization
Partner with Sales, Product, and Customer Success teams to align technical solutions with customer goals and business outcomes
Provide actionable feedback from customer engagements to inform product development and innovation

Skills

Key technologies and capabilities for this role

AWSAzureGCPKubernetesTerraformInfrastructure as CodeCloud Architecture

Questions & Answers

Common questions about this position

What experience level is required for the Cloud Solutions Architect role?

The role requires 5–7+ years of experience in customer-facing technical roles, ideally in cloud engineering or solutions architecture.

What technical skills are essential for this position?

Candidates need strong proficiency in AWS, GCP or Azure cloud platforms (including EC2, S3, VPC, and RDS), hands-on experience with Kubernetes, Terraform, and Helm, and fluency in cloud security and networking best practices.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Cloud Solutions Architect position?

Strong candidates demonstrate problem-solving skills to design robust abstractions for complex challenges, high ownership taking end-to-end responsibility for solutions and customer success, and experience in customer-facing roles with technical expertise in cloud and Kubernetes.

Rogo

Generative AI platform for financial institutions

About Rogo

Rogo provides a secure generative AI platform tailored for elite financial institutions, including investment banks, hedge funds, and asset management companies. The platform utilizes advanced large language models to search, analyze, and cite millions of documents, significantly reducing the time spent on manual research. This allows junior team members to focus on more valuable tasks while enabling executives to quickly access critical information. Rogo's business model centers on customizing its AI solutions to meet the specific needs of each client, ensuring that the platform understands the unique language and data of their operations. Revenue is generated through subscription fees and additional services like customization and support. The main goal of Rogo is to enhance productivity and decision-making in financial institutions, helping them save time, improve insights, and automate workflows.

New York City, New YorkHeadquarters

2021Year Founded

$29.2MTotal Funding

SERIES_ACompany Stage

Fintech, AI & Machine LearningIndustries

11-50Employees

Risks

Increased competition from established fintech companies like Palantir and Bloomberg.

Potential over-reliance on third-party data providers like Quartr.

Regulatory scrutiny on AI-driven financial platforms is intensifying.

Differentiation

Rogo offers a bespoke AI solution tailored to each financial institution's needs.

The platform integrates and analyzes data from both internal and external sources.

Rogo's AI can search, analyze, and cite millions of documents efficiently.

Upsides

Rogo raised $18.5M in Series A funding led by Khosla Ventures.

Partnership with Quartr enhances Rogo's analysis tools for investment bankers.

Rogo's AI automates workflows, saving time and improving decision-making.

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