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At Rogo, we are building Wall Street's first true AI analyst. Our mission is to empower finance professionals at the world’s top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We are not just improving financial workflows; we are redefining them from the ground up. This is a unique opportunity to join a generational company at a key inflection point. With a rapidly growing client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI. Our team is sharp, motivated, and deeply committed to the mission. We operate with intensity, take ownership of complex problems, and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.
Job Responsibility:
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
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
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
Nice to have:
Experience with financial services or regulated industries
Knowledge of Datadog or other telemetry tools for monitoring