Solutions Architect: Enterprise
Company | Rogo |
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Location | New York, NY, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | |
Experience Level | Mid Level |
Requirements
- 4+ years of industry experience as a cloud engineer.
- experience working with Kubernetes and Terraform
- Deep understanding of Azure components and be well versed with the Azure well architected framework and can apply those principles while designing a solution.
- Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize.
- Own problems end-to-end, and are willing to pick up whatever knowledge you’re missing to get the job done to ensure both your team and our customers succeed.
- Good communication skills with the ability to work with fluid requirements and shape them in collaboration with other team members
- Strong Networking experience is a plus
- Experience with AWS or other cloud environment
Responsibilities
- Design and Implement Cloud Architectures: Develop scalable, secure, and efficient cloud systems using Azure, Kubernetes, and AI technologies. Collaborate closely with the CTO to manage and optimize the partnership with Microsoft.
- Deploy and Manage Cloud Solutions: Lead the deployment and ongoing support of Rogo’s platform for major financial institutions. Ensure high availability, reliability, and performance of services.
- Ensure Security and Compliance: Design and implement robust security measures to protect sensitive financial data. Work closely with the security team to achieve compliance with industry standards and best practices, ensuring a secure environment for Gen AI applications.
- Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale.
- Foster Innovation and Excellence: Drive continuous improvement in code quality, system performance, and development processes. Encourage a culture of innovation and collaboration, mentoring peers and contributing to the growth of the engineering team.
Preferred Qualifications
- Knowledge of AWS, Azure, and GCP services
- Experience at a hypergrowth startup
- Financial Services work experience
- Knowledge of Datadog and other Telemetry tooling