Solution Architect
New
Based in United StatesFull-TimeSenior
Salary$180,000–$220,000 USD, with potential additional bonus or equity components
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Job Details
- Experience
- 5+ years of technical experience, including at least 1+ year in a client-facing solutions, consulting, or pre-sales engineering role
- Required Skills
- AWSPythonGCPKubernetesAzureCI/CDLinuxTerraformR
Requirements
- 5+ years of technical experience, including at least 1+ year in a client-facing solutions, consulting, or pre-sales engineering role.
- Strong experience designing and deploying solutions in complex enterprise environments, ideally including regulated industries.
- Hands-on expertise with Kubernetes (EKS, AKS, or GKE) and containerized application architectures.
- Experience with at least one major cloud platform (AWS, Azure, or GCP) in production environments.
- Strong understanding of Linux systems and distributed computing concepts.
- Experience with APIs, system integrations, identity and access management (SAML/OIDC, Keycloak), and CI/CD pipelines.
- Programming experience in Python or R.
- Ability to translate security, compliance, and governance requirements into robust, scalable architecture designs.
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Responsibilities
- Design end-to-end solution architectures that integrate advanced AI and data platforms into enterprise environments, covering infrastructure, identity, security, and data systems.
- Lead the implementation of customer-specific integrations, including cloud-native deployments, Kubernetes-based environments, and ecosystem connectivity.
- Partner with sales engineering and account teams to scope solutions, build proofs of concept, and deliver tailored technical demonstrations for enterprise customers.
- Develop reusable architectural artifacts such as reference architectures, integration templates, and deployment runbooks to improve scalability and consistency across engagements.
- Collaborate with product and engineering teams to translate customer requirements, security constraints, and field feedback into actionable product enhancements.
- Support the enablement of internal teams by documenting best practices and sharing knowledge on integrations and field solutions.
- Continuously evaluate and apply emerging technologies across cloud, data, and AI/ML ecosystems to improve solution design and delivery.
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