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Sr. Solutions ArchitectFuture Secure AIUnited States
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Sr. Solutions Architect

Future Secure AI
  • US
    United States
  • US
    United States

Über

Responsibilities
Define end‑to‑end solution architectures that map client business requirements to scalable technical designs
Design and guide Kubernetes‑based architectures supporting AI and application workloads
Lead solution design across cloud infrastructure, application services, data flows, and integrations
Work hands‑on with public cloud services to shape deployable, production‑ready solutions
Collaborate with engineers, AI developers, and platform teams to ensure architectures are implemented as designed
Support architecture workshops and design sessions with internal teams and client stakeholders
Ensure solutions align with SDLC practices from design through build, test, deployment, and operation
Design application and system architectures spanning APIs, services, and multi‑component systems
Contribute to platform engineering efforts that enable teams to build and operate AI Co‑Workers efficiently
Balance technical excellence with pragmatism, cost, scalability, security, and delivery speed
Must Have Criteria
Hands‑on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed Kubernetes
Hands‑on experience with at least one public cloud provider such as AWS, Azure, or Google Cloud
Professional experience using at least two programming or scripting languages such as Python, Java, Go, C#, JavaScript/TypeScript, Ruby, Bash, or PowerShell
Experience working across the full software development lifecycle including CI/CD, testing, deployment, and operation
Demonstrated Solution Architect experience defining solutions that translate business needs into technology designs
Application architecture experience designing services, APIs, and multi‑component software systems
Platform engineering experience building or operating platforms that enable other teams or customers
Should Have Criteria
Hands‑on Terraform experience for infrastructure provisioning and automation
Hands‑on Helm experience for Kubernetes application deployment
More than five years of relevant professional experience
Exposure to enterprise or domain‑wide architecture, including standards, roadmaps, or governance
Strong stakeholder management skills with senior or cross‑functional stakeholders
Experience contributing to complex or high‑stakes engagement scenarios such as large programmes, multi‑vendor delivery, or regulated environments
Preferable Criteria
Relevant certifications such as AWS, Azure, GCP, CKA, CKAD, DevOps, DevSecOps, or programming certifications
Strong DevOps or DevSecOps experience, including CI/CD ownership, security practices, and infrastructure automation as a primary responsibility
Benefits
A high-performance culture
State‑of‑the‑art technology
Experience world‑class leadership
Scale of impact and purpose
A competitive salary and a huge growth trajectory
Work with the best in the industry
Flexible work environment
Diversity and creativity
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  • United States

Sprachkenntnisse

  • English
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