Solvd, Inc.
Solvd, Inc.
501 – 1,000 Employees
ConsultingHealthcareLogistics
Solvd, Inc. is a global software engineering and consulting company that helps organizations plan, build, test, and modernize digital products. Its work spans web and mobile development, digital experience and design, data and AI/ML, cloud platform modernization, quality assurance, and automation. As an AWS partner, Solvd combines engineering expertise with technologies such as Zebrunner and Carina to support development and testing workflows. Founded in 2011, the company brings together more than 800 professionals across eight offices and serves clients in sectors including healthcare and logistics across 15 countries. Its teams work collaboratively on tailored technical solutions, from complex engineering challenges to feature-rich product delivery.

Principal Solutions Architect, Cloud Infrastructure and Data at Solvd (Remote)

Lead cloud, infrastructure, data, and AI architecture across AWS, Azure, and Kubernetes. Help Solvd deliver secure, scalable transformation solutions from early innovation through enterprise production.

Description

  • Set technical direction, reference architectures, landing zones, and engineering standards across AWS, Azure, Kubernetes, and infrastructure as code.
  • Create patterns for lakehouses, warehouses, streaming systems, data governance, and data quality.
  • Architect platform layers that move generative AI and agentic workloads from prototypes into production.
  • Define access controls, evaluation methods, observability, and cost controls for AI platforms.
  • Lead technical discovery, estimate and de-risk engagements, and produce solution designs and technical scopes.
  • Apply AI tools to discovery synthesis, design drafting, infrastructure and code generation, reviews, documentation, and estimation.
  • Develop repeatable AI-assisted patterns and prompts for broader team adoption.
  • Define safeguards for using AI with client and production data.
  • Own IAM, network segmentation, secrets management, and logging strategies.
  • Design solutions that support SOC 2, ISO 27001, and regulated-industry compliance.
  • Account for operating costs, reliability objectives, observability, and rollback plans in solution designs.
  • Conduct design reviews and mentor architects and senior engineers.
  • Convert proven solutions into reusable accelerators.
  • Partner directly with Cloud BU leadership on engagement strategy and roadmaps.
  • Guide AI-focused initiatives from startup innovation to enterprise transformation.

Requirements

  • At least 12 years of experience in infrastructure, cloud, or data engineering.
  • Several years serving as the accountable architect for large-scale production systems.
  • Advanced hands-on experience with AWS and/or Azure.
  • Professional experience running Kubernetes in production.
  • Experience with Terraform or an equivalent infrastructure-as-code tool.
  • Ability to conduct credible pull request reviews.
  • Experience designing and delivering modern data platforms, including governance and data quality.
  • Security-focused experience with IAM, zero-trust networking, encryption, and audit readiness.
  • Demonstrated use of AI to reduce delivery time or increase output.
  • Ability to validate AI-generated work before it reaches production.
  • Ability to communicate technical tradeoffs to both CFOs and engineers.
  • Ability to operate through ambiguity and establish initial plans.
  • Preferred: production experience with generative AI or LLM systems, including RAG, evaluation, guardrails, or agent orchestration.
  • Preferred: enterprise-scale multi-cloud or hybrid architecture experience.
  • Preferred: experience in regulated industries.
  • Preferred, but not required: AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA certification.
  • Preferred: experience establishing an architecture practice or center of excellence.

Benefits

  • Equal opportunity employer.
  • Inclusive workplace focused on continuous learning, innovation, and ethical AI practices.
  • Opportunity to influence practical AI projects across major industries.
  • Collaboration with an international team spanning multiple continents and cultures.

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