Solvd, Inc.
Solvd, Inc.
Solvd, Inc. este o companie globală de inginerie software și consultanță, care ajută organizațiile să planifice, să dezvolte, să testeze și să modernizeze produse digitale. Activitatea sa acoperă dezvoltarea web și mobilă, experiența digitală și designul, datele și inteligența artificială/învățarea automată, modernizarea platformelor cloud, asigurarea calității și automatizarea. În calitate de partener AWS, Solvd combină expertiza inginerească cu tehnologii precum Zebrunner și Carina pentru a sprijini fluxurile de dezvoltare și testare. Fondată în 2011, compania reunește peste 800 de profesioniști în opt birouri și deservește clienți din sectoare precum sănătatea și logistica în 15 țări. Echipele sale colaborează pentru a crea soluții tehnice adaptate, de la provocări inginerești complexe până la livrarea unor produse cu funcționalități bogate.

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.

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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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