Principal Solutions Architect, Cloud, Infrastructure, Data

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Solvd, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

📋 Description

• Define technical direction, reference architectures, landing zones, and standards across AWS, Azure, Kubernetes, and infrastructure-as-code • Design lakehouse, warehouse, streaming, data governance, and data quality patterns • Design platform layers for GenAI and agentic workloads from prototype to production • Cover access control, evaluation, observability, and cost guardrails for AI platforms • Lead technical discovery, size and de-risk engagements, and write solution designs and technical scope • Use AI tools for discovery synthesis, design drafts, IaC and code generation, reviews, documentation, and estimation • Establish repeatable AI-enabled patterns and prompts for team adoption • Set guardrails for AI use with client and production data • Own IAM, network segmentation, secrets management, and logging • Design for SOC 2, ISO 27001, and regulated-industry compliance • Include run cost, reliability targets, observability plans, and rollback paths in designs • Run design reviews and mentor architects and senior engineers • Turn repeat solutions into reusable accelerators • Work directly with Cloud BU leadership to shape engagements and roadmaps • Shape AI-driven projects from startup innovation through enterprise transformation

🎯 Requirements

• 12+ years in infrastructure, cloud, or data engineering • Several years as the accountable architect for production systems at scale • Deep hands-on experience with AWS and/or Azure • Production Kubernetes experience • Terraform or equivalent infrastructure-as-code tool experience • Ability to credibly review pull requests • Experience designing and shipping modern data platforms, including governance and data quality • Security-first experience with IAM design, zero-trust networking, encryption, and audit readiness • Concrete examples of using AI to shorten delivery timelines or expand output • Ability to verify AI-generated output before production use • Ability to explain technical tradeoffs to CFOs and engineers • Ability to act under ambiguity and create initial plans • Preferred: production GenAI or LLM systems experience, including RAG, evaluation, guardrails, or agent orchestration • Preferred: multi-cloud or hybrid experience at enterprise scale • Preferred: regulated-industry experience • Preferred but not required: AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA certification • Preferred: experience building an architecture practice or center of excellence

🏖️ Benefits

• Equal opportunity employer • Inclusive environment prioritizing continuous learning, innovation, and ethical AI standards • Opportunities to shape real-world AI-driven projects across key industries • Collaboration with a global team across continents and cultures